Tiger Analytics Jobs in Usa

Director, Analytics Product Management Business Intelligence Center (Google Cloud) – Hybrid

Houston, Texas – US Citizen or Green Card Only

We are looking for a strategic leader to drive the vision, development, and adoption of advanced analytics and AI solutions across our sales organization. This role will oversee a portfolio of AI-enabled products, including predictive models, generative AI tools, and decision intelligence integrated into CRM and digital platforms, all designed to enhance sales performance and revenue growth.

As a key leader, the Director will partner with senior product managers and cross-functional technical teams to define product strategy, prioritize initiatives, and ensure seamless execution. Success in this role requires a strong blend of technical expertise, business insight, and executive influence, enabling the leader to translate complex AI capabilities into tangible business outcomes and enterprise-wide adoption.

RESPONSIBILITIES

Shape Enterprise Analytics Strategy: Develop and continuously refine the advanced analytics roadmap, ensuring alignment with business priorities and growth goals across local and national sales operations.

Lead AI/ML Product Innovation: Collaborate with data science and engineering teams to create, implement, and scale predictive and generative AI solutions that drive tangible business outcomes.

Team Leadership & Development: Guide, mentor, and grow senior Product Owners and Translators focused on analytics and AI initiatives; provide clear strategic direction and foster a high-performing, collaborative culture.

Executive Communication & Influence: Translate complex analytics into actionable insights for C-suite and senior leaders, securing alignment and executive sponsorship for key initiatives.

Governance & Stakeholder Management: Establish and maintain governance frameworks and executive cadences to prioritize roadmaps and ensure smooth delivery of quarterly product releases.

Portfolio Management: Oversee a suite of analytics products, balancing innovation with compliance and governance, while ensuring usability and integration across business intelligence platforms, CRM, and digital channels.

Drive Adoption & Value Realization: Ensure solutions are embedded into business processes and deliver measurable impact on performance and revenue.

QUALIFICATIONS

Education

• Bachelor's degree in an analytical field (e.g., Engineering, Mathematics, Computer Science, Business).
• MBA or another advanced degree from a top-tier educational institution (preferred)

Experience

• 8+ years in product management or analytics leadership roles, with proven experience delivering AI/ML-drivenproducts atscale.
• Prior experience in a corporate setting or leading a professional services company in an analytical or strategic role, such as Strategy, Finance, or Insights.
• Demonstrated success managing multiple product teams and driving enterprise-wide adoption of analytics solutions.
• 3+ years with Google Cloud

Professional Skills

• Strong problem-solving skills to take ambiguous challenges and develop structured frameworks for defining, analyzing, and solving them.
• Experience shaping enterprise strategies and working with senior leadership to drive alignment and investment.
• Ability to manage ambiguity and guide the organization toward clear and decisive action plans.
• High level of familiarity with digital technologies, including understanding of underlying data architectures, data requirements, and interdependencies between front-end, service layer, and back-end systems.
• Deep understanding of descriptive, predictive, and prescriptive analytics approaches and ability to educate business stakeholders on modeling techniques.
• Strong grasp of business value drivers and the relationship between modeling choices and business impact.
• Ability to establish a collaborative work environment that enables cross-functional teams to execute at a high level.
• Superb verbal, written, and interpersonal skills; fluency in interfacing with both technical and executive teams, and the ability to make complex analytics understandable and actionable.

Equal Opportunity Employer (EOE). We are committed to creating an inclusive environment for all employees and do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected characteristic.

Let's talk about benefits

Revolution Technologies is proud to offer some of the best rates in the market. Revolution is also pleased to provide a comprehensive benefits package including medical, dental, vision, short-term disability, access to a health savings account, tuition reimbursement, scholarship opportunities, 401k, life insurance, supplemental insurance, and paid time off.

