Applied AI & Analytics Associate, Office of the CEO

Miami, FL | Office of the CEO — Data, Analytics & AI

You Don't Wait to Be Asked. Neither Do We.

At SharkNinja, we've built a culture around one simple belief: the best answer wins. Not the loudest opinion. Not the most senior voice in the room. The best answer — backed by data, delivered with clarity, and executed with urgency.

We're hiring an Applied AI & Analytics Associate to sit inside the Office of the CEO. This is not a support role. This is not a reporting role. This is a problem-solving role — one where you'll work directly alongside the VP, Chief of Staff to the CEO and senior leaders across the company to crack open the problems that matter most and turn them into decisions that drive the business forward.

If you thrive in ambiguity, build before you're told to, move fast across functions, and believe that a clean insight delivered fast beats a perfect deck delivered late — read on.

What You'll Actually Do

You will be an analytics and AI professional embedded in the Office of the CEO, contributing to high-impact analytical work across the company and contributing to how SharkNinja uses data and AI to make better decisions.

This is not a single-team support role. You'll move across functions — working with product, operations, finance, supply chain, marketing — on whatever problems matter most to the business right now.

On any given week, you might:

• Partner with the VP and Chief of Staff on analytical questions that require structured problem-framing, data modeling, or clear recommendations
• Contribute to multi-week analytical initiatives from scoping through delivery, working with senior stakeholders on managing expectations and timelines
• Build and maintain dashboards, decision-support tools, and analytical models that help senior leaders operate more effectively
• Use LLMs, AI automation, or machine learning to accelerate your own analysis and help other teams do the same
• Identify gaps in how the company tracks performance and propose practical improvements in collaboration with finance, operations, and product teams
• Work with teams to adopt analytical approaches or tools, contributing to broader adoption and impact
• Introduce better analytical methods and tools to raise the quality and consistency of output across teams
• Communicate findings clearly to senior stakeholders — translating complex analysis into straightforward recommendations that connect to business outcomes
• Connect the dots between data from multiple functions to surface insights no single team could see on their own
• Help support and review work from junior analysts or co-ops, contributing to their development

This is a hands-on role based in our Miami office with real ownership over analytical delivery and measurable business impact. You will work on complex problems with appropriate support from senior stakeholders and produce high-quality work.

What It Takes to Win Here

Must Have:

• 2+ years of experience in analytics, data science, or consulting with a demonstrated track record of analytical delivery
• Hands-on experience deploying or building with LLMs, generative AI, or automation tools — not just familiarity, but practical usage in real work
• Strong working command of SQL and Python — you pull and manipulate data directly and can build scalable analytical solutions
• Proficiency building dashboards and analytical tools (Tableau, Power BI, Looker, or similar)
• Clear communication skills — you can present findings to senior stakeholders and explain complex analysis in plain language
• Demonstrated ability to take an ambiguous business question and structure a complete analytical approach
• Experience managing multiple workstreams and delivering against timelines with limited oversight
• Previous project or program management experience — managing scope, timelines, and cross-functional coordination
• Understanding of impact orientation — you connect your analytical work to business results and can articulate what changed because of your analysis
• Experience contributing to adoption — you've worked on building or improving a tool, process, or approach that a team has used; you're learning what it takes to drive change

Even Better If You Have:

• Background in consumer products, retail, or e-commerce — you understand margin dynamics, go-to-market, and how these businesses scale
• Experience with advanced statistical methods — experimentation, time-series analysis, or applied ML
• Hands-on experience with large-scale data infrastructure — designing data pipelines, working with modern cloud platforms (Snowflake, BigQuery, Databricks)
• Prior exposure to working alongside executive or senior leadership teams
• Experience identifying and solving systemic problems — moving beyond answering a single question to fixing how a team or function operates

Tools & Stack

• Languages: SQL, Python (strong proficiency); R, Scala, or equivalent a plus
• BI & Visualization: Tableau, Power BI, Looker, or similar — deep proficiency in at least one platform
• Data Platforms: Hands-on experience with modern cloud data platforms (Snowflake, BigQuery, Databricks)
• AI & Automation: Production experience with LLMs, generative AI, or automation tools — not just familiarity, but deployed solutions
• Collaboration Tools: Slack, Jira, Asana, or similar for cross-functional coordination

Why This Role, Why Now

SharkNinja is one of the fastest-growing consumer product companies in the world. We operate with the intensity of a startup and the scale of a global brand — and the Office of the CEO is where the most important, cross-cutting work gets done.

This role gives you direct exposure to how a company at this scale makes decisions, solves hard problems, and keeps moving. You will not be on the sidelines. You will be in the room. You will work across the entire company, not in service of a single function.

If you want a role where you can see the impact of your work — where you're not just producing output but driving outcomes — and where you're building capability that others actually use, this is it.

Work Period: June 2026 to August 2026 

Location & Schedule: This is a full-time, 40-hour-per-week position with a minimum of 3 days per week onsite either in Miami, FL or in Needham, MA. There is no relocation or housing assistance for this position. 

Join the SharkNinja Early Edge Experience: Built for early career talent. Geared toward impact. Driven by speed. Whether you're in a co-op or internship, our early talent program is designed to provide valuable exposure to the industry and a fast-paced professional environment. You'll dive into meaningful projects and tasks that sharpen your skills and deepen your knowledge. Along the way, you'll benefit from professional development opportunities, community events, and connections that make your experience well-rounded and enriching. Your time with us will culminate in an opportunity to showcase your contributions and learnings to SharkNinja leaders because this is a program for those ready to shape what's next — fast. 

This role: As an Applied AI & Analytics Intern, you'll be at the heart of driving company-wide AI transformation and working on high-impact, cross-functional business problems. 

You'll partner closely with other members of the team to utilize AI to turn data into insights that inform decisions across the company. This role sits at the intersection of SharkNinja's Jailbreak AI initiative, a company-wide movement backed by $1M in innovation awards, giving you direct exposure to real AI deployments, not sandbox exercises. 

The internship is built for builders who want to learn by doing, moving fast, and seeing their work in production, not in a slide deck at the end of the summer. We have a strong preference for those who bring full-stack or data analytics experience and are ready to apply it in a real business environment from day one.  

Here are some of the EXCITING things you'll get to do: 

• Support the scoping and analysis of business questions by gathering and organizing relevant data
• Write AI prompts and assist in data cleaning and preparation
• Design and iterate on AI prompts to extract actionable insights from business data
• Help build dashboards, reports, or simple models used by internal teams through the use of AI tools
• Assist in identifying trends, patterns, and insights within datasets through AI
• Use AI tools to improve efficiency and support analytical workflows
• Contribute to agentic workflow prototypes that automate manual, high-friction business processes
• Contribute to materials that communicate findings to stakeholders
• Help identify data gaps or inconsistencies and flag opportunities for improvement 

Our ideal builders will have the following attributes & skills:

• Education: Must be currently enrolled in a bachelor's or master's program
• Must be able to work a full-time, 40-hour-per-week schedule with a minimum of 3 days per week onsite in either Miami, FL or Needham, MA
• Experience with data visualization tools (Tableau, Power BI, Looker, or similar)
• Experience actively building with AI tools (LLMs, automation workflows, or agent frameworks), not just using them
• Experience working with real-world or messy datasets
• Working knowledge of SQL, Python, or similar tools through coursework or projects
• Ability to approach problems in a structured and logical way
• Interest in consumer products, retail, or e-commerce
• Embodies SharkNinja's Success Drivers:
  • Rarely Satisfied – Adopt a 'no delays' mentality in delivering against market needs/timing
  • Progress over Perfection – Make quick, daily progress and continuously adapt to achieve results rather than requiring perfect planning
  • Details Make the Difference – Brings rigor to data preparation, model assumptions, and analytical outputs; understands that the quality of an AI output is only as good as the quality of the input
  • Winning is a Team Sport – Ability to develop strong cross-functional relationships
  • Communicate for Impact – Strong communication skills; ability to deliver effective presentations to all levels of management 

Please note that, due to the high volume of applications for early talent roles, response times may vary depending on the specific role and timeline. Our team appreciates your patience! 

Position Overview

We are seeking a Payroll Specialist to ensure accurate and timely payroll processing for a growing, multi‑state and international workforce. This role supports payroll for employees across multiple states and international locations with varying pay schedules, benefits, overtime calculations, and shift differentials. The position requires strong attention to detail and compliance expertise. This is a Hybrid role based in Miami, FL. Relocation assistance available. 

Key Responsibilities

• Process biweekly and monthly payroll, ensuring accuracy for multiple pay schedules and complex pay rules (overtime, shift differentials, bonuses, retroactive pay).
• Maintain and update employee payroll records, including new hires, terminations, and compensation changes.
• Review and audit payroll reports for accuracy; resolve discrepancies promptly.
• Ensure compliance with federal, state, and local wage and hour laws, tax regulations, and company policies.
• Assist with payroll tax filings and year‑end processes (W‑2, 1099, etc.), wage garnishments, unemployment rates, etc.
• Respond to employee inquiries regarding pay, deductions, and tax with professionalism and confidentiality.
• Support payroll reconciliations, GL postings, and reporting for Accounting.
• Collaborate with corresponding stakeholders to ensure accurate data flow between teams and systems.
• Contribute to process improvements and automation to enhance efficiency and scalability.

Qualifications 

Education

• Associate or bachelor’s degree in accounting, finance, business administration, or related field preferred.
• Payroll certification (e.g., FPC, CPP) is a plus.

Experience

A minimum of 5 years payroll experience, including multi‑state U.S. payroll and international payroll exposure.

Preferred Qualifications

• Experience in high‑growth or technology environments.
• Experience managing and processing payroll runs for equity related income
• Familiarity with payroll accounting (GL postings, reconciliations) and audit support.
• Knowledge of benefits, garnishments, and statutory reporting.

Soft Skills

• Strong interpersonal skills and ability to handle sensitive information with discretion.
• Proven ability to collaborate effectively within cross‑functional teams.
• Excellent written and verbal communication skills.
• Meticulous attention to detail to ensure accuracy of all documentation and deliverables.
• Ability to work under tight deadlines and manage multiple priorities.

Technology Stack

• ADP, Paychex or Rippling payroll processing systems and time tracking required
• Advanced Excel (pivot tables, VLOOKUP/XLOOKUP); experience with Power BI/Tableau a plus.
• Familiarity with accounting system integrations (e.g., NetSuite). 

Physical Requirements

• Ability to work in a standard office environment and use a computer for extended periods.
• Availability to meet payroll deadlines, including occasional after‑hours work during close or year‑end cycles.

This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands. 

Job Summary:

The Operations Manager is responsible for end-to-end ownership of the production value stream, driving operational performance, efficiency, and continuous improvement while ensuring alignment with strategic objectives and customer expectations.

This role is accountable for meeting key performance indicators (KPIs) related to safety, quality, delivery, cost, and efficiency while fostering a data-driven, bottom-up problem-solving culture. They will lead a cross-functional production team, ensuring that workflow optimization, resource utilization, and Lean manufacturing principles are effectively applied to drive operational excellence.

