Smartsheet is empowering ambitious sales professionals to join our team as Account Executives. In this role, you'll transcend traditional sales, becoming a trusted advisor and strategic partner to our customers. You'll be at the forefront of driving significant revenue growth by managing and expanding relationships within a portfolio of accounts. This is your chance to leverage your strategic thinking and sales acumen to navigate complex deals and deliver transformative solutions that directly impact our clients' success.

At Smartsheet, we provide a leading cloud-based platform for work execution, enabling organizations to plan, capture, track, automate, and report on work at scale. We are committed to fostering a culture of trust and innovation, empowering our team to deliver exceptional value to our clients.  

This role is eligible for remote work within Costa Rica. You  must reside in Costa Rica.  

You will:

• Drive Strategic Growth: Exceed software and services sales targets by developing and executing strategic account plans for clients.
• Cultivate Executive Relationships: Build and nurture strong relationships with C-level executives and key decision-makers, positioning Smartsheet as a strategic partner.
• Navigate Complex Deals: Lead complex, solution-based sales cycles, aligning Smartsheet's capabilities with clients' strategic objectives and driving significant deal closures.
• Proactive Opportunity Identification: Identify and capitalize on expansion opportunities within existing accounts, anticipating client needs and proactively offering tailored solutions.
• Strategic Pipeline Management: Develop and maintain a robust sales pipeline, accurately forecasting revenue and leveraging data-driven insights to optimize sales strategies.
• MEDDICC: Expertly apply MEDDICC qualification methodologies to ensure deal success and drive predictable revenue growth.
• Cross-Functional Collaboration: Partner with internal and external stakeholders, including solution engineering and customer success teams, to deliver exceptional client experiences.
• Sales Leadership: Embody the traits of an elite sales professional, serving as a mentor and role model for the team.
• Other job duties as assigned.

You have:

• Proven Sales Expertise: 1-3 years of progressive sales experience, with a strong track record of success in the software or technology sector.
• Strategic Account Management: Demonstrated ability to manage and expand relationships within accounts in a B2B environment.
• Strategic Thinking and Problem-Solving: Ability to analyze complex client needs, develop strategic solutions, and navigate challenging sales cycles.
• Professional Presence and Communication: Exceptional written and verbal communication skills, with the ability to effectively engage and influence C-level executives. B2 English Proficiency Level or higher.
• Technical Acumen: Passion for technology and the ability to quickly grasp complex technical concepts.
• Sales Tools Proficiency: Proficiency in CRM systems (Salesforce), sales engagement tools (Outreach), data visualization platforms (Tableau), and others as needed.
• Resilience and Adaptability: Ability to thrive in a fast-paced environment, adapt to change, and overcome challenges.
• Educational Background: Degree in Business Administration, Marketing, Sales, or a related field preferred, or equivalent sales experience.
• Smartsheet Expertise: Deep understanding of the Smartsheet platform and advanced capabilities.
• Complex Solution Sales: Proven ability to execute complex solution sales involving both software and services.

Perks & Benefits:

• Fully paid Health & Life insurance for full-time employees and family members
• Monthly stipend to support your work and productivity
• Asociacion Solidarista with employee and employer contributions as well as potential alliances with entities such as universities, gyms, etc.
• 12 days paid Vacation + Flexible Time Away Program
• 20 weeks fully paid Maternity Leave
• 12 weeks fully paid Paternity/Adoption Leave
• Personal paid Volunteer Day to support our community
• Opportunities for professional growth and development including access to LinkedIn Learning online courses
• Company Funded Perks including a counseling membership and your own personal Smartsheet account
• Teleworking options from any registered location in Costa Rica (role specific)

Seeking to hire a Contractor based out of Mexico or Argentina for Lead Analytics Engineering Data Team

• We are looking for a Lead Analytics Engineer to join our data team.
• Reporting to the Hiring Manager, you will be responsible for applying data engineering best practices to analytics code to transform, test, and document data.
• You will provide clean and organized data sets to end users.
• You will be provide expert code reviews and mentorship to other engineers in the data space
• You will be responsible for building and maintaining composable data models, as well as optimizing SQL query performance for the models you build.
• You will transform raw data into business insights, working closely with stakeholders and developing analyses to answer critical business questions.
• You will create data visualizations and help stakeholders explore and understand the data visualization tools available to them.