Analytics Engineer / Power BI Developer

Hybrid, Employee role in Lewisville, TX

RedStream Technology is searching for an Analytics Engineer / Power BI Developer to join our client's team. The Analytics Engineer / Power BI Developer is responsible for translating Estimate Quality data into trusted, analytics-ready metrics and insights. This role sits at the intersection of data modeling, business metrics, and visualization, ensuring that Estimate Quality KPIs are clearly defined, consistently measured, and effectively communicated through Power BI dashboards for both operational teams and leadership.

This role partners closely with Product, Operations, and Data Platform teams to enable data-driven decision-making through high-quality analytics assets.

Key Responsibilities:

Estimate Quality Metrics & KPI Definition

• Define, document, and maintain Estimate Quality KPIs, including but not limited to: Estimate accuracy, Change request reduction, Cycle time, Process and compliance metrics
• Ensure KPI definitions are consistent, transparent, and aligned across teams.
• Act as a subject-matter expert on Estimate Quality metrics and their interpretation.

Analytics Engineering & Data Modeling

• Design and build analytics-ready datasets optimized for reporting and analysis.
• Develop and maintain semantic models that support scalable Power BI consumption.
• Apply best practices in analytical data modeling to ensure performance, accuracy, and reusability.

Power BI Reporting & Visualization

• Develop and maintain Power BI dashboards for operational monitoring and executive reporting.
• Create clear, intuitive visualizations that surface trends, risks, and improvement opportunities.
• Optimize Power BI models using DAX and performance tuning techniques.

Stakeholder Partnership & Enablement

• Partner with Product and Operations teams to translate business questions into actionable analytics.
• Support leadership reporting with reliable, timely, and well-governed insights.
• Ensure reporting assets are well-documented and easy to adopt across the organization.

Required Skills & Qualifications

• 4–7 years of experience in analytics engineering, BI development, or a similar analytics role.
• Advanced SQL skills with strong analytical data modeling experience.
• Deep Power BI expertise, including DAX, semantic modeling, and dashboard design.
• Proven experience designing KPIs and translating business metrics into analytics solutions.
• Experience supporting both operational and executive-level reporting.
• Strong communication skills with the ability to partner effectively with non-technical stakeholders.

Ready to shape the future of work?

At Genpact, we do not just adapt to change—we drive it. AI and digital innovation are redefining industries, and we are leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges.

If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that is shaping the future, this is your moment.

Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implementdata, technology, and AI to create tomorrow, today. Get to know us at and on LinkedIn, X, YouTube, and Facebook.

Inviting applications for the role of Senior Manager, Commercial/ Payer Analytics with Market access experience

We are seeking seasoned Senior Manager Experience in pharmaceutical and life sciences analytics, with proven expertise in Anonymous Patient-Level Data (APLD),Xponent, Plantrak & formulary access data. This leadership role demands a balance of strategic vision, deep technical acumen, and cross-functional influence. The ideal candidate will drive advanced analytics initiatives that support marketing and commercial excellence strategies, while leading global delivery teams and shaping stakeholder alignment across business units.

Responsibilities

• Lead strategic analytics initiatives across pharmaceutical, Value & Access, and healthcare payer/provider domains.
• Apply machine learning techniques to structured and unstructured data to enhance patient stratification, drive Sales and health outcomes.
• Develop analytical and statistical solutions to improve efficiency and drive innovations using Generative AI.
• Lead the development of U.S. market access strategies across therapeutic areas including formulary positioning, pricing, and reimbursement.
• Partner with global teams to align value messaging with regional payer and RAE/KAM expectations.
• Conduct and interpret advanced analytics to support decision-making on promotional strategies and effectiveness (e.g., ROI, A/B testing, campaign performance).
• Lead the Health System engagement by generating valuable insights for RAE/KAM teams.
• Able to handle complex statistical analysis to measure the effectiveness of certain campaigns and help in monitoring VCOs/KAM/NAD/NAM performance.
• Data Analysis: Leverage data analytics tools to analyze market trends, track sales performance, and provide actionable insights to sales teams.
• Design and execute test-control methodologies and statistical procedures to evaluate marketing campaign success.
• Lead predictive analytics projects including segmentation, profiling, and targeting strategies.
• Functionally and directionally lead an offshore analytics team while maintaining individual contributor responsibilities.
• Act as a strategic consultant to stakeholders, translating business needs into analytical solutions and actionable insights.
• Collaborate with data engineering and source data teams to address data quality and timing issues.