This position collaborates closely with Planning, Materials, Quality, Engineering, and Maintenance to optimize processes, resolve bottlenecks, and implement continuous improvement initiatives that support long-term business growth.

Second Shift: 3pm - 11:30pm

Essential Functions:

• KPI Ownership & Performance Management: Own, monitor, and drive improvement in key performance indicators (KPIs) including on-time delivery (OTD), first-pass yield (FPY), defects per unit (DPU), safety incidents, and cost efficiency within the value stream.
• Lead Daily Operations: Oversee daily production activities, ensuring work is executed safely, efficiently, and in alignment with production schedules, quality standards, and operational goals.
• Team Leadership & Accountability: Manage and develop a cross-functional team including production, quality, materials, and maintenance. Set expectations, provide coaching, and ensure accountability at all levels.
• Production Scheduling & Efficiency: Partner with Production Planning and Materials teams to align demand with capacity, ensuring a balanced workflow, efficient material usage, and optimized labor deployment.
• Data-Driven Problem Solving: Lead root cause analysis and corrective actions for operational issues, using tools such as Pareto analysis, A3 problem-solving, and process mapping to drive improvements.
• Continuous Improvement & Lean Implementation: Champion Lean manufacturing principles, eliminating waste and driving efficiency through 5S, Kaizen, Standard Work, and Value Stream Mapping (VSM) initiatives.
• Cross-Functional Collaboration: Work closely with Engineering, Quality, and Maintenance teams to identify and resolve design, process, or equipment issues affecting production.
• Compliance & Safety: Ensure adherence to safety policies, quality standards, and regulatory requirements. Champion a culture of zero injuries and high-quality production.

Qualifications:

Education & Experience:

• Preferred: Bachelor’s degree in Engineering, Operations Management, Business, Industrial Technology, or a related field.
• Minimum Required: 3-5 years of experience in manufacturing leadership, such as Production Supervisor, Manufacturing Manager, or Value Stream Leadership roles.
• Proven track record of improving KPIs (e.g., cycle time reduction, FPY improvements, DPU reductions, or cost-saving initiatives).

Certifications (Preferred, but Not Required):

• Lean Six Sigma Green Belt (or higher) preferred.
• Project Management Professional (PMP) certification is a plus.
• APICS, CPIM, or other supply chain-related certification is a plus for materials-heavy value streams.

Skills & Competencies:

• Leadership & Team Development: Proven ability to develop, coach, and manage cross-functional teams, ensuring accountability and engagement.
• Data-Driven Problem-Solving: Strong analytical and critical thinking skills with experience in using KPIs, root cause analysis, and Lean tools to drive decision-making.
• Process Optimization: Hands-on experience in Lean manufacturing, value stream mapping, waste elimination, and production workflow optimization.
• Communication & Stakeholder Engagement: Ability to communicate effectively with shop floor teams, peers, and senior leadership, ensuring alignment across the organization.
• Time Management & Prioritization: Strong ability to manage multiple priorities, meet deadlines, and drive results in a fast-paced environment.
• Technical Proficiency: Experience with ERP/MRP systems (INFOR/Syteline a plus), Tableau, and Microsoft Office (Excel, PowerPoint, Word) for reporting and data analysis.

Location: US Remote

Reports To: Director of Data and Analytics 

Salary Range: $130,000 - $170,000

Position Summary:

The Data Engineer is a core builder on IEM’s data and analytics team. This role develops and maintains the data pipelines and transformation models that power Tableau dashboards and business decisions across the organization. Working within an established modern data stack (Fivetran, Snowflake, dbt, Tableau. The Data Engineer turns raw source data into reliable, well-tested, and well-documented analytics-ready datasets. This is a hands-on individual contributor role with real ownership of production data models and growing influence on engineering standards.

Ideal Candidate Profile

You have 3–5 years of experience building data pipelines and transformation workflows in cloud environments. You’re proficient with SQL and Python, comfortable working in Snowflake, and have hands-on experience with dbt or similar transformation tools. You write clean, tested code and take pride in documentation. You’re curious about the business context behind the data and can translate stakeholder questions into well-modeled datasets. You work well on a small team, take feedback constructively, and are eager to grow your skills in analytics engineering, data modeling, and cloud data architecture. You’re excited about AI’s role in modern data work and comfortable using AI coding assistants and agents to accelerate your output.

Key Responsibilities:

• Data Pipeline Development: Build and maintain ELT pipelines using Fivetran and custom integrations that ingest data from source systems including Procore, Salesforce, ERP platforms, and internal databases into Snowflake
• dbt Transformation Models: Develop, test, and document dbt models that transform raw data into clean, reliable datasets for analytics and reporting across Finance, Production, Supply Chain, and Engineering
• Data Modeling: Build dimensional models and staging layers following team conventions, ensuring data is structured for optimal Tableau dashboard performance and ad-hoc analysis
• Data Quality: Write and maintain dbt tests, monitor data freshness, and investigate data quality issues when they arise, owning resolution through to root cause
• Source System Integration: Work with APIs and data connectors to integrate new data sources, troubleshoot ingestion issues, and ensure reliable data flow into the warehouse
• Documentation: Maintain clear documentation for data models, pipeline configurations, and business logic so the team can understand and extend your work
• Collaboration: Partner with business stakeholders to understand data needs, clarify requirements, and deliver datasets that answer real operational questions
• Performance: Monitor query performance and pipeline efficiency, identifying opportunities to optimize warehouse costs and model run times
• Engineering Standards: Participate in code reviews, follow Git workflows and CI/CD practices, and contribute to improving the team’s development processes
• Continuous Learning: Stay current with modern data stack tools and practices, bringing ideas for improvement back to the team
• AI-Assisted Development: Use AI coding assistants and agent-based tools to accelerate pipeline development, code generation, testing, and documentation. Manage AI agents as part of your daily workflow to increase throughput and quality

Qualifications:

• Bachelor’s degree in Computer Science, Information Systems, Data Science, or related field, or equivalent experience
• 3–5 years of experience in data engineering, analytics engineering, or BI development with hands-on experience building production data pipelines
• Strong SQL skills including CTEs, window functions, complex joins, and query optimization
• Experience with Snowflake or similar cloud data warehouses
• Working experience with dbt (data build tool) for building and testing data transformation workflows
• Proficiency in Python for data processing, scripting, and API integrations
• Experience with data integration platforms such as Fivetran or similar ELT tools
• Familiarity with Tableau or similar BI tools and understanding of how data structure impacts dashboard performance
• Comfortable with Git version control and modern development workflows including code review and CI/CD
• Strong problem-solving skills with ability to debug data issues systematically
• Clear written and verbal communication skills with ability to document work and explain technical concepts to non-technical stakeholders
• Self-motivated with ability to work independently in a remote environment while collaborating across a distributed team
• Experience using AI coding assistants (e.g., Claude, GitHub Copilot) and comfort directing AI agents to perform data engineering tasks such as writing SQL, generating dbt models, and debugging pipeline issues
• Preferred: Experience with manufacturing, construction, or project management data systems such as Procore, ERP platforms, or supply chain tools
• Preferred: Familiarity with dimensional modeling concepts (star schemas, fact/dimension tables)

Location

Fully remote within the United States. May require up to 10% travel to IEM facilities for team collaboration, project kickoffs, and stakeholder meetings. 

Switchgear Applications Engineer 

Location: Jacksonville, FL 

Reports To: Technical Program Manager

Salary Range:  $100,000 - $150,000 Annually

Position Summary 

As the Technical Program Application Engineer with the Commercial Enterprise team, you will report to the Technical Program Manager and work closely with both the commercial and engineering teams.

In this role, you will serve as the key technical review and product point person, ensuring the accuracy and completeness of clean orders.

Key Responsibilities 

• Review customer plans and specs for use in the RFQ and Order Entry stages, raising any discrepancies with customers through RFI process,
• Review and redline drawings, suggesting solutions or alternate designs where applicable, to ensure alignment with customer specifications and electrical regulatory body standards, for various regions.
• Respond to external RFIs in accordance with Service Level Agreements.
• Provide detailed scope of customer change requests, submit change notices and follow-up to completion and/or escalate if changes may impact beyond a specific deployment.
• Support post-delivery RFIs through customer/IEM Procore with timely responses and coordinate internal intercept plans where needed.
• Create customer specific content for technical manuals and documentation, provide revisions for new design iterations.
• Provide detailed responses to customers’ design engineering submittal feedback in accordance with Service Level Agreements.
• Proactively interact with clients, vendors and internal teams (sales, field service, commercial, project managers, internal engineering, etc.) to gather information, and resolve issues.
• Communicate effectively with internal partners and customers, industry contacts (where required), in a timely and professional manner. Ensure all affected departments are well informed and provided with timely updates to open projects/concerns.
• Provide regular progress reports on assignments, identifying areas of improvement and/or successes.
• Other duties as assigned.
• Occasional travel is required.

 Qualifications 

• Bachelor’s degree in electrical engineering.
• 5+ years experience with the application of electrical distribution products and systems.
• Knowledge and experience in evaluating complex single line diagrams (SLDs) and communication network diagrams, including media and protocols.
• Strong technical aptitude and analytical skills, with the ability to interpret technical product specifications and applications.
• Familiarity with ANSI, IEEE, UL, and CSA standards for low-voltage power distribution equipment.
• Proficient in both written and spoken English.
• Excellent communication and employee relations skills.
• Enthusiasm for learning and growth; proactively identifies opportunities and takes initiative to resolve issues.
• A problem-solving mindset and the ability to approach challenges constructively.
• Demonstrated ability to manage multiple concurrent deliverables and perform effectively in a dynamic, fast-paced environment.
• Proficiency with MS Office 365, Adobe/Bluebeam, AutoCAD, business intelligence software (e.g., Tableau, Power BI), and ERP systems (experience with Infor is considered an asset

Compensation actually offered for this role will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Position Summary

At IEM, we’re not just growing – we're thriving! Our rapid expansion means new opportunities are always on the horizon. If you’re someone who gets excited by making an impact through interesting challenges, you’ll feel right at home.

IEM is seeking a Sustainability Program Analyst for Jacksonville, FL; Ashburn, VA; Phoenix, AZ to support the execution and growth of our sustainability and ESG initiatives. This role is ideal for a professional with strong analytical skills and an interest in sustainability within a manufacturing environment.

Working closely with the Director of Sustainability and cross-functional teams, this role will contribute to sustainability data management, reporting, and program coordination. The Analyst will help translate sustainability goals into actionable initiatives, support emissions tracking (Scope 1, 2, and 3), and assist with regulatory and customer-driven ESG requirements.

This position offers hands-on exposure to sustainability strategy, data systems, and operational initiatives in a fast-paced industrial setting.