Why you'll love this role:Data Modeling and Transformation

• Build new analyses and support existing ones using SQL and Python.
• Apply software engineering principles like version control and continuous integration to the analytics codebase.
• Expand our data warehouse with clean data ready for analysis.

Data Quality and Testing

• Apply advanced data testing strategies to ensure resulting datastores are aligned with expected business logic.
• Implement validation checks and automated testing procedures to manage data quality in your ETL/ELT pipelines.

Collaboration and Communication

• Work with stakeholders to define business logic and data expectations.
• Help drive a change in the usage of data by actively surfacing insights to stakeholders.
• Lead initiatives and problem definition, scoping, design, and planning.

Infrastructure and Automation

• Build tools and automation to run data infrastructure.
• Manage large-scale data migrations in relational datastores.

Why you're a great fit:

• 8+ Years experience working with data in a software environment. 
• Required Skills: Mastered proficiency in SQL and Python; advanced experience managing business semantic layer tooling, data catalog tooling and  data integrity testing frameworks. Experience with dbt orchestration and best practices.
• You have a track record of working autonomously and proactively, with deep domain knowledge of data systems.
• Required Tech Stack: SQL, Python, relational datastores, DAG tooling (like Dagster or Airflow), dbt and Tableau.
• Experience with cloud-based infrastructure (AWS, GCP, Terraform) and document, graph, or schema-less datastores.

Please note that given the nature of the contract, this role will not be eligible to participate in company-sponsored benefits

About Newsela:

Newsela is a leading education technology company dedicated to meaningful classroom learning for every student. We deliver integrated, AI-powered solutions designed to unlock student engagement, empower teachers, and drive meaningful learning outcomes. Our suite of products supports knowledge and skill development, writing practice, daily instruction, assessment, and data-informed decision-making across K–12 classrooms. Grounded in learning science research, Newsela’s solutions integrate content, assessment, and analytics to help educators track progress, understand student outcomes, and deliver high-impact instruction that supports every learner.

#LI-Remote

We are looking for a Quote Support Manager to join our Deal Desk Operations team. This role is based in Costa Rica with hybrid flexibility to accommodate team and manager needs, reporting to the Director, Global Deal Operations. The Quote Support Manager will support Sales and the deal process while managing the Quote Support team, ensuring successful execution of the quote process with adherence to strategy, commitments, and goals, as well as compliance with policies and procedures. You’ll be responsible for leading and developing an efficient and productive team while supporting the Sales organization.

What you’ll do (Role Expectations)

• Provide day to day leadership, providing guidance to a team of analysts on decision making and critical thinking, supporting the business in achieving long term goals
• Subject Matter Expert on your team’s activities and responsibilities and serve as an escalation point on Quote-To-Order processes, identifying cause, and ensuring appropriate resource(s) are engaged for resolution
• Partner with peer organizations and leadership to drive global best practices, refine policies, strategies, and processes
• Leverage reporting and analytics to mitigate potential contract and order issues as well as for measuring the team’s key performance indicators
• Work with your team members to create goals that support their career development objectives

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You think at scale. You connect your day-to-day work to the larger company mission and think globally. You build solutions, processes, and teams that are not just effective today but are built to last and support a high-growth, global organization.
• You lead with integrity. You do the right thing, even when it’s hard. You hold yourself and others to a high standard of accountability and build trust by matching your words with consistent, transparent action.