Qualifications we seek in you!

• Bachelors in Pharma/Technology/BE.
• Experience in U.S. healthcare analytics, including pharmaceuticals, biotech, or payer/provider systems.
• Machine learning and statistical modeling knowledge (e.g., XGBoost, Random Forest, NLP, deep learning).
• Knowledge on GenAI.
• Proficient in Python, SQL.
• Strong knowledge of U.S. healthcare datasets: Medicare/Medicaid, commercial claims, EMR systems, Sales & Commercial data sets in healthcare etc.
• Solid grasp of healthcare economics, policy frameworks, and regulatory constraints.

Preferred Qualifications/ Skills

• Knowledge of Spark, and data visualization tools (Power BI, Tableau) and R is preferred.
• M.Sc./M.Tech./M.Pharm
• Excellent MS Office Skills.
• Strong analytical, problem-solving skills, and technical aptitude.
• Expert verbal and written communication skills.
• High degree of energy & execution and client connect experience is a “Must”.
• Ability to work in a global environment.
• Proven work experience as a team leader or supervisor.
• Good analytical and problem-solving skills.
• Good accounting concepts.
• Good interpersonal skills.

Why join Genpact?

• Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation.
• Make an impact – Drive change for global enterprises and solve business challenges that matter.
• Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities.
• Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day.
• Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress.

Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up.

Let us build tomorrow together.

The approximate annual base compensation range for this position is $150,000 to $160,000. The actual offer, reflecting the total compensation package plus benefits, will be determined by a number of factors which include but are not limited to the applicant’s experience, knowledge, skills, and abilities; geographic location; and internal equity.

Location-based Roles Danbury, CT area candidates are eligible for this role only.”

Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.

Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

Manager of Analytics

LENDING | ORIGINATIONS STRATEGY | CREDIT PERFORMANCE | DECISION ANALYTICS

Chicago, IL (Hybrid)

$115,000 – $130,000 + Bonus + Benefits

Are you an analytically sharp professional looking to own core lending strategy?

A growing financial services organization is hiring a Manager of Analytics to help shape originations strategy, from who to market to, to who progresses through underwriting, to how performance is monitored across the lending lifecycle.

This is a high-impact, cross-functional role where you will work across Credit, Sales, Operations, and Leadership to deliver insights that directly influence approval strategy, risk performance, and profitability.

The Role

As Manager of Analytics, you will sit within the Credit & Analytics function and play a key role in evolving credit acquisition and decision strategy.

You will analyze applicant and portfolio performance, evaluate underwriting or rule changes, and assess how strategic adjustments impact approval rates, risk exposure, and unit economics.

Key Responsibilities

• Analyze acquisition and approval performance across the lending funnel
• Evaluate the impact of underwriting or policy changes on portfolio risk and profitability
• Monitor early risk indicators and performance trends across originated accounts
• Develop KPIs and dashboards to track originations health and commercial outcomes
• Partner with model development teams on scorecards and decision strategies
• Collaborate cross-functionally with Sales, Operations, and Legal on strategic initiatives
• Present insights and recommendations to senior leadership

Your Skills & Experience

You will thrive in this role if you combine strong technical analytics with a commercial understanding of lending economics.

Essential

• 3 to 7 years of experience in credit analytics, lending strategy, or risk analytics
• Strong SQL proficiency and experience working with large datasets
• Experience with BI tools such as Tableau or Power BI
• Clear understanding of lending economics and risk trade-offs
• Experience analyzing customer acquisition, segmentation, or lifecycle performance
• Strong communication and stakeholder management skills

Preferred

• Experience working with underwriting models or credit decision systems
• Python or R experience
• Background in consumer lending or financial services

Benefits

Competitive salary plus annual bonus

Comprehensive medical, dental, and vision coverage

Hybrid working model

401(k) match with immediate vesting

Clear progression within a growing, analytics-driven lending organization

Consultant, Commercial Analytics Manager

Summary

Our mid-sized, growing pharmaceutical client is seeking a Data Analyst professional who is highly motivated and a strategic individual responsible for supporting the commercial success of our clients pharmaceutical brands. This role combines advanced analytics, data visualization, and storytelling to generate actionable insights that influence brand strategy and leadership decision-making. The ideal candidate will bring strong analytical capabilities, expertise in pharmaceutical data, and a collaborative mindset to drive performance across the organization.

