This job is closed
Applications are no longer available for this announcement. Explore current related opportunities below.
Job description
Partner with cross-functional Product, Engineering, and Marketing teams to lead measurable, well-instrumented growth initiatives aligned with enterprise objectives
Investigate metric changes to identify technical bugs, UX friction, and trust barriers, then translate findings into product-strategy narratives
Design and standardize analytical frameworks for evaluating product growth and user behavior
Lead A/B experimentation from power analysis and hypothesis design through causal inference and rollout
Analyze feature impacts on user segments, behavior, retention, and Lifetime Value
Partner with FP&A to validate growth forecasts and connect product outcomes to revenue, LTV, and segment-level P&L impact
Model analytical best practices, AI-enhanced workflows, data storytelling, and statistical rigor
Own analytical initiatives end-to-end, gathering requirements, defining key metrics, and coordinating with Data Science and BI to deliver solutions
Requirements
3+ years of experience in a highly quantitative analytical role, ideally in B2B or B2C SaaS or subscription businesses
Expert-level SQL
Strong product analytics experience with GA4, Amplitude, or similar tools
A/B testing experience with Optimizely, Statsig, or similar tools
Experience with cloud data warehouses such as Snowflake
Experience collaborating via version control, including GitHub
Experience using AI workflow tools such as Cursor, Claude Code, or similar
Solid understanding of p-values, confidence intervals, and causal inference
Proficiency with Python
Proficiency with dashboarding tools such as Tableau or Power BI is recommended
Ability to translate complex statistical analysis and analytical frameworks into high-impact narratives for senior and executive leadership
Bachelor’s degree, preferably in analytics, business, math, statistics, economics, or computer science
Master’s degree is a plus
Core Competencies
Demonstrates expertise in product analytics, A/B testing, and statistical analysis to drive growth initiatives and connect product outcomes to business metrics. Proficient in SQL, Python, and analytical tools to deliver data-driven insights and narratives for leadership.
#J-18808-Ljbffr
Worksite address
waltham, MA, 02254, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.