What We’re Looking for (Minimum Qualifications)

• Demonstrated lead or management experience
• 5+ years experience in a Deal Desk, Sales Operations Support, Quote Support, or Order Management
• Results driven with excellent attention to detail, ability to work under pressure, dependable with deliverables and deadlines, and able to make tough decisions to solve problems
• Active listener and effective communicator – written and verbal,  in person and virtual; able to explain complex 
• Proficient with Salesforce.com, Quote applications (preferably CPQ), MS Office, and G-suite, Tableau, and Salesforce Reporting

What Will Make You Stand Out (Preferred Qualifications)

• Experience in High-Tech/SaaS industry
• Bachelor's degree in Business Administration/Management, Finance or a related field

#LI-Hybrid #LI-CostaRica  #LI-DS9

About the Role 

We’re looking for an ML/AI Ops Engineer with 7+ years of experience to own the end-to-end operationalization of our ML/AI solutions, ensuring models move smoothly from development to scalable, reliable production products. In this role, you’ll design and automate CI/CD pipelines, build and optimize model lifecycle workflows, monitor deployed models for performance, drift, and reliability, and integrate intelligence products into various digital tools such as Copilot, Salesforce, and Tableau. You’ll collaborate closely with Data Scientists, Data Engineers, and Data Architects to transform high-quality research models into robust, production-grade products. This is a key role in shaping a modern ML/AI lifecycle—from CI/CD to high governance. 

What You’ll Do 

• Own the end-to-end operationalization of ML and AI solutions—from development to scalable, reliable production systemsthat integrateseamlessly with other digital tools. 
  • Design, automate, and maintain CI/CD pipelines for model training, testing, deployment, and retraining (Azure DevOps, Databricks). 
  • Build, optimize, and version model lifecycle workflows, ensuring reproducibility, lineage, and governance across the ML/AI platform. 
  • Monitor production models for performance, drift, reliability, and resource usage; implement automated retraining workflows. 
  • Optimize compute, storage, and orchestration across the Databricks platform to ensure efficient, cost-effective operations. 
  • Collaborate closely with ML/AI Scientists, Data Engineers, and DWH team to transform research-grade models into production-ready services. 
  • Contribute to advancing our ML/AI platform, tooling, automation standards, and best practices. 

What You’ll Bring 

• Solid experience in operationalizing ML/AI models, including deployment, automation, monitoring, and lifecycle management.
• Strong programming skills in Python,PySpark, and SQL with clean, efficient, production-ready code.
• Experienced in feature engineering with a practical understanding of data engineering fundamentals - designing, validating, and optimizing feature pipelines, and ensuring feature consistency
• Experience in building Vector embeddings & RAG systems.
• Familiarity in ML and LLM models development and libraries used.
• Experience with MLflow (or similar tools) for model tracking, registry management, and lifecycle operations.
• Familiarity with CI/CD pipelines (Azure DevOps preferred)
• Strong grasp of data versioning, model versioning, reproducibility, and data lineage within governed ML/AI environments.
• Experience designing, consuming, or integrating REST APIs to expose ML/AI models as services and support real-time or near-real-time inference.
• Experience monitoring production models, identifying drift or performance issues, and implementing corrective workflows.
• A collaborative, systems-thinking mindset, working closely with ML/AI Scientists, Data Engineers, and Data Warehouse team. 

Bonus Skills 

• Understanding ofdata quality frameworks and how they integrate into ML pipelines.
• Comfort with infrastructure-as-code for provisioning and managing ML/AI platform components. 
• Working knowledge of Unix environments and general DevOps principles; exposure to Docker/Kubernetes is beneficial.
• Experience with real-time or near-real-time serving architectures, event-driven systems, or streaming-based inference.
• Experience with AI agent tools and MCP servers. 
• Strong interest in contributing to internal ML/AI platform evolution, including tooling, automation, standards, and best practices.

What You’ll Get 

• Two weeks of paid vacation, 12 statutory holidays, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Paid parental leave: 8 days for fathers, 122 days for birthing parents, 92 days for adoptive parents
• Medical, dental, and vision coverage fully funded through INS Premium for employees and dependents
• Mental health support, therapy sessions, and virtual care via our Employee Assistance Program
• Retirement and social security contributions through Costa Rica’s statutory programs
• Life insurance equal to 24x monthly salary, plus disability and funeral coverage
• Daily cafeteria subsidy
• Fertility, adoption, and surrogacy support, plus 24 paid volunteer hours through Veeam Cares
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning

#LI-CC1

About the Role

We’re looking for a Data Science Engineer with 7+ years of experience to join the Revenue Intelligence team at Veeam. This role is ideal for someone who thrives in a fast-paced environment, enjoys building scalable data solutions, and is passionate about driving business impact through analytics, machine learning, and AI. You’ll work closely with cross-functional teams to turn data into actionable insights and intelligent applications.