Responsibilities

• Translate complex analytics into clear, actionable insights.
• Develop compelling, data-driven narratives to support brand strategy and executive decisions.

Power BI Development

• Design, build, and maintain interactive, user-friendly dashboards to track brand and portfolio performance.
• Continuously enhance visualizations based on evolving business needs.

Ad-Hoc Analytics & Creative Problem Solving

• Conduct deep-dive analyses to support new brand launches and optimize in-line brands.
• Apply creative thinking to uncover insights and solve complex business questions.

Portfolio Performance Management

• Monitor and analyze KPIs across a portfolio of assets.
• Identify trends, risks, and opportunities to inform strategic decisions.

Vendor Management

• Coordinate with external analytics vendors to ensure timely, high-quality deliverables.

Cross-Functional Collaboration

• Partner closely with Marketing, Sales, Market Access, Forecasting, Finance, and Market Research teams to inform brand strategy and tactical execution.

Data Integrity & Industry Awareness

• Ensure data accuracy, consistency, and integrity across all reports and tools.
• Stay abreast of industry trends, competitive intelligence, and evolving analytical methodologies.

Qualifications/Experience:

• 3+ years of experience in pharmaceutical data science, brand analytics, or commercial analytics, with at least 2 years in the pharmaceutical or life sciences industry.
• Experience with specialty pharmacy data and related analytics.
• Strong command of pharma data sources (e.g., IQVIA, Symphony, Komodo, claims data, specialty pharmacy, field activity data).
• Proficiency in data visualization & analytics tools (Power BI, Tableau, Excel, SQL, Python, or SAS).
• Preferred: Experience in nephrology, rare disease, oncology, or specialty pharmacy distribution.
• Education: Bachelor’s degree in Business, Statistics, Economics, Life Sciences, Computer Science, or a related field.

Term & Start

• 12 month contract – possible option to extend.
• Start 2-3 weeks from an offer.
• Remote with ability to go onsite 1 X per week in Princeton, NJ
• Benefits available (Medical, Dental, Vision, 401k

Provide direction to the team on a daily basis

Collaborate with leadership to monitor and communicate key performance indicators and to understand the reasons behind the performance.

Actively analyze trends to find business opportunities and risks in order to optimize business outcomes.

Collaborate with the Enterprise Analytics team to ensure the business analytics team's processes and practices align with Enterprise standards and the Enterprise Analytics Strategy.

Guide the appropriate use of analytical concepts and statistical techniques: creation of hypotheses, test/experiment design, data analysis, summarization of findings, and delivery of actionable recommendations for business units

Provide end users with accurate, actionable and insightful information

Identify opportunities to generate and collect new data to improve insights

Leverage experience in data querying to ensure integrity and quality of the team's work

Guide the creation of effective data visualizations to tell a story - expose patterns, trends, opportunities and risks

Champion effective data governance within the business unit to improve data integrity, quality and understanding

Drive transformational change and analytics aptitude among leaders and users within the business unit to empower a more informed and effective business

Apply knowledge of data modeling techniques to enable self-service analytics and to balance the scope of the models against response times

Engage in planning to meet daily, quarterly, operational goals; plan and execute department level projects

Determine and develop best practices in relation to business procedures

Assure effective communications are maintained within and beyond the team; where appropriate involve senior level management and employees in plans, and advise on progress towards meeting goals

Job Specifications

Typically has the following skills or abilities:

Bachelor's degree in related field or equivalent experience

Minimum of 3 years of management experience with responsibilities for hiring, training, assigning work and managing performance of direct reports

Excellent leadership and visionary abilities

Ensures the appropriate use of descriptive statistical techniques to solve business problems

Approaches business challenges with creativity and an understanding of data to design analytical approaches that answer core business questions.

