The Opportunity

Flexport is building the future of global fulfillment—and we’re looking for a Sr. Manager, Strategic Initiatives who wants to be at the center of that transformation. This is not a traditional management role. You will be the architect of tomorrow’s Flexport Fulfillment network: designing processes, building products, and creating the standards that will define how we operate at scale.

You’ll sit at the intersection of operations, product, and technology, working across all functions to identify gaps, design solutions, and bring them to life. We want someone who thrives in ambiguity, loves solving highly technical problems, and isn’t afraid to get hands-on—whether it’s building a new workflow in SQL, prototyping a tool, or architecting the next phase of our operating model.

If you want to make a lasting impact by building something from the ground up—and have the technical, operational, and strategic chops to do it—this is the role for you.

What You’ll Do

Architect the Future of Fulfillment

• Design, standardize, and codify the processes, products, and tools that will power Flexport’s next generation fulfillment network.
• Define operating models that can scale globally, balancing efficiency, cost, speed, and customer experience.

Build, Not Just Manage

• Own initiatives end-to-end: from diagnosing the problem, designing the solution, building prototypes, and driving implementation.
• Develop tooling, dashboards, and models directly—leveraging SQL, Python, BI platforms, and workflow automation.

Leverage Data for Strategic Planning

• Use data to uncover bottlenecks, quantify opportunities, and make recommendations that drive millions in cost savings and unlock new service capabilities.
• Build forecasting and scenario planning models to guide long-term network design and capacity planning.

Be a Cross-Functional Force Multiplier

• Partner with engineering, product, operations, finance, and commercial teams to align on priorities, build solutions, and scale them across the network.
• Translate operational pain points into product requirements and ensure adoption of new tools and processes.

Standardize the Network

• Establish and roll out SOPs, reporting cadences, and KPIs that become the backbone of Fulfillment execution.
• Drive governance and accountability around execution, ensuring every site runs on the same playbook.

Drive Strategic Initiatives at Scale

• Lead high-impact, white-space projects (automation, robotics, B2B/Retail compliance, international expansion) that redefine the limits of what Flexport Fulfillment can deliver.
• Develop and execute multi-year roadmaps in partnership with senior leadership.

You Should Have

• 7–10+ years of experience in fulfillment, logistics, supply chain, or operations strategy—ideally with direct exposure to high-volume networks.
• Extremely strong technical skillset: SQL (expert), Excel/Google Sheets (advanced), BI tools (Looker, Tableau, PowerBI), and preferably Python or R for modeling and automation.
• A proven record of designing and implementing scalable processes/products that delivered measurable business impact.
• Strong strategic thinking, with the ability to connect day-to-day execution to P&L drivers and long-term vision.
• Entrepreneurial mindset: thrives in ambiguity, comfortable building from scratch, and naturally biased toward action.
• Executive-level communication skills, with the ability to influence stakeholders across all levels of the organization.
• Bonus: Experience working with robotics, warehouse automation, or building new fulfillment products (B2B, Prep, Returns, Retail compliance).

Why This Role is Different

This role is one of the most independent, entrepreneurial, and impactful within Flexport Fulfillment. You won’t just manage a process—you’ll design and build the future of how we fulfill, scale, and serve customers. Your fingerprints will be on everything from the technology we use to the services we offer.

You’ll have the mandate to experiment, prototype, and standardize at scale—and the support of a leadership team that knows the success of this role will shape the future of Flexport Fulfillment.

Technical Director, Generative AI

About the Role

As a Technical Director, you’ll collaborate with cross-functional teams to define processes and to deliver high-quality results through well-managed, on time and on budget projects. This is a leadership role combining technical strategy, hands-on technical expertise, and execution. You will be responsible for discovery, shaping solutions, prototyping, guiding creative technologists and developers, owning the technical delivery and scale automation frameworks for our global clients.

We are looking for a Technical Director to lead the technical direction, planning, and delivery of AI-driven production work across key client accounts. This role sits within our Transformation and Applied AI team, focused on building and scaling AI pipelines for image, video, text and content generation. Technical Director acts as the technical counterpart to Solution Leads (Producers) and Creative Directors, ensuring what is sold can be realistically delivered from a technical perspective. You will define how things get built, estimate technical efforts, and assemble the right technical team to execute.

This role is focused on AI pipelines for image and video generation at scale, workflow automation and content production systems, model usage, fine-tuning, and dataset considerations, connecting multiple tools, APIs, and systems into production-ready pipelines.