Key Responsibilities

Program & Initiative Support

• Support the coordination and execution of sustainability programs and initiatives.
• Assist in tracking project timelines, milestones, and KPIs across multiple initiatives.
• Help maintain documentation such as program plans, trackers, and status updates.
• Collaborate with internal teams (operations, engineering, supply chain, finance) to support project execution.

Sustainability Data & Analysis

• Collect, validate, and manage sustainability data, including Scope 1, 2, and 3 emissions.
• Assist in maintaining greenhouse gas (GHG) inventories aligned with the GHG Protocol.
• Analyze data to identify trends, gaps, and improvement opportunities.
• Support development of dashboards, reports, and presentations for internal stakeholders.

Sustainability Operations Support

• Partner with internal teams to support initiatives related to:
• Energy efficiency and facility emissions
• Waste and water management
• Supply chain sustainability data collection
• Assist in evaluating sustainability improvement opportunities through basic analysis and research.

Regulatory & Reporting Support

• Support preparation of sustainability disclosures and reports (e.g., SASB, GRI, CSRD).
• Assist with data gathering for audits, customer requests, and ESG questionnaires (e.g., CDP, EcoVadis).
• Monitor and summarize emerging sustainability regulations and standards.

Stakeholder Collaboration

• Coordinate with internal stakeholders to gather data and support initiatives.
• Help prepare materials for leadership updates and external communications.
• Contribute to internal sustainability awareness and engagement efforts.
• The candidate will be expected to perform additional duties as assigned to support the team and organization 

Qualifications Required

• Bachelor’s degree in Sustainability, Environmental Science, Engineering, Business, or related field.
• 2–3 years of experience in sustainability, data analysis, operations, or a related role.
• Strong analytical and problem-solving skills with attention to detail.
• Experience working with data (Excel, dashboards, or similar tools).
• Basic understanding of sustainability concepts (GHG emissions, ESG, or climate-related frameworks).
• Strong communication and organizational skills.
• Ability to work collaboratively in a cross-functional manufacturing environment.

• Able to travel for work 25-30%.
• Demonstrated career ambition with a track record of growth and increasing responsibility; highly promotable with the potential to take on broader leadership roles within a fast-paced, high-growth organization 

Preferred

• Exposure to sustainability frameworks (GHG Protocol, SASB, GRI, CDP, etc.).
• Experience with data visualization tools (e.g., Power BI, Tableau).
• Internship or work experience in manufacturing, industrial, or energy-related environments.
• Familiarity with ESG or sustainability reporting tools/platforms is a plus.

Key Competencies

• Strong attention to detail and data accuracy
• Analytical thinking and curiosity
• Willingness to learn and grow in sustainability
• Effective communication and teamwork
• Ability to manage multiple tasks and priorities

Job Title: Analytics Engineer
Department: Panther Insights
Reports To:  Director, Business Intelligence
FLSA: Exempt
Employment Type: Full-Time
Location: Florida Panthers Hockey Club

Position Overview

We are seeking an Analytics Engineer with 1–3 years of experience to join our Business Intelligence team. This role is designed for a technical problem-solver who enjoys architecting the data logic that powers a championship-winning commercial strategy. Operating 100% on-site at our Sunrise offices, you will collaborate directly with our team in a fast-paced environment to serve as the critical bridge between our technical data architecture and the mathematical frameworks that dictate our business operations. This position is perfect for someone with a strong foundation in SQL and Python, a passion for working with data at scale, and a desire to be at the heart of the action in the sports and entertainment industry.

Key Responsibilities

• Architect and define the core data models and semantic layers within Amazon Redshift to serve as the primary foundation for all organizational reporting and Tableau visualizations.
• Write and maintain high-performance Python and SQL to automate complex data streams, utilizing AWS services to ensure our infrastructure is efficient and scalable.
• Act as a technical consultant to our data analysts, translating business requirements into precise data structures that allow the team to influence departmental strategy.
• Build and implement automated testing and monitoring frameworks to guarantee 100% data integrity before insights reach the executive decision-making table.
• Assist in the containerization and deployment of data workflows using Docker and Prefect, transforming manual or legacy processes into scalable, production-grade solutions.
• Continuously optimize query performance and data warehouse logic to ensure that diverse commercial data streams are unified into fast, revenue-driving insights, while minimizing cost.
• Build and maintain automated deployment pipelines (CI/CD).

Qualifications

Required:

• Bachelor’s degree in Computer Science, Statistics, Data Engineering, Information Systems, or a related technical field.
• 1-3 years of experience in analytics engineering, data engineering, database management, or a similar data-intensive role.
• Advanced proficiency in SQL, with a focus on writing optimized, cost-efficient queries and managing complex logic within Redshift.
• Solid experience using Python for data processing, automation, and interacting with APIs.
• Hands-on experience designing and maintaining production-level ETL/ELT pipelines and data models.
• Familiarity with Tableau, specifically in managing data sources and ensuring a clean, performant semantic layer for end-users.
• Ability to work full-time, on-site at our Sunrise, FL offices. This role is based 100% in-person to support close collaboration with the broader BI team and cross-functional stakeholders.

Preferred:

• Experience with workflow orchestration using Prefect and containerization with Docker.
• Knowledge of cloud-based infrastructure within the AWS ecosystem (S3, Lambda, etc.).
• Experience working with large-scale datasets for analytics or machine learning initiatives.
• Experience building automated data quality checks and validation layers within an ETL/ELT lifecycle
• A passion for sports analytics or previous experience within the sports and entertainment industry.

Team & Environment

You will join a lean, fast-moving Business Intelligence team where creativity and speed are essential. We operate in a structured environment, but our tasks are often open-ended and require someone who learns quickly and is creative with technical solutions. We are looking for a self-starter who thrives in an agile setting and is eager to contribute to the continued success of the Florida Panthers.

Position Type/Expected Hours of Work:

This is a full-time salaried (exempt) position. This role is 100% in-person in our Sunrise Florida offices; remote or hybrid work is not available. Must be able to work flexible hours including nights, weekends, and holidays as needed to support game-day operations.

Shift4 is expanding globally and we are seeking a Senior Technical Business Analyst with a Business Intelligence focus to join our Information Technology Group. In this role, you will gather and translate business requirements into actionable insights, ensuring the effective flow of information and data across the organization. You will collaborate with stakeholders to define, validate, and deliver business intelligence (BI) solutions, leveraging strong analytical skills, technical expertise, and communication abilities to support organizational goals. 

This role is onsite and can be based at any of the following Shift4 locations: Tampa, FL / Atlanta, GA / Las Vegas, NV / Center Valley, PA

Responsibilities

• Collaborate with stakeholders to understand and translate business needs into clearly defined, documented requirements for bugs, enhancements, and system developments.
• Create and maintain deliverables including vision/scope documents, requirements, mockups, designs, and flow diagrams.
• Manage stakeholder requests using established SDLC practices to maintain accountability and traceability.
• Conduct User Acceptance Testing (UAT) with stakeholders to validate that deliverables meet requirements and customer needs.
• Provide support in creating and tracking project deliverables and work items in the ticket tracking system.
• Contribute to and enforce the adoption of Business Intelligence solutions across teams.
• Support the development of key metrics and shared goals to measure success.
• Ensure BI governance, data accuracy, and effective communication of insights to cross-functional stakeholders.

Qualifications

• 5+ years of experience in business analysis of data movement and business intelligence reports.
• Advanced experience with requirements elicitation, stakeholder management, and solution documentation.
• Proficiency in BI tools such as Tableau and ETL tools.
• Experience with data sources including AWS Redshift, Postgres, SQL Server, Amazon Athena, Excel, and flat files.
• Strong SQL skills (T-SQL, MySQL, PostgreSQL).
• Experience working with large datasets, Enterprise Data Warehouses, and Dimensional Databases.
• Advanced understanding of SDLC processes and experience with Agile frameworks (KANBAN, Scrum).
• Familiarity with Jira and Confluence is a plus.
• Excellent organizational, communication skills (English) and problem-solving skills with the ability to prioritize multiple tasks and adapt to changing priorities.
• Bachelor’s degree in Computer Science, Information Systems, or related field Experience in lieu of a degree may be considered. 
• Certifications in Agile Scrum or PMP are a plus to have.

#LI-BN1

Shift4 is expanding globally and hiring for a new role of Financial Analyst. This key player will be responsible for supporting the financial health of the organization with a particular focus on developing and maintaining advanced financial models tailored to the payments processing industry. This opportunity involves creating detailed financial reports, developing financial models, and providing strategic recommendations to senior management. The ideal candidate will have a strong background in financial modeling, analysis, and forecasting, specifically within the payments processing sector. 

This role is onsite and can be based at any of the following Shift4 locations:  Center Valley, PA (Preferred) / Tampa, FL / Atlanta, GA

Relocation assistance may be available. 

Responsibilities: 

• Develop and maintain complex financial models to support business decisions, including revenue forecasting, cost analysis, and profitability assessments specific to the payments processing industry.
• Prepare and analyze financial statements, budgets, and forecasts.
• Provide strategic financial insights and recommendations to senior management.
• Conduct variance analysis and identify trends to support business initiatives.
• Assist in the preparation of financial presentations for stakeholders.
• Utilize Tableau, and other BI tools to provide actionable insights.
• Conduct in-depth research and analysis to support financial decision-making.
• Communicate effectively in both oral and written formats, presenting complex financial information clearly.
• Manage competing priorities effectively, ensuring timely completion of tasks and projects.

Qualifications:

• Bachelor’s degree in Finance, Accounting or a related field.
• Minimum of 3-5 years of experience in financial analysis, with a strong emphasis on financial modeling and analysis within the payments processing industry.
• Experience with advanced Excel functions to analyze and present financial information effectively.
• Excellent analytical, problem-solving, and decision-making skills
• Strong written and verbal communication skills in English.
• Ability to work independently and manage multiple projects simultaneously.
• High attention to detail and accuracy
• Experience with BI ( business intelligence ) tools to provide actionable insights a plus.

#LI-BN1

This role is onsite 5 days a week in Tampa, FL

About

As a Logistics Manager Last Mile, you will play a pivotal role in overseeing the efficient, safe and effective operations of a delivery site . You will be responsible for coordinating, managing, and optimizing the processes related to routing, loading, and dispatching drivers to ensure timely and accurate on time delivery to our customers. Your leadership will be crucial in maintaining high standards of operational excellence, team performance, and customer satisfaction.

Key Responsibilities:

Operational Leadership:

• Lead, manage, and motivate a team of 90 delivery drivers, supervisors, and coordinators.
• Create and enforce operational processes and procedures to ensure smooth and consistent delivery operations.
• Monitor and track daily delivery schedules, ensuring that all deliveries are fulfilled within set timeframes.
• Manages Company-owned assets by ensuring all vehicles are accounted for, moved or maintained timely.
• Establishes an ongoing relationship with outside vehicle maintenance vendors to ensure compliance with the regular service checks are performed.