What You’ll Do

• Design and implement data science, machine learning, and AI solutions to support strategic decision-making
• Perform deep-dive quantitative and qualitative analyses to validate business hypotheses and drive improvements
• Contribute to cross-functional initiatives involving data science, ML, and AI engineering use cases
• Develop knowledge bases from structured and unstructured data to support RAG systems and AI agents
• Build data-driven applications (e.g., Streamlit) to enable internal access to AI-powered capabilities
• Partner with stakeholders to deliver actionable insights and recommendations
• Continuously improve processes and identify opportunities for automation and efficiency

Technologies You’ll Work With

Python, SQL, Machine Learning & AI Frameworks, Databricks / PySpark, Data Visualization Tools (Streamlit, Tableau, Power BI, Qlik)

What You’ll Bring

• 7+ years of professional experience in data science, analytics, or machine learning roles
• Strong proficiency in Python and SQL
• Experience building scalable data science solutions (feature engineering, model training, evaluation, deployment, MLOps)
• English Bilingual
• Solid understanding of data engineering concepts (ETL/ELT, data modeling, pipelines, governance)
• Experience integrating LLMs into production systems (prompt engineering, RAG, AI agents)

Bonus Skills

• Experience with software engineering best practices (APIs, testing, version control, deployment)
• Hands-on experience with Databricks or PySpark
• Familiarity with data visualization platforms and storytelling with data
• Experience using project management and collaboration tools (Jira, Trello, Confluence)
• Strong technical writing and documentation skills

What You’ll Get

• Two weeks of paid vacation, 12 statutory holidays, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Paid parental leave: 8 days for fathers, 122 days for birthing parents, 92 days for adoptive parents
• Medical, dental, and vision coverage fully funded through INS Premium for employees and dependents
• Mental health support, therapy sessions, and virtual care via our Employee Assistance Program
• Retirement and social security contributions through Costa Rica’s statutory programs
• Life insurance equal to 24x monthly salary, plus disability and funeral coverage
• Daily cafeteria subsidy
• Fertility, adoption, and surrogacy support, plus 24 paid volunteer hours through Veeam Cares
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning

#LI-CC1

Who We Are

Konrad is a next-generation digital consultancy. We are dedicated to solving complex business problems for our global clients with creative and forward-thinking solutions. Our employees enjoy a culture built on innovation and a commitment to creating best-in-class digital products in use by hundreds of millions of consumers around the world. We hire exceptionally smart, analytical, and hard-working people who are lifelong learners.

About The Role

As a Data Analyst, you are an early-to-mid career analytics professional with a strong foundation in data analysis and a desire to grow your technical and consulting skill set. You support the delivery of analytics and reporting solutions that help clients better understand their data and make informed decisions. You are comfortable working with structured datasets and are eager to deepen your experience in data modeling, visualization, and business analysis.

You will work closely with senior analysts, data scientists, engineers, and business stakeholders across a variety of client engagements. With guidance and mentorship, you will contribute to analytics initiatives including dashboarding, exploratory analysis, KPI tracking, and data quality validation. You are curious, detail-oriented, and motivated to continuously improve your analytical skills.