Responsibilities

• Own technical delivery end-to-end: from early estimations through production/development and final delivery.
• Define technical approaches for AI-driven projects (image/video generation, automation pipelines, model training/fine-tuning).
• Translate ambiguous briefs into clear technical plans, asking the right questions around scope, assets, datasets, outputs, and constraints.

Partner closely with Solution Leads and Creative Directors to align scope, timelines, and feasibility

• Know how to assemble the right project team with required technical skills (e.g. Creative Technologists, ML engineers, backend developers).
• Lead and guide technical teams during production, ensuring quality, avoiding scope creeps, and focus on the right technical direction.
• Validate feasibility and manage trade-offs between budget, timeline, and technical complexity.
• Identify risks early and communicate constraints, assumptions, and dependencies clearly.
• Review and guide implementation of AI pipelines (e.g. ComfyUI workflows, API integrations, automation systems).
• Ensure technical quality and QA alignment, working with QA teams where needed.
• Be client-facing when required, presenting technical approaches, documentation, and progress.

About You

The essentials

• 1+ years in a Technical Director, Technical Lead, or similar production-focused leadership role.
• 5+ years of hands on experience in one of the focus areas: Creative Technology, Software Development, 3D/VFX, Real-time Engines.
• Solid understanding of machine learning fundamentals - model architectures, training vs. inference, and fine-tuning methods, and apply them in real-world generative AI pipelines.
• Strong experience in scoping, estimating, and delivering technical projects.
• Hands-on experience building or working with AI / generative pipelines, beyond text to image.
• Experience integrating APIs, automation workflows, or multi-step pipelines.
• Ability to translate high-level ideas into concrete technical plans.
• Strong understanding of production realities: timelines, budgets, resourcing.
• Comfortable leading technical teams and making architectural decisions.
• Ability to operate in ambiguous environments and bring structure quickly.
• Strong communication skills and ability to push back on unrealistic expectations.

Not a must, but a plus

• Academic or research background in Machine Learning, Computer Science, or related fields.
• Certifications in Machine Learning, Deep Learning, or Engineering.
• Experience leading cross-functional technical teams (e.g. software engineers, ML engineers, creative technologists, AI artists).
• Background in creative technology, real-time systems, or virtual production pipelines.
• Experience building or supporting scaled content generation systems or working with CPG / enterprise clients.
• Experience in marketing campaign execution (e.g. media, email) and understanding of basic performance metrics.

At Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.

#LI-hybrid #LI-MJ1 GH9695

The Monks Account Manager is a vital contributor and facilitator of successful project execution for Chevrolet. As a steward of the brand, the Account Manager is responsible for overseeing day-to-day project timelines, budgets, and executional details. Working under the direction of Chevrolet account leads, the Account Manager will be a trusted advisor and partner to clients and internal teams. They have acute attention to detail, and are in tune with automotive news and trends.  

The Day-to-Day

• Facilitate creative development, including scheduling kick off meetings, managing timelines, client feedback, legal and product reviews, and ensuring the successful delivery of final materials
• Responsible for the facilitation of multiple workstreams though production and administration of client management
• Collaborate with internal and external cross-agency teams from the conception of a project through completion 
• Organize and maintain project details and back up information 
• Maintain project status reports and other internal and client-facing documents that track progress of work and financial administration
• Consistently meet the standards set for quality, productivity and timeliness

What you bring:

• 3-5 years of experience in facilitating digital creative and/or production in an agency setting
• Experience working with cross-functional teams to deliver work in a fast-paced environment 
• Experience managing multiple projects at once with a high attention to detail
• A solutions-oriented approach with inherent curiosity 
• Ability to operate in a nimble and constantly evolving team environment
• An eagerness to learn and is comfortable asking questions to enhance their knowledge of the automotive industry 
• Foundational understanding of client financials and budget management 
• Skilled communicator with strong written and verbal communication skills in English, including both professional and casual style of communication
• Experience with and comfortable working within project management tools (WorkFront, JIRA, Monday.com, Asana, etc.) 
• Experience with Adobe Creative Cloud preferred 

At Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.  

This role is subject to our Return to Office (RTO) policy. If you reside within a commutable distance of one of our office locations, you will be expected to work from the office a set number of days per week. The specific details, including the number of required office days, will be in accordance with the company’s then-current RTO policy, which is subject to change from time to time.

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#LI-ZZ1

About The Role

As .Monks continues to expand our Data & Digital Media capabilities, we are looking for a senior professional to support and grow our services in marketing analytics.

In this role, you will support both ongoing and new engagements by overseeing the delivery of actionable and impactful insights at the intersection of business, site, and paid media data. This position plays a key role in evolving our analytics capabilities while also working closely with client stakeholders to deliver high-quality, scalable solutions.