Preferably able to understand the use of predictive modeling and machine learning and to identify business problems where those can be applied

Regularly exercises discretion and independent judgment in the performance of his/her job duties

Working Conditions

The working environment is generally favorable lighting and temperature is adequate, and there are no hazardous or unpleasant conditions caused by noise, dust etc.

The above information on this description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job grade.

#LI-VISIONCARE

Compensation range for the role is listed below. Applicable salary ranges may differ across markets.Actual pay will be determined based on experience and other job-related factors permitted by law. As a part of the compensation package, this role may include eligible bonuses and commissions. For more information regarding VSP Vision benefits, please click here.

VSP Vision is an equal opportunity employer and gives consideration for employment to qualified applicants without regard to age, gender, race, color, religion, sex, national origin, disability or protected veteran status. We maintain a drug-free workplace and perform pre-employment substance abuse testing.

Unincorporated LA County Residents: Qualified Applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act, and any other similar laws.

Notice to Candidates: Fraud Alert - Fake Job Opportunity Solicitations Used to Collect Fees/Personal Information.

We have been made aware that fake job opportunities are being offered by individuals posing as VSP Vision and affiliate recruiters.Click hereto learn about our application process and what to watch for regarding false job opportunities.

As a regular part of doing business,VSPVision ("VSP")collects many different types ofpersonal information, including protected health information, about ouraudiences, includingmembers, doctors,clients, brokers, business partners,andemployees. VSP Vision employees will have access to this sensitive personal information and are subject to follow Information Security and Privacy Policies.

How you move is why we're here. Now more than ever.

Get back to what you need and love to do. The possibilities are endless... Now more than ever, our guiding principles are helping us in our search for exceptional talent - candidates who align with our unique workplace culture and who want to maximize the abundant opportunities for growth and success. If this describes you then let's talk! HSS is consistently among the top-ranked hospitals for orthopedics and rheumatology by U.S. News & World Report. As a recipient of the Magnet Award for Nursing Excellence, HSS was the first hospital in New York City to receive the distinguished designation. Whether you are early in your career or an expert in your field, you will find HSS an innovative, supportive and inclusive environment.

Working with colleagues who love what they do and are deeply committed to our Mission, you too can be part of our transformation across the enterprise.

Emp Status: Regular Full Time

Work Shift: Day (United States of America)

Compensation Range: $128,500.00 - $196,375.00. In addition, this position will be eligible for additional benefits consistent with the role. The salary of the finalist selected for this role will be determined based on various factors, including but not limited to: scope of role, level of experience, education, accomplishments, internal equity, budget, and subject to Fair Market Value evaluation. The hiring range listed is a good faith determination of potential compensation at the time of this job advertisement and may be modified in the future.

The Hospital for Special Surgery Data & Analytics team is seeking a Director with a dedicated focus on supporting the Payer Strategy & Contracting function. In this role, you will report into the Data & Analytics team while serving as the primary data partner to leaders and team members in Payer Strategy. You will be responsible for translating business priorities into data-driven solutions, serving as a subject matter expert, driving automation, and delivering reporting, analytics, and insights that enable payer strategy and contracting initiatives and negotiations.

• Work closely with the Contracting team to provide analytical support for all contracting efforts, including payer contracting, bundled payment contracting, pay-for-performance contracting, and other emerging reimbursement methodologies.
• Create and maintain models and data products to evaluate the financial success and impact of new contracts, opportunities, and policy changes, building automated processes that can be reused and scaled across multiple contracts and scenarios.
• Partner with the Payer Strategy & Contracting team to drive automation design and manage automated reporting solutions, transitioning existing manual processes into scalable, repeatable workflows within the enterprise data lakehouse.
• Collaborate across the Data & Analytics team to align payer strategy data needs with the broader enterprise data strategy.
• Serve as a subject matter expert in payer strategy analytics, acting as the primary liaison between the Payer Strategy & Contracting team and the Data & Analytics organization.
• Mentor junior analysts, building technical and analytical capabilities while fostering knowledge of payer strategy and contracting.