What You’ll Do

• Support client and internal teams in understanding business questions and translating them into analytical requirements
• Analyze data to identify trends, patterns, and insights under the guidance of senior team members
  Build and maintain dashboards and recurring reports to track key metrics and performance indicators
• Assist in documenting metrics, definitions, and analytics processes
• Collaborate with data engineers and other analysts to support data modeling and reporting layers
  Communicate insights clearly through visualizations, summaries, and presentations
• Proactively identify opportunities to improve reporting, data quality, and analytical workflows
  
  

Qualifications

• Minimum 2+ years of experience in a data analyst, business intelligence, or analytics-focused role
• Programming experience in Python, Bash scripting, R or related language
• Working proficiency in SQL and experience querying cloud data warehouses (e.g., Snowflake, Databricks, Redshift, BigQuery)
• Experience with Business Intelligence and data visualization tools (e.g., Looker, Tableau, Power BI)
• Foundational understanding of data modeling and analytics best practices
• Experience defining and tracking KPIs and metrics
• A/B testing and causal analysis
• Strong analytical and problem-solving skills with attention to detail
• Clear written and verbal communication skills
  Ability to work collaboratively in cross-functional and consulting-style environments
• Interest in learning about data governance, privacy, and security best practices

Perks and Benefits

• Mentorship Program
• Comprehensive Health & Wellness Benefits Package
• Parental Leave Program
• Flexible Working Hours
• Work from Home Flexibility
• Service Recognition Programs
• Socials, Outings & Retreats
• Culture of Learning & Development

#LI-Hybrid

Kepler executes engineered marketing, where every message and ad delivered helps create a more personalized and productive relationship between brands and their consumers. We do this by acting as clients’ agency of record, as their in-house team, or some hybrid of the two – and by harnessing data and technology across all paid digital media and data-driven CRM channels.

Kepler prides itself on being a great place to work. In fact, we’re proud to share that AdAge recognized Kepler among the Best Place to Work in 2022, validating our investment in our team and our clients.

• We're transparent with our employees. You'll hear updates on company financials, how we're performing against bonus goals, and how we're responding to challenges we face. 
• We're growing. For you, that means unparalleled growth opportunities and a role in shaping the direction of the company. 
• We're fun. You'll work with and learn from the smartest people in the industry and have a blast doing it.  

Summary:

As a Data Scientist you will play a key role in ensuring high-quality data delivery, improving reporting frameworks, and supporting deeper analysis to inform internal decision-making. This role builds on strong data foundations and introduces more advanced analytical thinking, while maintaining a focus on scalable execution and operational excellence.

You will work closely with internal and cross-functional teams to enhance data processes, support performance analysis, and contribute to more efficient and data-driven decision-making across accounts.

What You Will Do: 

• Revamp an existing customer lead scoring model predicting conversion propensity based on web behavior across regional brand websites. Address current data lag and interpretability issues.
• Act as a strategic partner to the client's digital analytics team, taking conceptual questions and pitching "white space" mathematical/statistical opportunities.
• Build/run models to support client Marketing Mix Modeling readouts. Leverage 1PD and third-party data (TransUnion) to uncover insights, perform clustering, and develop predictive targeting segments.
• Help trial and evaluate new platforms (proprietary and 3rd party) for built-in AI capabilities and enhancements over existing reporting and analytical tools.

Must Have: 

• 3-5 years of professional and practical experience. 
• Strong command of applied statistics and testing methodologies, preferably within the media analytics space.
• Strong command of Python, SQL and Machine Learning algorithms (Classification, Regression, Clustering, XGBoost Library).
• Must be comfortable navigating and extracting data from AWS environments (e.g. Athena), Adobe Analytics, Google Analytics, Knime, and Dashboards (Tableau).
• Advanced english level (B2+/C1) is a strict and mandatory requirement. 

Nice to have: 

• Marketing Mix Modeling (MMM), audience segmentation, and model interpretability (e.g., SHAP/LIME).

Benefits & Perks

• Competitive health and dental benefits.
• Tuition reimbursement and training stipend.
• Hybrid Office/WFH Schedules: office supplies, internet, and phone stipend.
• “Work from Anywhere” 4 weeks per year.
• Stocked kitchen, and other team outings.
• Collaborative and friendly work space, easily commutable location.
• Volunteering & altruism opportunities.
• Team building lunches and events, and company celebrations: Summer, Halloween, Holidays, and many multicultural holidays recognized/celebrated.
• If something is important to you that’s not listed here, let us know!