Delivery Logistics:

• Coordinate and prioritize delivery routes to optimize efficiency and minimize delivery times.
• Collaborate with transportation partners, vendors, and suppliers to manage inbound and outbound deliveries.
• Resolve delivery-related issues, such as address discrepancies, missing items, and delivery failures.
• Ensures contractor and employee records are current for proper tracking of operations, accountability, physical and safety training.
• Performs other duties as assigned.

Safety and Compliance:

• Ensure that all safety regulations, guidelines, and protocols are followed by the delivery team.
• Implement and enforce safety training and best practices for handling deliveries, especially for delicate items.

Performance Metrics:

• Manage key operating performance indicators (such as on-time delivery, overtime, loading rates, etc.)
• Manage performance to budget and meet financial goals.

Team Development:

• Management responsibilities include but are not limited to hiring, terminations, coaching, skills development, recognition and rewards, performance evaluation and management, discipline, addressing employee concerns and staff productivity.
• Foster a positive work environment that promotes teamwork, collaboration, and continuous learning.

Communication:

• Lead and inspire our dynamic workforce, fostering engagement, motivation, and collaboration while efficiently coordinating all aspects of the operations.
• Maintain effective communication channels with internal stakeholders, including the Last Mile Leadership team, Customer Service, Supply Chain, and Product teams.
• Communicate changes in delivery schedules, operational updates, and other relevant information to the delivery team and other stakeholders.
• Communicates and discusses contractual changes and issues, including those related to settlement with Delivery Service Providers.

Qualifications

• Bachelor’s degree (or equivalent experience)
• 5+ years of logistics related experience.
• 3+ years of last-mile delivery management experience.
• Regulatory and Compliance Knowledge - DOT regulations, OSHA standards, and labor compliance related to W-2 driver operations.
• Computer proficiency - Excel/Google Sheets, and tools like Power BI or Tableau for operations reporting.
• Strong verbal and written communication skills to coordinate across departments
• Successful experience of managing 50 or more drivers
• Proven ability to develop, implement, and optimize operational processes across last-mile delivery.
• Vendor & contractor management experience
• Clear driving record without major violations.
• Physical capability to lift or push up to 50 lbs as needed

Nice to have:

• Multilingual communication – Chinese/English
• Minimum 1 year of fleet management experience, including vehicle maintenance and compliance. 
• Vendor & contractor management experience.

Compensation Range

• The US base salary range for this full-time position is $82,000-$97,000
• This role may be eligible to discretionary bonus, incentives and benefits 
• Our salary ranges are determined by role, level, and location

The range displayed on each job posting reflects the minimum and maximum base salary for new hires for the position across all US locations. Within the range, individual pay is determined by multiple factors like job-related skills, experience and work locations. Your recruiter can share more about the specific salary range during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include any variable compensation elements.

Weee! is an equal opportunity employer welcoming all qualified applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by law.  Discrimination or harassment of any kind is not tolerated at Weee!. If you need to inquire about an accommodation or need assistance with completing the application, please email us at applicantaccommodation@sayweee.com.

For more jobs and to find out more about Weee!, visit our career page: https://about.sayweee.com/careers

Clearwater positions open to candidates located in greater Tampa Bay area.

As the Snr. Product Manager for Data and Platform Insights, you will champion a "Curate then Democratize" strategy. Initially, you will focus on perfecting our native, curated reporting—ensuring every Admin has immediate, actionable insights to prove ROI. Simultaneously, you will lay the groundwork to democratize this data by defining how our APIs and data pipelines enable sophisticated enterprise customers to extend these insights into their own reporting ecosystems. You are the bridge between complex data engineering and the customer's need for operational clarity.

Responsibilities:

• Own the Insights Roadmap: Define the product strategy for our Reporting, Analytics, and Risk Scoring capabilities. You will balance the immediate delivery of polished, out-of-the-box Executive Reports with the long-term vision of opening up our data architecture for customer self-service.
• Turn Data into Outcomes: Move beyond static tables. Design customer-facing dashboards and visualizations that highlight "Risk Areas" and proactively suggest remediation steps (e.g., "This group needs more training on CEO Fraud") and clearly demonstrate Business Outcomes to the relevant stakeholder.
• Enterprise Extensibility: Define how our platform "hooks" into the broader enterprise ecosystem. While you don't need to be a Tableau wizard, you must understand how data exports and APIs enable customers to ingest our risk score and platform data into their own tools (Splunk, Power BI, etc.) for deeper analysis.
• Master the Customer Data Lifecycle: Work closely with Data Engineering to ensure our customer-facing data pipelines are performant and accurate. You will ensure that the massive scale of data we ingest is transformed into meaningful reports without user-perceived latency.
• Executive Storytelling: Build reporting features specifically designed for the C-Suite and Board of Directors, making it effortless for Admins to demonstrate the ROI of the KnowBe4 platform.
• Customer Intelligence: Conduct deep-dive research with our customers to understand the questions they wish they could answer, identifying gaps that competitors miss.

Qualifications

• 3+ years of Product Management experience, specifically managing data-heavy products, analytics platforms, or B2B SaaS reporting tools.
• BS degree in Computer Science, Data Science, Business, or related technical field preferred.
• Data Ecosystem Fluency: You understand the "hooks" of the data ecosystem. You might not build Power BI dashboards daily, but you understand API structures, data exports, and how enterprise customers consume SaaS data in external BI tools.
• Technical Fluency: Ability to engage in technical trade-off conversations with Data Engineers regarding latency, storage, and query performance.
• Tool Proficiency: Experience with JIRA, Figma, and comfort with Google Workspace.
• Analytical Storytelling: The ability to look at a spreadsheet of raw data and visualize the "Headline" that a user needs to see.
• Extreme Ownership: You thrive in ambiguous environments where you own the outcome of your data accuracy and product success.
• Influence Mastery: Exceptional ability to work with diverse teams (Engineering, QA, Sales) by leading without authority.
• Strategic Problem Solver: You balance solving for existing customers' reporting needs today while designing for the AI-driven data future of 2-5 years from now.

Summary
Overview: Detail-oriented, bilingual (Spanish-English) professional responsible for data management, access control, data alignment, reporting, licensing partner enablement, licensing contract interpretation, and process improvement within Brand Comply (Octane5).

Responsibilities:

• Reconcile licensee sales submissions with Brand Comply reports and resolve data    discrepancies.
  • Interpret licensing contracts; verify contracts and add PPTC data to Brand Comply.
  • Manage user access and onboard new licensing/licensee team members
  • Add and maintain contracts/rights (channels, products, territories) with accurate metadata.
  • Excel-powered data management and reporting; create dashboards (Looker/Tableau-like) and monthly management reports.
  • Host partner training; assist partners with upload issues and ensure smooth data submissions.
  • Drive process improvements and ensure compliance; document processes for internal teams and partners.

Skills & Qualifications

• Bilingual (Spanish and English) spoken communication skills are mandatory.
  • Data verification and rights management
  • Experience with data visualization, reporting, and onboarding/training
  • Understanding of licensing business models or licensing contract interpretation
  • Experience granting user access and managing entitlements
  • Advanced Excel skills (formatting, formulas, PivotTables); familiarity with Looker/Tableau or similar tools
  • Detail-oriented with strong problem-solving, communication skills, openness to learn and leverage AI functionalities

Experience

• 1+ years in licensing operations, licensing software use or related field
  • Familiarity with licensing contracts across multiple product categories, territories, and channels preferred

Performance Metrics
• Accuracy/timeliness of PPTC updates and contract verifications
• Reconciliation accuracy for licensee sales data
• Quality of monthly management reports and dashboards
• Effectiveness of partner training and issue resolution
• Impact of process improvements and system updates

The Market Intelligence Specialist is responsible for gathering, analyzing, and interpreting market, customer, and competitive data to inform the overall growth strategy. The successful candidate will serve as the primary expert on the competitive landscape for AEVEX products, translating complex market data into actionable intelligence. This role is critical in helping the leadership team understand how AEVEX and its competitors products, services and technologies stack up against competition. It will also directly influence "Capture" strategies and "Price-to-Win" (PTW) modeling by identifying market gaps and competitor vulnerabilities to ensure high win rates on government contracts.

Essential Functions

Market Forecasting

• Monitor and report on market shifts, regulatory changes, political influence and macroeconomic factors impacting the business
• Monitor DoD budget cycles to forecast funding for specific Programs of Record.
• Identify technological shifts and future trends and their impact on our market share.
• Translate complex data into clear, actionable insights and recommendations for marketing strategy
• Develop and maintain market intelligence reports, dashboards, and briefings for key stakeholders

Competitive Intelligence

• Analyze competitive landscape, including competitor positioning, pricing, messaging, and product offerings
• Conduct ongoing market research to identify industry trends, customer needs, and emerging opportunities
• Research competitor portfolios, financial health, and strategic pivots by the competition both domestically and internationally.
• Evaluate our products against rival systems, focusing on technical specs, lifecycle costs, and performance.
• Maintain detailed SWOT profiles of the competition for each product line.
• Lead "Black Hat" reviews to simulate competitor responses during the proposal and bidding phases.

Capture & Price to Win

• Develop data-driven Price-to-Win recommendations based on historical award data and competitor cost structures.
• Advise Capture Managers on the "Value Proposition" needed to displace incumbents or defend current programs.
• Partner with product teams to refine value propositions and messaging based on market insights
• Analyze FedBizOpps, GovWin, and other procurement databases to track spending trends and contract award patterns.
• Perform other duties as required.
• Regular and reliable attendance on a full time basis [or in accordance with posted schedule].
• Responsible for exhibiting professional behavior with both internal and external business associates that reflects positively on the company and is consistent with the company's policies and practices.
• Embodies AEVEX’s cultural values and aligns daily actions with department goals and company culture.

Qualifications and Competencies

• Security Clearance -Ability to obtain/maintain a Secret DoD clearance, U.S. Citizenship required.
• Understanding of the PPBE process, Federal Acquisition Regulations (FAR/DFARS), and the defense procurement lifecycle.
• Strong understanding and experience in the UxS, Manned Aviation, Services and Technology sectors.
• Strong analytical skills with the ability to synthesize large data sets into meaningful insights.
• Proficiency in Excel and data visualization tools (e.g., Tableau, Power BI, or similar).
• Excellent written and verbal communication skills.
• Strong ability to work cross-functionally and influence stakeholders.

Education / Certifications

• Bachelor’s degree in Marketing, Business, Economics, Data Analytics, or related field
• Advanced degree (MBA or MS) in a related technical or business field preferred

Experience

• 7+ years of dedicated market intelligence or business development experience preferably within aerospace & defense.
• Experience with research tools and data platforms
• Experience in a marketing or product marketing environment

Physical Requirements

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties the employee is: Frequently required to sit, and to reach to use computers and other office equipment For the purpose of this summary, occasionally is used to represent up to 1/3 of the time given to the work day, frequently represents 1/3 to 2/3 of the time and constantly represents 2/3 or more of the time.