• Bachelors degree in Data Science, Finance, Economics, Health Administration, or related field (Masters preferred).
• 7+ years Provider/Payer contracting experience.
• Strong understanding of payer contracting concepts, reimbursement methodologies, and healthcare financial drivers.
• Advanced experience with APR-DRG, MS-DRG, Ambulatory Surgery Center groupers, APC, APG, and RBRVS reimbursement methodologies.
• Proficiency in SQL and experience working with enterprise data platforms.
• Demonstrated ability to automate reporting and analytic workflows.
• Knowledge of hospital operations, health/insurance benefit plans, revenue cycle claims systems and complex reimbursement methodologies.
• Proven track record of developing models to evaluate financial impact of contracts, policy changes, or new opportunities.
• Strong communication skills with the ability to translate complex analytics into clear, actionable insights for non-technical stakeholders.
• Experience mentoring or managing analysts, with a focus on developing both technical and business acumen.
• Comfort working cross-functionally particularly with finance, contracting, and technical data teams.

Hospital for Special Surgery is the world's leading academic medical center focused on musculoskeletal care. You will sit at the nexus of data science, clinical excellence, and strategic innovationhelping shape initiatives that improve patient outcomes on a global scale, all within a collaborative, flexible, and inclusive work environment.

Non-Discrimination Policy: Hospital for Special Surgery is committed to providing high quality care and skilled, compassionate, reliable service to our community in a safe and healing environment. Consistent with this commitment, Hospital for Special Surgery provides care, admits, and treats patients and provides all services without regard to age, race, color, creed, ethnicity, religion, national origin, culture, language, physical or mental disability, socioeconomic status, veteran or military status, marital status, sex, sexual orientation, gender identity or expression, or any other basis prohibited by federal, state, or local law or by accreditation standards.

Are you obsessed with turning marketplace data into clear, confident decisions? This is a high-impact opportunity to own retail media and marketplace analytics across major platforms including Amazon, Walmart, and Target. You’ll sit at the center of strategy, partnering with media, content, and external agencies to connect paid and organic performance to real commercial outcomes.

In this role, you will build decision-ready reporting, diagnose performance drivers, and define the test-and-learn agenda that improves ROAS, TACOS, conversion rates, and profitability across thousands of SKUs. You’ll report into the digital strategy leadership team and be the go-to expert for marketplace analytics and insight generation.

What You’ll Do:

• Build and maintain weekly dashboards that track ROAS, TACOS/ACOS, CVR, new-to-brand share of voice, contribution margins, and other key marketplace KPIs by category and SKU.
• Create SKU/ASIN-level scorecards that connect ad spend, organic rank, PDP health, and inventory to commercial results, clearly flagging where to scale, hold, or pull back.
• Define guardrail metrics and early warning signals to quickly detect performance issues and drive corrective actions with cross-functional partners.
• Design and run structured test-and-learn programs, including holdouts, pre/post, and incrementality analyses using tools such as Amazon Marketing Cloud and Walmart Scintilla.
• Measure the impact of PDP content elements — titles, bullets, A+ content, imagery, video, and variation strategies — on search rank and conversion, and prioritize content updates by ROI.
• Deliver merchandising and purchase order insights through velocity, seasonality, price elasticity, and attachment analyses to guide assortment and inventory decisions.
• Own and optimize the marketplace analytics stack, leveraging platforms like Amazon Brand Analytics, Walmart Luminate, Helium 10, Jungle Scout, DataHawk, and BI tools.
• Partner closely with agencies to harmonize reporting, define SLAs, and ensure consistent, actionable performance metrics across channels.

