Senior Product and Growth Analyst

Jobtailor; Waltham (MA); On-site; USD 120,000 - 170,000; Full time

Job summary

Jobtailor is seeking a data-driven Senior Product Analytics professional in Massachusetts to own end-to-end analytics initiatives. You will partner with Product, Engineering, and Marketing to drive growth, investigate metric shifts, and translate findings into strategic narratives.

You will apply advanced SQL, Python, and BI tools to measure impact on retention and LTV, and lead experiment design and interpretation for executive leadership.

Qualifications

• 3+ years in a highly quantitative analytical role in SaaS subscription businesses.
• Expert-level SQL with high proficiency in data exploration and modeling.
• 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.
• Ability to translate complex statistical analysis into executive narratives.

Responsibilities

• Partner with cross-functional Product, Engineering, and Marketing teams to lead measurable growth initiatives.
• Investigate metric changes to identify bugs, UX friction, and trust barriers; 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 through causal inference and rollout.
• Analyze feature impacts on user segments, behavior, retention, and LTV.
• Partner with FP&A to validate growth forecasts and connect product outcomes to revenue and P&L impact.
• Model analytical best practices, AI-enhanced workflows, data storytelling, and statistical rigor.
• Own analytical initiatives end-to-end, gathering requirements and coordinating with Data Science and BI to deliver solutions.

Skills

SQL

GA4/Amplitude

A/B testing

Snowflake

GitHub

AI tools

Causal inference

Python

Tableau/Power BI

Data storytelling

Education

Bachelor's degree in analytics, business, math, statistics, economics or computer science

Master's degree

Tools

Cursor/ Claude Code (AI workflow tools)

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.