Career & Development Focus

• Ongoing learning and development for education opportunities such as webinars, books, classes, relevant conferences and events.
• Opportunities to pursue business related side projects and Hackathons.
• Environment of learning from peers, including 30+ class training program, Kepler University, powered by Center of Excellence and Tiger Team subject matter expert groups.
• Opportunity to work with cutting edge technology and industry thought leaders.
• Kepler Rocket Mentorship Program: beneficial for the development of both mentors and mentees.

**All applications must include a Resume & Cover Letter in English to be considered. 

Kepler is a people first organization. If this roles piques your interest but you may not check every box, we still encourage you to apply! Studies show that imposter syndrome can prevent women and people of color from applying unless they meet every single qualification. We welcome all who are interested to apply, you just might be a great candidate for this role or others.

Protect yourself from recruitment fraud. The only way to apply for a position at Kepler is by submitting a direct application via the Keplergrp.com website or working with a recruiter employed by Kepler with a @keplergrp.com email address. Learn how to stay safe by clicking here

As a Marketing Science Senior Analyst, you will co-lead the design and execution of measurement strategies, advanced analytics, and content intelligence programs that drive media performance in B2B environments.  

You will partner with stakeholders to translate business objectives into KPIs, build scalable frameworks, and deliver actionable insights that optimize campaigns across creation and progression. Your expertise in data science, reporting, and testing ensures that marketing investments are measurable, transparent, and continuously optimized.  

You will: 

Measurement Strategy  

• Build and maintain measurement frameworks mapping campaign objectives to KPIs.  

• Assess current measurement approaches and recommend updates aligned with media plans.  

• Establish baselines using historical data and ensure governance protocols are documented.  

• Share updated frameworks with stakeholders to inform insights, learnings, and optimizations.  

Content Intelligence & Insights 

• Deliver regular insights and optimization recommendations (monthly cadence).  

• Support Quarterly Business Reviews with reporting and analysis.  

• Provide creative and media optimization recommendations.  

• Develop recap deliverables for prioritized campaigns and key moments.  

Advanced Analytics  

• Conduct analyses aligned to the Learning Agenda (e.g., forecasting, correlation studies, brand sentiment, ad- fatigue).  

• Build descriptive and inferential statistical models to evaluate campaign effectiveness.  

• Develop machine learning models for personalization, lead scoring, and progression analysis.  

Learning Program  

• Design and scale a structured Learning Agenda across media activities.  

• Build testing frameworks (A/B/M/V) and deliver test readouts.  

• Document best practices and maintain a centralized Learning Library dashboard.  

Data & Dashboards  

• Build and manage unified data foundations integrating campaign, programmatic, partner, and brand study data.  

• Establish anomaly detection mechanisms and QA processes.  

• Design and maintain dashboards (campaign performance, programmatic/social, partner data, brand studies).  

• Ensure taxonomy alignment across data sources and reporting views.  

Tagging, Trafficking & Taxonomy  

• Consult on tagging, trafficking, and UTM requirements to ensure measurement consistency.  

• Generate and manage Creative IDs (CID) database.  

• Support QA processes and flag trafficking issues based on anomaly detection.  

Collaboration & Leadership  

• Provide direction to associate analysts and analysts.  

• Contribute analytics content for proposals, pitches, and thought leadership initiatives.  

• Partner with stakeholders to align measurement, insights, and optimization priorities.  

You have: 

• B.S. degree in a quantitative or technical field (Economics, Mathematics, Computer Science, Business, etc.)  

• 3–5 years of experience leading analytics deliverables in media marketing science, ideally within B2B contexts.  

• Expertise in analytics platforms (Adobe Analytics, Adobe Experience Platform, Google Analytics, enterprise analytics tools, tag management systems).  

• Strong proficiency in Python, R, SQL, or other statistical programming languages.  

• Experience with ETL/data integration, automated reporting pipelines, and anomaly detection.  

• Skilled in data visualization platforms (Tableau, PowerBI).  

• Familiarity with machine learning techniques applied to media performance and personalization.  

• Experience analyzing B2B digital channels (paid search, display, CRM-driven campaigns, ABM (Account based marketing) platforms.  