The Director of Workforce Planning reports directly to the CPO and is responsible for leading strategic workforce planning initiatives that align hiring strategies with organizational growth objectives. This role partners closely with executive leadership, talent acquisition, HR business partners, finance, procurement, and operations to forecast workforce needs, develop hiring capacity models, optimize recruiting resource allocation, and ensure proactive talent readiness for both permanent and contingent workforce demands.

Essential Functions:

• Lead enterprise workforce planning cycles, including quarterly and annual workforce forecasting.
• Partner closely with operations, talent acquisition, and finance to translate contractual and client demands into clear staffing, budget, and operational decisions.
• Forecast short- and long-term talent needs based on business growth and contract awards.
• Identify critical skill gaps and partner with HR to create mitigation plans, including reskilling, upskilling, and succession planning.
• Utilize workforce analytics, labor market trends, and predictive modeling to inform staffing strategies.
• Provide actionable insights and dashboards to senior leadership for decision-making.
• Monitor and report on workforce metrics, including headcount, attrition, and capacity planning.
• Ensure workforce planning practices comply with federal regulations, security clearance requirements, and defense industry standards.
• Partner closely with business leaders and talent acquisition to develop contingency plans for workforce disruptions and critical skill shortages.
• Drive adoption of workforce planning tools and systems to enhance forecasting accuracy and efficiency.
• Continuously improve processes to support agile workforce planning in a dynamic defense environment.
• Evolve WFM tools, processes, and planning cadences, driving improvements in forecast accuracy, model quality, and reporting standards
• Build strong cross-functional relationships and act as a trusted partner who brings clarity, insight, and strategic thinking to complex operational problems
• Develop hiring demand forecasts, scenario modeling, and capacity planning frameworks.
• Identify gaps in internal recruiting capacity and recommend solutions including contracting or external agency utilization.
• Lead strategy in selection and governance of external staffing agencies and contract recruiting partners as needed.
• Evaluate agency performance metrics and ensure compliance with contracting requirements.
• Establish preferred vendor frameworks and agency engagement models.
• Support system enhancements and reporting improvements within ATS, HRIS platforms, and other systems as they relate to workforce planning.
• Perform other duties as required.
• Regular and reliable attendance on a full time basis [or in accordance with posted schedule].
• Responsible for exhibiting professional behavior with both internal and external business associates that reflects positively on the company and is consistent with the company's policies and practices.
• Embodies AEVEX’s cultural values and aligns daily actions with department goals and company culture.

Qualifications and Competencies:

• Security Clearance- Ability to obtain/maintain a Secret DoD clearance, U.S. Citizenship required.
• Strong analytical and data visualization skills (Excel, Power BI, Tableau, or similar tools).
• Strong communication skills with ability to present insights to senior leadership.
• Knowledge of ATS platforms (experience with Greenhouse highly preferred).
• Advanced analytics or modeling experience.
• Proven ability to design workforce capacity models and agency utilization strategies
• Advanced proficiency in Excel, workforce analytics tools, and ATS/HRIS reporting systems
• Demonstrated ability to influence senior stakeholders through data-driven insights
• Directs and provides expert knowledge in the strategic function of the department.
• Develops short and long-term people and organizational strategy in alignment with AEVEX goals and direction.
• Leads with impact & influence. Establishes credibility, effectively persuades and develops others, and achieves important objectives collaboratively.
• Identifies, recruits, and retains top-notch talent.
• Champions AEVEX’s culture and empowers employees to take responsibility for their jobs and goals.
• Sets performance standards and encourages employee engagement and results through delegation, continuous feedback, goal setting, and performance management.
• Maintains transparent communication. Appropriately communicates organization information through department meetings, one-on-one meetings, and appropriate email, and regular interpersonal communication.

Education / Certifications:

• Bachelor’s degree in Human Resources, Business, Finance, Analytics, or related field.

Experience:

• 10+ years of experience in Talent Acquisition, Workforce Planning, Recruiting Operations, or HR Analytics.
• Experience building capacity models and hiring forecasts.
• Experience working cross-functionally with HR/TA, Finance, operations, and business leaders.
• Experience in high-growth or large-scale hiring environments.
• Experience in workforce management software or capacity planning tools.
• Demonstrated experience negotiating staffing agency agreements and vendor contracts
• Strong experience partnering with external recruiting agencies and contingent workforce vendors
• Experience supporting both permanent and contingent workforce planning at scale preferred
• Experience working closely with Procurement and Legal on vendor governance preferred

Physical Requirements:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties the employee is: Physical Requirements Constantly required to sit, and to reach to use computers and other office equipment Note: For the purpose of this summary, occasionally is used to represent up to 1/3 of the time given to the work day, frequently represents 1/3 to 2/3 of the time and constantly represents 2/3 or more of the time.

Job Overview

The Program Data Science Analyst will play a critical role in supporting program and project planning, execution, and monitoring activities across various initiatives. This role blends deep data science expertise with program analysis, enabling the organization to extract insights from large-scale, heterogeneous data sources, automate analytical workflows, and support mission-critical decision-making. The ideal candidate is a hands-on technical expert who can independently develop models, pipelines, analytical tools, and dashboards that simplify understanding and aid decision making while also collaborating with and providing their own analysis and insights to cross-functional teams, senior leaders, and external partners to aid with program planning, execution, and ultimately delivery of project objectives.

Essential Functions

• Develop scalable algorithms for large-scale data, applying data mining, clustering, statistical modeling, graph analytics, and visualization techniques to solve analytical problems with incomplete data sets.
• Conduct exploratory data analysis, identify patterns, and generate actionable insights from structured, semi-structured, and unstructured data.
• Develop visualizations and dashboards to communicate findings to technical and non-technical stakeholders.
• Build tools and automation to streamline data ingestion, transformation, and analysis.
• Design and optimize analytic pipelines, graph traversal queries, and data processing workflows to ensure reliable performance across all environments.
• Develop scripts and pipelines to process large data streams and support real-time or near-real-time analytics.
• Design, develop, test, and document data science microservices and analytical applications
• Conduct data analysis to support project performance tracking and decision-making processes using key metrics and reporting tools
• Collaborate with program managers to gather, validate and analyze data to ensure data accuracy and usability.
• Prepare and maintain project documentation, including charters, plans, timelines, status reports, reporting dashboards, and deliverables.
• Collaborate with program managers and team members to identify challenges and risks, provide analysis and management recommendations.
• Develop and analyze key performance indicators (KPIs) to monitor project health and success.
• Assist in budget tracking, cost analysis, and resource allocation planning to help ensure projects remain within financial parameters.
• Maintain and update project management tools and systems
• Generate detailed project reports, dashboards, and presentations for stakeholders.
• Research best practices, recommend process improvements, and support the development of processes and tools to enhance project efficiency.
• Facilitate and participate in post-project evaluations and recommend improvements for future initiatives.
• Ensure that all project documentation is stored and organized according to PMO standards
• Perform additional duties as required to support the success of project initiatives.

Standard Essential Functions

• Regular and reliable attendance on a full time basis [or in accordance with posted schedule].
• Responsible for exhibiting professional behavior with both internal and external business associates that reflects positively on the company and is consistent with the company's policies and practices.
• Embodies AEVEX’s cultural values and aligns daily actions with department goals and company culture.

Qualifications and Competencies

• Proficient in Microsoft Excel (e.g., dynamic arrays, Power Query, PowerPivot) and project management tools (e.g., MS Project, Jira), as well as the Microsoft Office Suite (Word, Excel, PowerPoint)
• Strong analytical and problem-solving skills with a focus on interpreting data and providing actionable insights.
• Proficiency in Python; experience with C++, Java, or R is beneficial
• Familiarity with AI/ML tools supporting logistics or operational use cases.
• Ability to quickly learn new tools and technologies.
• Effective verbal and written communication, alongside strong interpersonal and collaboration skills.
• Detail-oriented with a commitment to accuracy, data integrity, and confidentiality
• Ability to manage multiple tasks and priorities effectively in a fast-paced environment.
• Self-starter with strong problem-solving skills; able to work independently with minimal oversight.
• Collaborative team player with strong interpersonal skills.
• Excellent organizational and time management skills in fast-paced environments.

Education / Certifications

• Bachelor’s degree in business administration, data analytics, or a related field.
• Master’s degree in quantitative discipline (Statistics, Data Science, Data Analytics, Computer Science, Engineering, etc.) preferred.
  • Additional applicable experience may be substituted for formal education.
• Certifications in project management (e.g., PMP, CAPM) or data analysis (e.g., Tableau, Power BI) are a plus.

Experience

• 5+ years of experience using data science, machine learning, or advanced analytics
• 2+ or more years of experience in project analysis, data analysis, or project management (preferred).
• Experience in data management, reporting, or process improvement roles is preferred. • Experience with BI tools (Tableau, PowerBI, Qlik).
• Experience with Continuous Integration/deployment (CI/CD) tools (Git, Jenkins, Docker).
• Experience with graph analytics and graph traversal languages (Gremlin, Cypher, GraphML).
• Experience communicating analytical findings through visualizations and presentations.
• Experience with data orchestration tools (Airflow) and data engineering platforms (Databricks, ElasticSearch, Apache NiFi, StreamSets).
• Experience working with structured, unstructured, or semi-structured data and conducting analysis
• Strong experience with SQL and relational databases.

Physical Requirements

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties the employee is:

• Frequently required to sit, and to reach to use computers and other office equipment

For the purpose of this summary, occasionally is used to represent up to 1/3 of the time given to the work day, frequently represents 1/3 to 2/3 of the time and constantly represents 2/3 or more of the time.

Security Clearance

• Ability to obtain/maintain Secret DoD clearance minimum, U.S Citizenship required.
• Eligibly to obtain/maintain Top Secret/SCI preferred.

Disclaimer:

AEVEX Aerospace is an Equal Opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, religious creed, color, sex (including pregnancy, breast feeding and related medical conditions), gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship status, military and veteran status, marital status, age, protected medical condition, genetic information, physical disability, mental disability, or any other protected status in accordance with all applicable federal, state and local laws.

Product Marketing Lead
Growth Marketing

Location: Miami, Toronto

About Opendoor

Opendoor’s mission is to tilt the world in favor of homeowners and those working hard to become homeowners, by making homeownership simpler, faster, and fairer for everyone. Since 2014, Opendoor has provided people across the U.S. with a simple and certain way to buy and sell a home. We believe buying or selling a home should be simple, certain, and transparent — and we’re rebuilding the experience from the ground up. Our brand and product are two sides of the same promise: giving people confidence and control in one of life’s biggest moments.

The Role

Opendoor is seeking a strategic, data-driven Product Marketing professional to own go-to-market strategy, positioning, and competitive intelligence for our real estate technology products and consumer experiences. You’ll be the source of truth for all PMM assets, partnering closely with Product, Brand, Sales and Customer Success to drive revenue, adoption, and market leadership. You’ll lead an AI-assisted approach to market and competitive insights, translating them into actionable messaging, enablement, and launch plans that align with Opendoor’s mission: power life’s progress, one move at a time.