This is a highly hands-on, client-facing role, with a strong focus on building and maintaining data pipelines, enabling measurement frameworks, and supporting advanced analytics use cases.

Key Responsibilities

• Support analytics delivery across client engagements, ensuring high-quality outputs and actionable insights
• Design, build, and optimize data pipelines and workflows to support reporting, forecasting, and measurement initiatives
• Understand business needs and contribute to the development of cross-channel measurement frameworks
• Partner closely with client stakeholders to translate data into insights and recommendations
• Support test design and analysis to evaluate performance and identify opportunities for improvement
• Contribute to the development of new analytics approaches, tools, and processes
• Identify opportunities to improve efficiency, automation, and data operations
• Collaborate with cross-functional teams (media, strategy, analytics) to deliver integrated solutions

Primary Qualifications

• Bachelor’s or Master’s degree in a quantitative field (e.g., computer science, statistics, applied mathematics, economics, engineering) or equivalent experience
• Strong hands-on experience with SQL and data pipeline development (ETL/ELT)
• Experience working with large datasets in cloud environments (e.g., GCP, Databricks, or similar)
• Working knowledge of Python or similar languages for data processing or automation
• Familiarity with data visualization tools (e.g., Tableau, Datorama, or similar)
• Understanding of digital advertising measurement, reporting, and attribution methodologies
• Strong communication skills, with the ability to translate complex data into clear insights
• Ability to work independently and manage priorities in a fast-paced, ambiguous environment

Nice to Have

• Experience with Databricks, Spark, or distributed data processing frameworks
• Exposure to marketing mix modeling (MMM), forecasting, or advanced measurement techniques
• Experience working in consulting, agency, or embedded client environments
• Familiarity with AI/ML or emerging data applications

Additional Information

• This is an individual contributor role with significant ownership and client exposure
• Success in this role requires a proactive, self-starter mindset and strong stakeholder management skills
• This role supports a West Coast–based team, so candidates should be comfortable collaborating with PST stakeholders and flexing hours when needed (e.g., occasional late afternoon meetings)

At Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.  

This role is subject to our Return to Office (RTO) policy. If you reside within a commutable distance of one of our office locations, you will be expected to work from the office a set number of days per week. The specific details, including the number of required office days, will be in accordance with the company’s then-current RTO policy, which is subject to change from time to time.

#LI-HYBRID

#LI-ZZ1

Company Overview

We are the better way to work in finance. As private equity’s value creation partner, we sit at the heart of PE where sponsors and CFOs meet. Through financial consulting rooted in data, technology, and AI, we help clients drive value where we support the office of the CFO to drive end-to-end value creation.

If you crave challenging work and are looking to grow, come solve complex issues alongside 1,600+ finance & technology experts in a supportive, collaborative environment.

Backed by premier private equity firms and headquartered in New York with 11 offices around the globe, we are a high-growth, entrepreneurial firm looking for people who want to be part of building something great. Come make your mark. 

Data & Analytics

Accordion's Data & Analytics (D&A) team offers cutting-edge, intelligent solutions to a global clientele, leveraging a blend of domain knowledge, sophisticated technology tools, and deep analytics capabilities to tackle complex business challenges.

We partner with Private Equity clients and their Portfolio Companies across diverse sectors, including Retail, CPG, Healthcare, Media & Entertainment, Technology, and Logistics.

This role can be based in any of our US office locations and is a hybrid role with the flexibility to work remotely 2 days a week. Ideal candidates should be local to the desired location.

This position is not eligible for immigration sponsorship.

Accordion Intelligence Lab

The AI Lab is composed of leading software and AI engineers, designing agentic-AI solutions ahead of the market. Our group builds and operationalizes the AI systems that power Accordion’s consulting capabilities, from agentic architectures and RAG pipelines to evaluation frameworks and production observability.

The Lab works closely with practice leaders to translate research findings into scalable, reliable tools that advance Accordion’s AI-driven value creation work for PE clients and their portfolio companies.

About the Role

We're looking for a Data Specialist to join one of Accordion's AI-augmented delivery pods. These pods are purpose-built teams that combine AI engineering, data science, and product management to transform how PE-backed companies run finance and operations.

In this role, you are the person who makes data work in practice. You move fluidly between messy source systems and production-ready pipelines, and you do it fast. You'll work directly alongside AI engineers and product managers to scope data requirements, diagnose quality issues, and build the data foundations that AI systems depend on. Client-facing moments come with the territory. You'll need to ask sharp questions, explain what you're seeing in plain language, and earn trust quickly.