• Understanding SEM, CRM, and account-based marketing integration within broader media strategies.  

• Knowledge of market research techniques and their application to media optimization.  

This role ensures that media marketing science is directly tied to business outcomes. By building robust measurement frameworks, delivering content intelligence, and driving advanced analytics, you will empower enterprise clients to optimize campaigns, enhance customer experiences, and achieve measurable growth in B2B markets.  

What We Offer:   

• Global maternity and parental leave   
• Work-life balance  
• Competitive benefits packages   
• Vacation, compassionate leave, wellness days, and flex days   
• Access to online services for families and new parents  
• Diversity and Inclusion Board with 13 affinity groups   
• Internal learning and development programs   
• Asociación Solidarista - You can join voluntarily 

“The Talent Team at Critical Mass is focused on ensuring we provide the best training, onboarding, and employee experience possible!  Our new hires & employees are the future of our organization, and we want to set you up for long-term success.  In an effort to do so, we expect our team to work from an office a minimum of 3 days a week.  The ask stems from our want to:  

Strengthen opportunity for continuous learning

Improve collaboration and team relationships.  

Increase employee engagement  

We understand that not everyone may feel comfortable with this expectation, so we ask that you please let us know immediately if there are any concerns so we can help navigate accordingly.”  

About the Role

Tebra is seeking a Senior Product Business Analyst to advance our product analytics program and unlock smarter, faster decision-making across our platform teams. You’ll be the connective tissue between data and decision-making by translating complex product usage metrics into clear, actionable insights that shape roadmap strategy, feature adoption, and product innovation.

Your Area of Focus

• Define and evolve Tebra’s product performance metrics and reporting infrastructure to ensure visibility into active usage (DAU/MAU) and feature adoption.
• Serve as a strategic business partner to Product and Engineering leadership by translating usage data into actionable insights that guide roadmap prioritization.
• Deliver leadership-ready analyses and Tableau dashboards that influence decision-making and measure progress toward product goals.
• Build and maintain scalable SQL models in Snowflake that power self-service analytics and trusted product reporting.
• Establish unified reporting standards to create a consistent view of the user journey across Product, Engineering, and Finance.
• Partner closely with cross-functional analysts in Customer Success, Growth, and Finance to draw insights connecting product usage to business metrics like retention, expansion, and pricing strategies.
• Build and maintain a comprehensive data dictionary for the product analytics function to ensure data literacy across the organization.

Your Professional Qualifications

• 5+ years of experience in Product Analytics, Business Intelligence, or Data Analytics within a SaaS environment.
• Consultative leadership aligning and guiding product teams to optimize user flows, feature stickiness, and overall platform health.
• Expertise in SQL, Snowflake, and Tableau to build automated analytics models that drive self-service insights at scale.
• Experience handling PHI (Protected Health Information) and navigating the security requirements of highly regulated healthcare data environments.
• Demonstrated success analyzing financial data, billing metrics, or revenue cycle management (RCM) workflows within a product context.
• Strong ability to break down ambiguous business problems into structured, solvable components for technical teams.

(For Recruiter use only) #LI-SS1 #LI-Hybrid

Kepler executes engineered marketing, where every message and ad delivered helps create a more personalized and productive relationship between brands and their consumers. We do this by acting as clients’ agency of record, as their in-house team, or some hybrid of the two – and by harnessing data and technology across all paid digital media and data-driven CRM channels.

Kepler prides itself on being a great place to work. In fact, we’re proud to share that AdAge recognized Kepler among the Best Place to Work in 2022, validating our investment in our team and our clients.

• We're transparent with our employees. You'll hear updates on company financials, how we're performing against bonus goals, and how we're responding to challenges we face. 
• We're growing. For you, that means unparalleled growth opportunities and a role in shaping the direction of the company. 
• We're fun. You'll work with and learn from the smartest people in the industry and have a blast doing it.  