What You Bring:

• 5–7+ years in marketplace or retail media analytics, with deep experience in Amazon and exposure to Walmart and Target ecosystems.
• Proven track record transforming complex marketplace data into clear, actionable recommendations at scale across large SKU counts.
• Hands-on expertise with Amazon Brand Analytics, Amazon Marketing Cloud, Walmart Luminate/Scintilla, and marketplace research tools such as Helium 10, Jungle Scout, and DataHawk.
• Advanced proficiency in Excel and business intelligence/reporting platforms.
• Experience designing and interpreting rigorous tests and incrementality frameworks, and converting findings into practical playbooks.
• Exceptional communication skills, including the ability to synthesize complex insights into succinct, executive-ready narratives.
• Bachelor’s degree in Analytics, Business, Marketing, or a related quantitative or commercial field.

Bonus Points For:

• Background in retail pricing, packaging, and assortment analytics.
• Familiarity with SQL and experience defining agency reporting standards and SLAs.
• Knowledge of PIM/DAM systems and content health scoring methodologies.

If you thrive at the intersection of data, media, and merchandising and want to shape the growth strategy for major marketplaces, we’d love to hear from you.

Staff Data Scientist – Sales Analytics

Location: San Francisco (Hybrid)

Salary: $200–250k base + RSUs

This fast-growing Series E AI SaaS company is redefining how modern engineering teams build and deploy applications. We’re looking for a Staff Data Scientist to drive Sales and Go-to-Market (GTM) analytics, applying advanced modeling and experimentation to accelerate revenue growth and optimize the full sales funnel.

About the Role

As the senior data scientist supporting Sales and GTM, you will combine statistical modeling, experimentation, and advanced analytics to inform strategy and guide decision-making across our revenue organization. Your work will help leadership understand pipeline health, predict outcomes, and identify the levers that unlock sustainable growth.

Key Responsibilities

• Model the Business: Build forecasting and propensity models for pipeline generation, conversion rates, and revenue projections.
• Optimize the Sales Funnel: Analyze lead scoring, opportunity progression, and deal velocity to recommend improvements in acquisition, qualification, and close rates.
• Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of pricing, incentives, and campaign initiatives.
• Advanced Analytics for GTM: Apply machine learning and statistical techniques to segment accounts, predict churn/expansion, and identify high-value prospects.
• Cross-Functional Partnership: Work closely with Sales, Marketing, RevOps, and Product to influence GTM strategy and ensure data-driven decisions.
• Data Infrastructure Collaboration: Partner with Analytics Engineering to define data requirements, ensure data quality, and enable self-serve reporting.
• Strategic Insights: Present findings to executive leadership, translating complex analyses into actionable recommendations.

About You

• Experience: 6+ years in data science or advanced analytics roles, with significant time spent in B2B SaaS or developer tools environments.
• Technical Depth: Expert in SQL and proficient in Python or R for statistical modeling, forecasting, and machine learning.
• Domain Knowledge: Strong understanding of sales analytics, revenue operations, and product-led growth (PLG) motions.
• Analytical Rigor: Skilled in experimentation design, causal inference, and building predictive models that influence GTM strategy.
• Communication: Exceptional ability to tell a clear story with data and influence senior stakeholders across technical and business teams.
• Business Impact: Proven record of driving measurable improvements in pipeline efficiency, conversion rates, or revenue outcomes.

• Degree in Chemistry, Biochemistry, Immunology, Biology, or a related field.
• Master’s with 2+ years of experience or BS with 4+ years of experience.
• Strong understanding of analytical method development, including molecular and cell based assays.
• Demonstrated ability to design, execute, and analyze experiments with excellent communication and problem solving skills.
  
  

• Develop and optimize analytical methods for in process testing, product release, and product characterization, including qPCR, ddPCR, ELISA, and ELISpot.
• Lead method development, qualification, validation, and tech transfer activities with CDMOs and external QC partners.
• Troubleshoot analytical challenges and ensure accurate documentation in electronic lab notebooks.
• Collaborate with CMC leadership on regulatory submissions and represent Analytical Development in internal and external project meetings.