What you’ll do

• Go-To-Market Strategy and Execution

  • Own end-to-end GTM planning for new products and major releases (e.g., app improvements, mortgage/financing features, valuation tools, title/escrow enhancements), including objectives, ICPs, positioning, pricing/packaging, launch sequencing, channels, and success metrics.

  • Develop scalable launch playbooks, asset requirements, timelines, risk management, and post-launch optimization.

  • Ensure GTM plans are aligned with Opendoor’s objectives and coordinated across Product, Growth, Sales, and CS.

• Positioning, Messaging, and Value Propositions

  • Define differentiated positioning and compelling messaging that resonates with homeowners, buyers, sellers, and investors, delivering clear business outcomes.

  • Create core content (value propositions, messaging frameworks, one-pagers, battle cards) and enablement assets for sales, partners, and the broader go-to-market ecosystem.

  • Maintain a consistent brand voice and market-facing narratives across channels and regions.

• Competitive Intelligence (AI-Assisted)

  • Build and lead an AI-assisted competitive intelligence program that continuously monitors proptech and consumer marketplace landscapes.

  • Deliver regular analyses, feature comparisons, pricing benchmarks, and market signals; translate into actionable guidance for Product, Sales, and Marketing.

  • Create and maintain battle cards, win/loss analyses, and intelligence briefings; validate AI-driven insights with human judgment.

• Product Marketing as Source of Truth

  • Maintain the single source of truth for PMM assets: positioning matrices, personas, messaging frameworks, playbooks, and enablement content.

  • Govern PMM assets with version control, clear ownership, and up-to-date documentation in wikis, dashboards, and content repositories.

  • Establish PMM standards and processes to ensure scalable, repeatable execution at Opendoor’s scale.

• Cross-Functional Collaboration

  • Partner with Product Management to translate roadmaps and customer needs into compelling market offerings.

  • Collaborate with Sales to drive pipeline: enablement training, tools, and assets to improve win rates and shorten sales cycles.

  • Work with Growth and Demand Gen to map campaigns to GTM plans, measure impact, and optimize funnel performance.

  • Coordinate with Analytics to define and track success metrics (pipeline influence, win rate, time-to-revenue, feature adoption).

• Enablement, Messaging, and Content

  • Develop ongoing enablement programs, training sessions, and updates to keep front-line teams informed and effective.

  • Produce and curate content assets (launch briefs, case studies, white papers, product briefs, FAQs) aligned to buyer journeys.

• Market Insights and Voice of the Customer

  • Lead market research to identify trends, unmet needs, and growth opportunities in the real estate tech and consumer marketplace space.

  • Capture customer insights and success stories to refine positioning and messaging; feed insights into product prioritization and roadmap where appropriate.

• Budget, Leadership, and Process Improvement

  • Own the PMM budget; manage vendors, contractors, and internal resources.

  • Mentor and develop PMM team members; drive process improvements to shorten cycles and increase impact.

What success looks like

• Clear, differentiated GTM plans that drive revenue and align with product roadmaps.

• Consistent, compelling messaging and collateral that improve win rates and accelerate time-to-revenue.

• A credible, AI-augmented competitive intelligence program that informs product and marketing decisions.

• A trusted source of truth for all PMM assets, with measurable improvements in pipeline influence, win rate, and product adoption.

• Scalable playbooks and enablement that enable fast, cross-functional execution as Opendoor grows.

Qualifications

• 8+ years of product marketing or related experience in B2B technology, SaaS, or relevant real estate tech domains; people leadership experience preferred.

• Proven track record launching successful GTM programs and driving revenue growth through strong positioning and cross-functional collaboration.

• Demonstrated ability to build and maintain a robust competitive intelligence program, including AI-assisted research methods and tools.

• Exceptional written and verbal communication; ability to translate complex product features into clear customer value propositions.

• Strong cross-functional influencing skills; comfortable operating in a fast-paced, ambiguous environment.

• Data-driven mindset; experience with CRM/Marketing Automation (e.g., Salesforce, HubSpot), analytics (Looker, Tableau), and AI-enabled research tools.

• Experience creating scalable playbooks, enablement content, and governance around PMM assets.

• Preferred: experience in consumer marketplaces, proptech, or real estate tech with complex product ecosystems.

• Experience with AI-enabled content generation and governance/compliance considerations.

• Familiarity with multi-region go-to-market programs across verticals.

• Knowledge of pricing strategy and packaging in consumer-facing or enterprise contexts.

Product Marketing Lead
Growth Marketing

Location: Miami, Toronto

About Opendoor

Opendoor’s mission is to tilt the world in favor of homeowners and those working hard to become homeowners, by making homeownership simpler, faster, and fairer for everyone. Since 2014, Opendoor has provided people across the U.S. with a simple and certain way to buy and sell a home. We believe buying or selling a home should be simple, certain, and transparent — and we’re rebuilding the experience from the ground up. Our brand and product are two sides of the same promise: giving people confidence and control in one of life’s biggest moments.

The Role

Opendoor is seeking a strategic, data-driven Product Marketing professional to own go-to-market strategy, positioning, and competitive intelligence for our real estate technology products and consumer experiences. You’ll be the source of truth for all PMM assets, partnering closely with Product, Brand, Sales and Customer Success to drive revenue, adoption, and market leadership. You’ll lead an AI-assisted approach to market and competitive insights, translating them into actionable messaging, enablement, and launch plans that align with Opendoor’s mission: power life’s progress, one move at a time.

What you’ll do

• Go-To-Market Strategy and Execution

  • Own end-to-end GTM planning for new products and major releases (e.g., app improvements, mortgage/financing features, valuation tools, title/escrow enhancements), including objectives, ICPs, positioning, pricing/packaging, launch sequencing, channels, and success metrics.

  • Develop scalable launch playbooks, asset requirements, timelines, risk management, and post-launch optimization.

  • Ensure GTM plans are aligned with Opendoor’s objectives and coordinated across Product, Growth, Sales, and CS.

• Positioning, Messaging, and Value Propositions

  • Define differentiated positioning and compelling messaging that resonates with homeowners, buyers, sellers, and investors, delivering clear business outcomes.

  • Create core content (value propositions, messaging frameworks, one-pagers, battle cards) and enablement assets for sales, partners, and the broader go-to-market ecosystem.

  • Maintain a consistent brand voice and market-facing narratives across channels and regions.

• Competitive Intelligence (AI-Assisted)

  • Build and lead an AI-assisted competitive intelligence program that continuously monitors proptech and consumer marketplace landscapes.

  • Deliver regular analyses, feature comparisons, pricing benchmarks, and market signals; translate into actionable guidance for Product, Sales, and Marketing.

  • Create and maintain battle cards, win/loss analyses, and intelligence briefings; validate AI-driven insights with human judgment.

• Product Marketing as Source of Truth

  • Maintain the single source of truth for PMM assets: positioning matrices, personas, messaging frameworks, playbooks, and enablement content.

  • Govern PMM assets with version control, clear ownership, and up-to-date documentation in wikis, dashboards, and content repositories.

  • Establish PMM standards and processes to ensure scalable, repeatable execution at Opendoor’s scale.

• Cross-Functional Collaboration

  • Partner with Product Management to translate roadmaps and customer needs into compelling market offerings.

  • Collaborate with Sales to drive pipeline: enablement training, tools, and assets to improve win rates and shorten sales cycles.

  • Work with Growth and Demand Gen to map campaigns to GTM plans, measure impact, and optimize funnel performance.

  • Coordinate with Analytics to define and track success metrics (pipeline influence, win rate, time-to-revenue, feature adoption).

• Enablement, Messaging, and Content

  • Develop ongoing enablement programs, training sessions, and updates to keep front-line teams informed and effective.

  • Produce and curate content assets (launch briefs, case studies, white papers, product briefs, FAQs) aligned to buyer journeys.

• Market Insights and Voice of the Customer

  • Lead market research to identify trends, unmet needs, and growth opportunities in the real estate tech and consumer marketplace space.

  • Capture customer insights and success stories to refine positioning and messaging; feed insights into product prioritization and roadmap where appropriate.

• Budget, Leadership, and Process Improvement

  • Own the PMM budget; manage vendors, contractors, and internal resources.

  • Mentor and develop PMM team members; drive process improvements to shorten cycles and increase impact.

What success looks like

• Clear, differentiated GTM plans that drive revenue and align with product roadmaps.

• Consistent, compelling messaging and collateral that improve win rates and accelerate time-to-revenue.

• A credible, AI-augmented competitive intelligence program that informs product and marketing decisions.

• A trusted source of truth for all PMM assets, with measurable improvements in pipeline influence, win rate, and product adoption.

• Scalable playbooks and enablement that enable fast, cross-functional execution as Opendoor grows.

Qualifications

• 8+ years of product marketing or related experience in B2B technology, SaaS, or relevant real estate tech domains; people leadership experience preferred.

• Proven track record launching successful GTM programs and driving revenue growth through strong positioning and cross-functional collaboration.

• Demonstrated ability to build and maintain a robust competitive intelligence program, including AI-assisted research methods and tools.

• Exceptional written and verbal communication; ability to translate complex product features into clear customer value propositions.

• Strong cross-functional influencing skills; comfortable operating in a fast-paced, ambiguous environment.

• Data-driven mindset; experience with CRM/Marketing Automation (e.g., Salesforce, HubSpot), analytics (Looker, Tableau), and AI-enabled research tools.

• Experience creating scalable playbooks, enablement content, and governance around PMM assets.

• Preferred: experience in consumer marketplaces, proptech, or real estate tech with complex product ecosystems.

• Experience with AI-enabled content generation and governance/compliance considerations.

• Familiarity with multi-region go-to-market programs across verticals.

• Knowledge of pricing strategy and packaging in consumer-facing or enterprise contexts.

What You’ll Be Owning:

We are seeking a senior-level Data Scientist to design, develop, and deploy advanced data-driven applications in support of mission-critical environments. The ideal candidate operates independently with minimal oversight, delivers production-grade solutions, and understands how to translate operational requirements into scalable, secure solutions.

This role blends full-stack Python development, geospatial analytics, dashboarding, DevSecOps practices, and familiarity with Intelligence Community (IC) and DoD environments.

What You Must Have:

• Active TS/SCI Clearance is required with the ability to obtain a CI Poly. 10+ years of relevant experience. (A combination of years of experience & professional certifications & education can be used in lieu of years of experience)
• Expert-level proficiency in Python and demonstrated experience building scalable, production-ready applications.
• Experience querying and integrating web APIs to retrieve, normalize, and operationalize data.
• Proficiency with at least one Python web framework (Flask, FastAPI, Django, or similar).
• Experience developing interactive data visualizations using Plotly, Seaborn, Matplotlib, Bokeh, or comparable tools.
• Experience building dashboards and analytic interfaces using Dash, Streamlit, Panel, Tableau, or similar platforms.
• Ability to develop basic web interfaces using HTML, CSS, and JavaScript.
• Strong SQL skills and experience querying relational databases.
• Experience using Git-based version control platforms such as GitLab or GitHub.
• Familiarity with containerization technologies (e.g., Docker) and deploying containerized applications.
• Working knowledge of DevSecOps principles and secure software development practices.
• Proficiency with geospatial processing frameworks such as GDAL or ArcPy.
• Proficiency with GIS desktop software such as ArcGIS Pro or QGIS.
• Ability to write clear, concise technical documentation related to software systems and automated workflows.
• Ability to operate independently at a senior level with limited oversight.
• Familiarity with Activity Based Intelligence (ABI), All-Source, or Multi-INT analysis environments.
• Familiarity with USSOCOM and broader U.S. military organizational structures.
• Familiarity with common Intelligence Community (IC) data repositories.