This is not a role for someone who needs clean handoffs and stable requirements. The data is complicated, the timelines are short, and the problems change. If that sounds like the environment where you do your best work, this is the role.

What You’ll Do

• Build and maintain the data pipelines, models, and integrations that AI systems depend on, from raw source data to production-ready outputs
• Scope, design, and write custom ML models tailored to client problems, from feature engineering through evaluation and deployment
• Explore unfamiliar datasets with speed and rigor: identify structure, surface anomalies, and form a clear point of view on what the data can and can't support
• Diagnose data quality issues quickly, communicate their impact clearly, and drive resolution without waiting to be asked
• Work directly alongside AI engineers and product managers to translate ambiguous client problems into reliable, well-documented data products
• Run client working sessions on data (source system walkthroughs, model findings, quality assessments) and own the room when you do
• Tell the data story to non-technical audiences: in a chart, in a slide, in a meeting with a CFO who doesn't have time for jargon
• Navigate enterprise data environments fluently (ERP systems, BI platforms, financial data infrastructure) and get things done inside them
• Use AI tools to move faster across the full scope of your work: exploration, modeling, documentation, and client communication
• Travel to client site as needed

Success in the First 6 Months

• Own end-to-end data delivery on multiple AI engagements, from initial source system assessment through production-ready pipelines
• Establish a reputation within your pod for being the person who finds the data problem before it becomes the team's problem
• Run direct client working sessions on data (scope, quality, or access) and leave the client confident in your read of the situation
• Demonstrate faster, higher-quality output because of how you use AI tools, not just that you use them

 What You’ll Bring

• Deep, practical data skills across the full stack: SQL, Python, machine learning, data modeling, pipeline development, and hands-on experience with messy, real-world source systems
• Strong instincts for data quality: You find the problem, quantify the impact, and communicate what it means before anyone has to ask
• Experience working in fast-moving, sprint-based environments where requirements shift and you still ship
• Comfort working directly with clients: Asking the right questions, translating technical findings into plain language, and building credibility quickly
• Background in finance or PE-adjacent environments: ERP systems, FP&A data, financial close processes, or portfolio company data infrastructure
• Fluent with AI and ML workflows: Enough to understand what the engineers need from the data layer, why it matters, and the ability to teach what you know
• AI tools woven into how you work daily, with demonstrably faster output to show for it
• Strong written communication: you can document a model, write a findings summary, produce compelling stories from messy data, and draft a client-facing issue log clearly and quickly

This is a high-velocity environment. Sprints are short, client expectations are high, and we don’t slow down between engagements. If you’ve spent time in large enterprise engineering organizations where velocity is constrained by process, this will feel different.

The people who thrive here are those who find the pace energizing, not exhausting. They ship fast because they’ve internalized good judgment (not because they cut corners). They use AI tools to multiply their output, communicate clearly with non-technical stakeholders, and course-correct quickly when something isn’t working.

The annual salary for this role ranges from: $144,500 to $230,000 USD + significant bonus + benefits. Actual compensation packages are determined by evaluating a wide array of factors unique to each candidate, including but not limited to geographic location, skill set, years and depth of experience, education, certifications, cost of labor and internal equity.

Accordion is an Equal Opportunity Employer. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills.  We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical​​​ condition, pregnancy, genetic information, gender, sexual orientation, gender identity or ​expression, veteran status, or any other status protected under federal, state, or local law.

Please note that as per Accordion policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening and in alignment with our inclusive diversity values. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that Accordion will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.

#LI-BS1

THE POSITION
Our roster has an opening with your name on it

We are looking for a Data Engineer to join our growing data engineering team and help build the pipelines and infrastructure that power analytics, machine learning, and business decision-making across the company. In this role, you’ll own the design, development, and maintenance of reliable data systems while collaborating with stakeholders to support high-impact data use cases.

The ideal candidate is a strong technical contributor who enjoys working with data at scale, solving practical problems, independently executing on projects, and continuously learning in a fast-paced environment.

If you’re excited by this challenge and want to work within a dynamic company, then we’d love to hear from you.

In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.

THE GAME PLAN
Everyone on our team has a part to play

Build & Maintain Data Pipelines

• Design, build, and maintain scalable batch and streaming data pipelines to support analytics and business operations.
• Write clean, efficient, and well-documented code using tools like Python, SQL, and Spark.
• Ensure data is reliable, accurate, and delivered in a timely manner.
• Lead projects to build or improve well-scoped data products.

