Senior Product Data Scientist

BetterUp; All (MO); Hybrid; USD 162,000 - 223,000; Full time

Benefits offered by this job

Access to BetterUp coaching for you and a family member

Competitive compensation plan with opportunities for advancement

Medical, dental, and vision insurance

Flexible paid time off

Learning and Development stipend

Company-wide Summer & Winter breaks

401(k) self-contribution

Job summary

A leading coaching platform is seeking a Mid-Senior Level Product Analyst to drive data-driven strategies. You will collaborate closely with Product squads and Engineering to ensure effective measurement and insight generation using GenAI tools. This hybrid position offers competitive compensation, comprehensive benefits, and opportunities for professional development. Ideal candidates have extensive experience in SQL and B2B SaaS analytics. Join us to transform user experiences and lead impactful product decisions.

Qualifications

• 5+ years experience in SQL with strong statistical analysis skills.
• Proven experience in B2B SaaS product analytics.
• Curiosity and hands-on experience with GenAI applications in analytics.

Responsibilities

• Partner with Product squads for measurement strategies and success metrics.
• Collaborate with Engineering to instrument new product features.
• Leverage GenAI tools for insight generation and automated analysis.
• Champion data literacy and AI-powered analytics among product teams.

Skills

SQL

Statistical analysis

GenAI applications in analytics

Communication

Strategic thinking

Builder mentality

Tools

LookML

Python

Amplitude

Job description

Overview

Let’s face it, a company whose mission is human transformation better have some fresh thinking about the employer/employee relationship. You’ll notice it from the first interview. Even our candidate experience is different. When you get an offer from us, you get a personal BetterUp Coach, a development plan, a trained and coached manager, the most amazing team you’ve ever met (each with their own BetterUp Coach), and most importantly, work that matters.

This creates a remarkably focused and fulfilling work experience. It’s not for everyone, but for people with fire in their belly it’s a game‑changing, career‑defining, soul‑lifting move.

We are a hybrid company focused on in‑person collaboration when necessary. Employees are expected to work from one of our office hubs—Raleigh, NC; Austin, TX; Chicago, IL; Minneapolis, MN; New York City, NY; San Francisco, CA; or the Washington, DC metro area—at least two days per week.

What You’ll Do

• Partner with Product squads to design measurement strategies, define success metrics, and ensure data‑driven decision making across the product development lifecycle.
• Collaborate with Engineering to instrument new product features and build datasets that enable deep user behavior analysis and product performance monitoring.
• Leverage GenAI tools to accelerate insight generation, automate routine analyses, and explore innovative approaches to understanding unstructured user feedback and behavioral patterns.
• Champion data literacy and AI‑powered analytics across product teams, training partners on traditional self‑service tools and emerging GenAI capabilities for hypothesis generation and insight discovery.
• Own and evolve product analytics infrastructure in Looker, building self‑serve dashboards, defining key dimensions, and ensuring data quality across product metrics.
• Design and analyze A/B tests and product experiments, translating results into clear recommendations for product optimization and feature development.
• Conduct deep‑drop analyses to understand user journeys, identify friction points, and uncover growth opportunities that directly inform product roadmaps.
• Build standardized KPI frameworks and automated reporting to monitor product ecosystem health, user engagement, and feature adoption.
• Translate complex analytical findings into compelling narratives for cross‑functional stakeholders and executive leadership.

Qualifications

• 5+ years in SQL with strong statistical analysis coding/programming skills. LookML and Python experience preferred.
• Proven experience in B2B SaaS product analytics: user behavior analysis, funnel optimization, cohort analysis; hands‑on with tools like Amplitude and experimentation platforms.
• Curiosity and hands‑on experience with GenAI applications in analytics—prompt engineering, LLM‑powered data exploration, or automated insight generation.
• Strategic thinking: ability to connect data insights to business outcomes, prioritize effectively in fast‑moving environments.
• Exceptional communication: skilled at distilling complex analytical work into clear, actionable recommendations for both technical and non‑technical audiences.
• Builder mentality: self‑starter with experience scaling analytics capabilities, defining measurement frameworks, and establishing best practices in growing organizations.

Benefits

• Access to BetterUp coaching for you and a friend or family member.
• Competitive compensation plan with opportunities for advancement.
• Medical, dental, and vision insurance.
• Flexible paid time off.
• All federal/statutory holidays observed.
• 4 BetterUp Inner Workdays and 5 Volunteer Days per year.
• Learning and Development stipend.
• Company‑wide Summer & Winter breaks.
• Year‑round charitable contribution of your choice on behalf of BetterUp.
• 401(k) self‑contribution.

Compensation

Base salary is determined by job‑related experience, education/training, residence location, and market indicators. The current salary range for this role is:

• $186,000 – $256,000: New York City and San Francisco
• $162,000 – $223,000: All other locations

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Engineering and Information Technology

Industries

Professional Training and Coaching

Equal Opportunity Statement

BetterUp Inc. provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, disability, genetics, gender, sexual orientation, age, marital status, veteran status. We comply with all applicable state and local nondiscrimination laws in every location where we have facilities. This policy applies to all employment terms and conditions.

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