#LI-GM1

What You'll Be Owning:

We are seeking a highly skilled Senior Data Scientist to support mission-critical intelligence operations. The ideal candidate brings deep analytic expertise, advanced data science capabilities, and demonstrated experience supporting national security objectives across GEOINT, multi-INT, and enterprise-level analytic environments. This position requires the ability to innovate, modernize analytical tradecraft, and drive the integration of advanced methodologies into customer mission sets.

What You Must Have: 

• Active TS/SCI Clearance is required with the ability to obtain a CI Poly 10+ years of relevant experience. (A combination of years of experience & professional certifications/trainings can be used in lieu of years of experience)
• Expertise in advanced analytic methodologies and proven ability to implement them to increase customer satisfaction and mission effectiveness.
• Proven Intelligence Community experience working with integrated teams and applying documented analytic methodologies to answer complex intelligence questions.
• Experience in data mining, database manipulation, and maintaining structured analytic datasets.
• Demonstrated proficiency using analytic tools to modernize workflows and enhance analytic rigor.
• Experience with Python/R scientific computing libraries (NumPy, Pandas, etc.)
• Experience applying machine learning or statistical modeling techniques (e.g., regression, clustering, classification, time-series analysis) to mission datasets.
• Proficiency in data preprocessing, feature engineering, and preparing structured/unstructured datasets for advanced analysis.
• Ability to evaluate model performance, conduct error analysis, and effectively communicate model results to both technical and non-technical audiences.
• Experience operationalizing analytic models into repeatable pipelines supporting intelligence production at scale.
• Understanding of modern data science best practices, including model governance, reproducibility, transparency, and lifecycle management.
• GEOINT / Multi-INT Core Tradecraft Support GEOINT analysis using imagery, spatio-temporal datasets, and multi-source intelligence to uncover relationships, trends, and mission-relevant events.
• Conduct multi-INT research to augment imagery analysis and provide mission-specific context.
• Demonstrated ability to lead technical and analytical teams in solving complex intelligence problems.
• Experience developing new geospatial tradecraft, methods, and technologies from an operations research perspective.
• Ability to identify system enhancements, capability gaps, new technologies, and business case opportunities that strengthen mission delivery.

What Would Be Nice to Have:

• Experience building and maintaining GEOINT, SIGINT, or OSINT datasets aligned to mission requirements.
• Ability to design and deliver briefings, demonstrations, and training events for users at all skill levels across mission applications.
• Experience supporting DoD and IC report production, briefings, and formal analytic publications.
• Ability to extract, model, and visualize multi-INT datasets for both descriptive and predictive analysis.
• Hands-on experience working with FADE tools (MIST, INTELBOOK, LINX, WATCH BOX) to discover and refine analytical insights.
• Proficiency with statistical and visualization tools (e.g., Tableau, MATLAB, Brewlytics, JEMA, MapLarge) for advanced statistical analysis and visualization of large datasets.
• Knowledge of Structured Observation Management tools and/or Object-Based Production methodologies.
• Experience in applying deep learning or computer vision techniques (e.g., CNNs, segmentation, object detection) to GEOINT or multi-INT datasets.
• Familiarity with distributed analytics frameworks such as Spark, Dask, or Ray. Experience building analytic dashboards or applications using frameworks.
• Experience with API-driven ingestion, ETL pipelines, or microservice-based analytic architectures.
• An understanding of Transnational Criminal Organizations (TCOs) operating within the USSOUTHCOM AOR
• An understanding of coca cultivation and production areas Familiarity with Intelligence Community Directive (ICD) 203 (Analytic Standards) and ICD 206
• An understanding of how to operationalize the analytic output—shape/frame it in a way that supports operational planning

#LI-GM1

Compass is seeking a highly motivated and detail-oriented Director of Research to join our team in South Florida. The role is critical in providing data-driven insights to support strategic decision-making for our owner/developer clients, leadership, and project management teams. The ideal candidate possesses a deep knowledge of the South Florida Market, strong analytical skills, a passion for real estate, and the ability to manage an Analyst - helping to transform raw data from a variety of sources into actionable research for our stakeholders. 

Job Responsibilities:

• Establishing a Strong Point of View
• Possess a deep understanding of real estate submarkets in Miami Dade, Broward, and Palm Beach Counties
• Data Collection and Analysis:
• Gather and analyze data from various public and private sources, including listing feeds, Department of Buildings, Department of Finance, industry publications, other internal data sets, and phone calls to competitive buildings.
• Oversee Analyst, who will assist in maintaining databases for efficient data management for our external facing deliverables and internal CRM processes. 
• Ensure data accuracy and integrity through both manual and automated quality control procedures. 
• Market Research and Competitive Analysis
• Conduct comprehensive market research to identify industry trends, categorize the competitive landscape, and highlight potential opportunities. 
• Analyze competitor strategies, market share, and product offerings to provide insights. 
• Prepare reports and presentations based on these research findings and recommendations. Deliverables will include: Market Reports for Sales and Leasing Comparable Sets, Future Supply (Pipeline Reports), Amenity Studies, Due Diligence Reports, and ad hoc reporting as needed. 
• Reporting and Visualization:
• Create, maintain, and review concise market reports, dashboards, and other deliverables to communicate research findings to stakeholders.
• Develop and maintain key performance indicators (KPI’s) to keep track of market trends and performance. 
• Present research findings to internal teams and senior management. 

Qualifications:

• At least 5 years’ experience in research/analysis in the South Florida market
• Bachelor’s degree in relevant field (Real Estate, Finance, Political Science, Computer Science, Statistics, etc.)
• Proficient technological knowledge of the Microsoft Suite (heavy emphasis on Excel), Google Sheets, Data Transformation, ETL Processes
• Ability to think critically and outside the box to solve problems in a fast-paced environment. 
• Strong written and verbal communication skills. 
• Ability to communicate and present to internal teams and clients on the findings of our research report process, and the feasibility of achieving team or client goals in relation to the competitive market. 

Additional Skills (Nice to Have):

• Advanced Excel experience including Power Query, and DAX.
• Working knowledge of other programming languages (SQL, Python, etc.). 
• Working knowledge of visualization tools (PowerBI, Tableau). 
• Experience with CRM tools (Salesforce, Spark, etc.)

About the Role

You own our marketing technology stack — lifecycle infrastructure that powers email and SMS programs, and tracking systems that keep paid media attribution honest.

You'll design and maintain the systems that let a lean, AI-powered marketing team move fast and measure accurately. That means Iterable journeys and CDP audiences that run lifecycle programs on autopilot, a conversion tracking layer that stays clean across every ad platform, and automation that eliminates manual work from campaign launches to performance monitoring. You'll also drive cross-functional initiatives with Engineering, Product, and Growth Science to get critical tracking and infrastructure work prioritized. Senior IC role, no direct reports.

What You'll Do

1. Lifecycle Platform & Campaign Infrastructure

• Own Iterable end-to-end: configuration, journey architecture, lifecycle triggers, and audience management for welcome, nurture, and re-engagement programs.
• Manage our CDP (Segment Personas): define audience segments, maintain governance and naming conventions, and work with Engineering to ensure data flows to Iterable cleanly.
• Build AI-powered email and SMS template systems — modular, dynamic, and populated by AI at scale — so our lifecycle team can ship programs without relying on agencies or one-off builds.
• Train the team on platform capabilities and self-serve campaign creation so the lifecycle lead can focus on strategy, not production.

2. Conversion Tracking & Attribution

• Own Google Tag Manager and our Segment event taxonomy. Partner with Engineering on event tracking implementation, maintain event taxonomy documentation, and troubleshoot conversion data gaps across ad platforms.
• Partner with Engineering to implement and verify CAPI, enhanced conversions, and server-side tracking setups. You drive requirements, validate implementation, and own ongoing QA — Engineering builds it.
• Escalate and drive Engineering/Product prioritization when tracking infrastructure needs investment.

3. Automation, Tooling & Experimentation

• Build automated budget pacing alerts, performance anomaly detection, and campaign QA workflows (broken links, UTM validation, tracking checks) for both paid and lifecycle programs.
• Use Claude, Python, Gumloop and AI tools to build self-serve workflows that eliminate manual operational work across the team. Train team members on AI tools for content generation, analysis, and self-serve campaign creation.
• Partner with Growth Science on budget allocation analysis, channel decisions, measurement planning, and incrementality testing.

What You'll Need

Technical Skills:

• Expert in Iterable, Braze, or comparable ESP at enterprise scale (millions of sends)
• Strong HTML/CSS for responsive email templates; comfortable reading JavaScript
• Experienced with CDP platforms (Segment Personas or similar)
• Working knowledge of GTM, CAPI, enhanced conversions, and server-side tracking
• Proficient with Python scripting and no-code automation tools (Gumloop, Make, Zapier)
• Expert with AI tools (Claude, Cursor) for generating code, templates, and analysis
• Proficient in SQL for campaign analysis and troubleshooting

Experience:

• 5–7+ years in marketing operations, with primary depth in lifecycle/email platform ownership at scale
• Track record building infrastructure — not running campaigns — that measurably increases team velocity
• Proven ability to drive data infrastructure through Engineering and Product without direct authority
• Comfortable spanning acquisition and lifecycle — you understand how performance marketing and lifecycle programs interact

Mindset:

• Infrastructure builder: you design systems that eliminate entire categories of manual work
• AI-native: you use AI tools daily — for coding, content, analysis, and problem-solving
• High-agency IC: you architect solutions, prototype independently, and build them yourself

Bonus Points

• High-consideration, high-value transactional businesses (real estate, automotive, financial services)
• Amplitude or Optimizely experimentation platform experience
• Figma for prototyping templates
• Analytics engineering or data visualization (Looker, Mode, Tableau)
• Segment CDP, mobile push, or in-app messaging experience

Compensation

Our compensation plan consists of a base salary, Opendoor equity and a comprehensive package of benefits including paid time off, paid holidays, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.  All compensation parameters are based on experience.

Position Title: Instructional Assistant, Data Engineering

Department: National Training Team / Remote Training

Reports To: Manager, Remote Training

Employment Type: Contract

Location: Tampa, FL 

WHO WE ARE

Per Scholas Inc. is a national nonprofit advancing economic mobility for 30 years. Through rigorous technical training, professional development, and strong employer partnerships, we prepare individuals traditionally underrepresented in tech for high-growth careers. With campuses in 17 cities and over 15,000 graduates, we’re building a more diverse and inclusive tech workforce by connecting talent to opportunity.