Summary:

As a Senior Data Strategy & Analytics Analyst, you will play a key role in ensuring high-quality data delivery, improving reporting frameworks, and supporting deeper analysis to inform internal decision-making. This role builds on strong data foundations and introduces more advanced analytical thinking, while maintaining a focus on scalable execution and operational excellence.

You will work closely with internal and cross-functional teams to enhance data processes, support performance analysis, and contribute to more efficient and data-driven decision-making across accounts.

What You Will Do:

• Manage digital media, third party, and client data across multiple clients.
• Lead data ingestion, QA, transformation, and validation processes for complex datasets.
• Design, build, and maintain scalable dashboards and reporting solutions (e.g., Tableau, Datorama, Looker, Power BI) aligned with business needs.
• Identify, troubleshoot, and proactively resolve data discrepancies, tracking issues, and reporting gaps.
• Support the analysis of performance trends, helping internal teams better understand drivers and areas of opportunity.
• Contribute to deeper analyses and structured approaches that inform optimization and decision-making.
• Partner with cross-functional teams to understand data needs and deliver clear, actionable outputs.
• Collaborate closely with US-based leads to gain exposure to client needs, business context, and performance drivers.
  Contribute to automation of reporting and data workflows to improve efficiency and scalability.
• Support improvements in data processes and help identify opportunities to streamline operations.
• Develop an understanding of how data flows across systems and support data integration efforts.
  Collaborate with technical teams to support data-related initiatives and troubleshooting.
• Help standardize data workflows, documentation, and best practices across accounts.
  Gain exposure to more advanced methodologies (e.g., testing approaches, structured analyses) as part of ongoing development.
• Develop strong familiarity with digital marketing platforms, data structures, and internal tools.

Must Have:

• 3+ years of experience in data, analytics, or digital marketing environments.
• Strong analytical and problem-solving skills, with the ability to work through ambiguous or undefined challenges.
• Advanced proficiency in Tableau, SQL and strong Excel or GSheets skills (mandatory).
• Experience working with large datasets and multiple data sources.
• Experience building dashboards or reporting solutions.
• Ability to manage multiple priorities and work independently.
• Strong communication skills in English (B2+/C1 level).
• High attention to detail and strong sense of ownership.
• Exposure to AI tools or a strong willingness to develop skills in AI-driven solutions and automation.
• Ability to work in a fast-paced, team-oriented environment.
• Bachelor Degree in Data Analytics, Computer Science or related fields. 

Nice to Have:

• Experience with other data visualization tools (e.g., Datorama, Looker, Power BI).
• Exposure to digital marketing or media analytics.
• Familiarity with statistical concepts, testing methodologies, or performance analysis frameworks.
• Exposure to scripting or automation tools (e.g., Python).
• Interest in more technical aspects of data (e.g., data pipelines, data architecture).
• Experience supporting cross-functional teams with data-driven insights.

Benefits & Perks

• Competitive health and dental benefits.
• Tuition reimbursement and training stipend.
• Hybrid Office/WFH Schedules: office supplies, internet, and phone stipend.
• “Work from Anywhere” 4 weeks per year.
• Stocked kitchen, and other team outings.
• Collaborative and friendly work space, easily commutable location.
• Volunteering & altruism opportunities.
• Team building lunches and events, and company celebrations: Summer, Halloween, Holidays, and many multicultural holidays recognized/celebrated.
• If something is important to you that’s not listed here, let us know!

Career & Development Focus

• Ongoing learning and development for education opportunities such as webinars, books, classes, relevant conferences and events.
• Opportunities to pursue business related side projects and Hackathons.
• Environment of learning from peers, including 30+ class training program, Kepler University, powered by Center of Excellence and Tiger Team subject matter expert groups.
• Opportunity to work with cutting edge technology and industry thought leaders.
• Kepler Rocket Mentorship Program: beneficial for the development of both mentors and mentees.

**All applications must include a Resume & Cover Letter in English to be considered. 

Kepler is a people first organization. If this roles piques your interest but you may not check every box, we still encourage you to apply! Studies show that imposter syndrome can prevent women and people of color from applying unless they meet every single qualification. We welcome all who are interested to apply, you just might be a great candidate for this role or others.

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