Collaborate Across Teams

• Work with data analysts, data scientists, and product managers to understand and clarify ambiguous requirements to deliver actionable data solutions.
• Translate business questions into engineering tasks and contribute to technical planning.
• Participate in code reviews, sprint planning, and retrospectives as part of an agile team.
• Contribute to team wide best practices.

Data Quality & Operations

• Monitor data pipelines and troubleshoot issues in a timely, systematic manner.
• Driving reliability and continuous improvement of data platforms and pipelines.
• Implement data quality checks and contribute to observability and testing practices.
• Document data sources, transformations, and architecture decisions to support long-term maintainability.

THE STATS
What we're looking for in our next teammate

• 3+ years of experience in data engineering, analytics engineering, or software engineering with a focus on data.
• Strong SQL skills and familiarity with at least one programming language (e.g., Python, Java, or Scala).
• Hands-on experience with modern data tools such as Databricks, Airflow, dbt, Spark, or Kafka.
• Understanding of data modeling concepts, data warehousing, and ETL/ELT best practices.
• Experience working with cloud-based data platforms (AWS, GCP, or Azure).

Preferred Qualifications

• Experience supporting BI, analytics, or data science teams.
• Familiarity with version control, CI/CD, and collaborative development workflows.
• Exposure to data governance, privacy, or compliance practices.
• Eagerness to learn new technologies and contribute to the growth of the team.
  
  
  

ABOUT FANDUEL

FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.  

In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.

The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.

FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).

PLAYER BENEFITS
We treat our team right

We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here: FanDuel Total Rewards. *Benefits differ across location, role, and level.

FanDuel is an equal opportunities employer and we believe, as one of our principles states, “We are One Team!”. As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.

The applicable salary range for this position is $116,000 - $152,250 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.

FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email Benefits@fanduel.com.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

#LI-Hybrid

The Challenge

As the BI Analyst within the R&D Operations team, you will play a pivotal role in driving operational excellence and delivering impactful data insights to support our global Product Management and Engineering teams. You will leverage data to influence decision-making, lead analytics projects from end to end, and provide strategic insights to enhance our Product Management and Engineering processes. The ideal candidate thrives in a hands-on analytics environment, has a strong background in data analytics, experience with SaaS Product and/or Engineering, and is eager to design metrics, solve complex problems, and drive reporting excellence.  

Your Mission

Data Analysis & Reporting  

• Develop and maintain dashboards and analytical reports to track key Product and Engineering velocity, quality, reliability metrics, and provide actionable insights.  
• Analyze Product and Engineering data to identify trends, challenges, and opportunities, supporting decision-making across multiple functions.  
• Create predictive models and scenario analyses to improve product strategies and planning, and engineering performance.  

Operational Support  

• Lead end-to-end execution of Product and Engineering analytics projects, from scoping requirements to delivering impactful results.  
• Develop and implement key performance indicators (KPIs) and metrics to measure and improve Product and Engineering effectiveness.  
• Build, maintain, and deliver high-quality dashboards and reports that provide clear visibility into R&D performance.  
• Analyze complex data sets to identify trends, solve problems, and uncover opportunities.  
• Partner with Product and Engineering Operations, Strategy, HR, Finance, and other business functions to align R&D operations with broader organizational objectives.  
• Provide ad-hoc operational and analytical support to Product and Engineering leaders as needed, ensuring smooth daily operations.  
• Evaluate, implement, and optimize analytics tools to enhance reporting capabilities and streamline R&D operations.  

You Are

• Analytical and Data-Driven: You have a strong aptitude for interpreting complex data and translating it into actionable insights.  
• Highly Organized: You thrive in fast-paced environments, managing multiple priorities with precision and attention to detail.  
• Tech-Savvy: Proficient in Microsoft Power BI and advanced Excel; experience with Snowflake is a plus.  
• A Collaborative Problem Solver: You enjoy working with cross-functional teams to address challenges and drive meaningful improvements.  
• Change-Oriented: Comfortable navigating ambiguity and leading initiatives that challenge the status quo.  

Your Experience Includes 

• Bachelor’s degree in Business Intelligence, Data Analytics, or a related field.  
• 4–6+ years in Business Intelligence, Data Analytics, or a related analytics role.  
• Demonstrated ability to analyze large datasets and deliver clear, actionable insights.  
• Experience handling sensitive and confidential information with discretion.  
• Proficiency in SQL for data extraction from data warehouses and performing data transformations.  
• Proficiency in utilizing Power BI to develop data models and dashboards. 
• Familiar with modern SaaS product development processes