WHAT YOU WILL DO

As an Instructional Assistant (IA), you are the critical bridge between the Lead Instructor and the learners. You will support the delivery of a rigorous Data Engineering curriculum while ensuring student success through tutoring, grading, and classroom management.

Instructional Support & Tutoring

• Lab Facilitation: actively circulate (virtually or physically) during hands-on labs to help learners troubleshoot code in Python, SQL, and Linux environments.
• Targeted Tutoring: Lead instructor-approved study groups and provide one-on-one tutoring for learners struggling with specific concepts (e.g., ETL pipelines, DataFrames).
• Substitute Teaching: Be prepared to step in and lead a lesson, review session, or proctor an exam in the event of a short-term instructor absence.
• AI Integration: Model the use of Google Gemini to help students debug their own code, ensuring they understand the logic rather than just copying answers.

Learner Management & Administration

• Progress Tracking: Implement individualized study plans for at-risk learners and collaborate with the detailed learner progress reviews.
• Administrative Duties: Take and track daily attendance and enter real-time grades in Salesforce and Canvas.
• Platform Management: Assist in setting up HackerRank assessments and tracking completion of Coursera modules (Google Data Analytics Certificate).
• Classroom Decorum: Enforce and model professional standards, including dress code, punctuality, and respectful communication.
• Equipment: Ensure any classroom or borrowed equipment is used properly and returned/stored (if applicable).

WHAT YOU’LL BRING TO US

Education & Experience (Must meet one of the following)

• Bachelor’s Degree in Computer Science, Data Science, or a related field.
• OR Graduate of a rigorous Technical Bootcamp (Per Scholas alumni preferred).
• OR Equivalent Industry Experience in Data Engineering, Data Analytics, or Software Development.

Technical Must-Haves

• Python Proficiency: Strong functional knowledge of Python. You must be able to troubleshoot logic errors in Pandas, NumPy, and basic scripts.
• SQL Mastery: Ability to write and explain intermediate queries (Joins, Aggregations, Subqueries) and troubleshoot database connection issues.
• Linux Fundamentals: Comfortable with CLI navigation, file management, and basic permissions.
• AI Adaptability: Proficiency in using Google Gemini (or ChatGPT) as a teaching aid and productivity tool.

Technical Good-to-Haves

• Cloud Exposure: Familiarity with AWS services (S3, RDS) or the AWS Cloud Practitioner certification.
• Visualization: Experience creating dashboards in Tableau or PowerBI.
• Big Data: Conceptual understanding of Apache Spark or Hadoop ecosystems.

TECHNICAL ENVIRONMENT

You will need to support learners on the following platforms and tools:

• Coding: VS Code, Jupyter Notebooks, Google Colab.
• LMS & CRM: Canvas, Salesforce.
• Assessment: HackerRank, Coursera.
• Communication: Zoom, Slack.

PERSONAL CHARACTERISTICS

• Agile: You thrive in a fast-paced environment and can adapt quickly to changes in the schedule or curriculum.
• Proactive: You anticipate student struggles and intervene early before they fall behind.
• Collaborative: You work seamlessly with the Lead Instructor, acting as a unified teaching team.

Mission-Driven: You are passionate about creating access to high-growth tech careers for diverse communities.

The hourly rate for this position is $20/hour 

#LI-Onsite

COMPANY OVERVIEW

ThreatLocker® is a leader in endpoint protection technologies, providing enterprise-level cybersecurity tools to improve the security of servers and endpoints. The ThreatLocker® platform with Application Allowlisting, Ringfencing™, Storage Control, Elevation Control, Endpoint Network Control, Configuration Management, and Operational Alert solutions are leading the cybersecurity market toward a more secure approach of blocking the exploits of application vulnerabilities.

POSITION OVERVIEW

ThreatLocker is seeking a highly analytical and proactive Data Analyst to transform agent telemetry and platform data into actionable intelligence. This role will focus on analyzing ThreatLocker agent logs, identifying trends and anomalies, detecting potential issues before customers report them, and delivering insights to both the Development and Solutions Engineering teams.

This is not a passive reporting role. We are looking for someone who actively uncovers patterns, predicts problems, and influences product and customer outcomes through data.

The role will be based in Orlando, FL and is an in-office position.

JOB SCOPE: 

Data Analysis & Reporting

• Run recurring and ad-hoc reports on ThreatLocker agent performance, telemetry, and system data.
• Analyze large datasets from agent logs to identify patterns, anomalies, and emerging trends.
• Develop dashboards and reporting frameworks that provide visibility into product health and usage trends.
• Automate data extraction and reporting processes where possible.

Proactive Issue Detection

• Identify potential product issues before they are reported by customers.
• Detect abnormal behavior patterns across environments, versions, or configurations.
• Monitor adoption, performance, and stability trends across the ThreatLocker ecosystem.
• Escalate critical findings with clear, data-backed summaries.

Development Team Support

• Provide actionable insights to the Dev team on:

• Performance degradation trends
• Agent-related anomalies
• Feature usage data
• Environment-specific issues

• Work closely with Engineering to validate hypotheses and investigate root causes.
• Assist in defining KPIs for product stability and performance.

Solutions Engineering (SE) Support

• Analyze customer usage patterns and identify optimization opportunities.
• Recommend configuration or deployment changes that can improve customer outcomes.
• Provide data-driven guidance to help SE teams support enterprise clients.
• Create insights that enable proactive outreach to at-risk or under-optimized customers.

Trend & Insight Communication

• Present findings clearly to technical stakeholders.
• Produce concise executive-level summaries when needed.
• Translate raw telemetry data into business-impact insights.

REQUIRED QUALIFICATIONS 

• 2 – 5 years of experience in a Data Analyst or similar analytical role.
• Strong SQL skills (preferred).
• Experience working with large datasets and log-based data.
• Proficiency in data visualization tools (Power BI, Tableau, Looker, or similar).
• Strong Excel skills.
• Experience working with structured and semi-structured data (JSON, log files, etc.).
• Ability to identify patterns and anomalies in complex systems.
• Strong analytical and problem-solving skills.
• Excellent communication skills with the ability to explain technical findings clearly. 

Preferred Qualifications 

• Experience in cybersecurity, endpoint security, SaaS, or IT systems.
• Familiarity with telemetry analysis or agent-based platforms.
• Experience with Python, R, or similar tools for data analysis.
• Experience building automated alerting or anomaly detection models.
• Understanding of both the product and product analytics and customer health metrics.

WORKING CONDITIONS: 

The duties described below are representative of those encountered while performing the essential functions of this position. If necessary, reasonable accommodation may be requested and will be evaluated for its relationship to the essential functions that must be performed. 

• Job will generally be performed in an office environment but may require travel to visit company offices and/or property locations.
• While performing duties of this job, would occasionally require to stand, walk, sit, reach with hands and arms, climb or balance, stoop or kneel, talk and hear, and use fingers and hands to feel objects and tools.
• Must occasionally lift and/or move up to 25 pounds.
• Specific vision abilities required include close vision, distance vision, depth perceptions, and the ability to adjust focus. 

WHAT WE DO

Our Data and Analytics consultants work with clients at all levels of the organization, from the C-suite to the shop floor, helping them to deliver on their most strategic initiatives. We’re known for making realistic, data-driven decisions that deliver value in tangible ways to our clients. Our clients ask for us on projects that require a superior combination of technical and business capabilities, people and management skills, and a collaborative mindset. We excel in understanding complex programs and strategic initiatives and breaking them into actionable pieces.

We are actively looking for professionals in the following areas:

• Data Strategy
• Data Governance
• Data Modernization
• Advanced Analytics
• Data Visualization

The ideal candidate’s experience may include but is not limited to the following:

• Have experience understanding and solving real business problems
• Have experience with presenting business case and strategy to the C-Suite
• Bring industry domain knowledge for custom data and analytics strategies
• Experience in designing and implementing data driven products and services
• Experience in designing and building high performance collaborative business and technology teams that deliver high value data solutions, data products and data analytics

Ideal candidates may call themselves Data Architects, Data Engineers, Data Scientists, Analysts and Data Governance professionals. Experience may include but not limited to the following:  

Data Strategy and Governance

• Intimately familiar with data technologies, data architecture frameworks, cloud platforms and the emerging trends in technological advancements.
• Proven experience in transforming our clients from on-prem data platforms to the cloud.
• Lead data modernization initiatives that include platform, technology and tools implementation and adoption.
• Must have experience in architecting and implementing data architecture, data engineering, reporting and analytical solutions across multiple business functions and domains.
• Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
• Demonstrate a rigorous and analytical problem-solving approach, leading information-gathering sessions and preparing and delivering client presentations and work products/prototypes.
• Identify data governance gaps and assess data governance maturity in a complex data environment. Should also be able to Identify the implications for data governance that arise from the technology, current processes, and skill levels in a complex data environment.

Data Architecture and Engineering

• Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing.
• Experience designing and building data platforms that support data lakes, data stores, data ingestion and transformations and API services for consuming data
• Ability to design and build complex data pipelines that either stream data in
• Experience and knowledge of programming and scripting languages, such as but not limited to Python, Node.JS and SQL
• Experience and knowledge of data integration tools and platforms
• Experience and knowledge of relational and dimensional database structures, theories, principles, and practice used in data warehousing and analytics solutions
• Ability to design and build data models using the appropriate technics to meet business objectives
• In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies.

Advanced Analytics and Data Visualizations

• Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire
• Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods
• Experience and knowledge of programming and scripting languages such as, but not limited to, SQL, Python and R
• Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep
• Experience and knowledge of relational and dimensional database structures, theories, principles, and practice used in data warehousing and analytics solutions
• Experience deploying enterprise-wide reporting solutions while leveraging data visualization best practices

A career at SEI extends well beyond providing great service and thought leadership to our clients. Everyone takes an active role in building and managing our business, in an environment that runs counter to traditional consulting firms. Our consultants have a “seat at the table” and contribute to growing our business in ways that align to their interests such as growing business development opportunities, conducting interviews to support our hiring process, managing internal initiatives that build our brand or organizing trainings to share what you know with your colleagues. There is no telling what an SEI Consultant will be asked to do on a day-to-day basis – we do what it takes to get the job done.

QUALIFICATIONS

Required-

• Alignment to our core values: Excellence, Participation, Integrity and Collaboration
• Hungry, Humble, Smart
• Demonstrated business and technology acumen
• Strong written and verbal communication skills
• Understanding and experience solving real business problems
• Proven track record of delivering results
• Experience working with and/or leading a team
• Ability to work across industries, roles, functions & technologies
• Authorization for permanent employment in the United States (this position is not eligible for immigration sponsorship)

Preferred-

• Bachelor’s degree
• 8+ years professional experience
• Experience across our service offerings