Manager of Product & Data Analytics

Constant Contact • Waltham, MA

1d • $109,200 - $136,500 • Hybrid

About The Position

Constant Contact is seeking a Manager of Product Data & Analytics to lead, mentor, and empower a team of product analysts. This leader will help the company understand the drivers behind product performance and build strategic consensus on what actions to take. The role partners with leaders across Product, Design, Engineering, Growth, Marketing, and Finance to diagnose performance, evaluate launches, and shape the product roadmap.

The manager will establish a culture of analytical rigor and ensure the team frames the right questions, investigates data carefully, challenges obvious but unsupported conclusions, and turns evidence into clear recommendations. The role includes team development, prioritization of the analytics backlog, governance of trusted product metrics, and communication of findings to senior stakeholders. It also promotes AI-enabled analytical workflows while requiring rigorous validation of generated code, logic, and results.

Constant Contact operates as a hybrid workforce, combining remote work with access to office locations for in-person collaboration, training, and socializing. The stated salary range is $109,200–$136,500 USD. The compensation package includes health and welfare benefits, paid leave, and may include additional on-target commission pay or a bonus for some roles.

Requirements

• At least 6 years of experience in product analytics, growth analytics, or decision science.
• At least 2 years of direct people management or formal team leadership experience in a technology, subscription, SMB, or consumer-facing business.
• Demonstrated success recruiting, mentoring, and retaining talent, and developing analysts' statistical reasoning, product sense, and executive presence.
• Strong command of activation, engagement, conversion, retention, churn, monetization, and LTV metrics, including the ability to diagnose root causes of metric changes.
• Strong foundation in experimentation, cohort analysis, hypothesis testing, sample sizing, and causal inference.
• High proficiency in SQL and cloud data warehouses such as Snowflake, BigQuery, or Databricks.
• Working knowledge of Python or R for statistical analysis.
• Interest in using modern AI tools to improve productivity, combined with the judgment to audit AI-generated code and assumptions.
• Strong product intuition and business acumen, including understanding the business and financial implications of user behavior.
• Excellent verbal, written, and visual communication skills; able to challenge assumptions and present complex findings to VP and C-suite stakeholders.

Nice To Haves

• Experience with experimentation platforms such as Statsig or Optimizely and behavioral analytics platforms such as Amplitude, Mixpanel, or Google Analytics.
• Experience with growth or acquisition analytics, lifecycle marketing, or dbt/modern metric transformation layers.
• Educational background in Economics, Statistics, Computer Science, Mathematics, Psychology, or a related quantitative field.
• Experience in SMB technology, email or marketing technology platforms, or AI-powered product experiences.
• Familiarity with AI tools such as Claude Code, ChatGPT, GitHub Copilot, or Cursor.

Responsibilities

• Build, coach, and mentor a high-performing team of product analysts, supporting high agency, intellectual curiosity, continuous learning, and career development.
• Set standards for analytical quality, business impact, and data storytelling.
• Partner with Product, Engineering, and business leaders to translate strategic questions into analytical plans.
• Manage the analytics backlog, balancing reactive requests with proactive investigations and prioritizing high-leverage opportunities.
• Guide investigations of changes in activation, engagement, conversion, retention, and monetization to identify root causes and distinguish product performance from acquisition shifts, seasonality, and other confounding factors.
• Promote statistical and methodological rigor, including attention to Simpson's paradox, selection effects, survivorship bias, denominator changes, and instrumentation issues.
• Champion causal inference, rigorous experimental design, A/B testing, and appropriate statistical standards for product evaluations.
• Oversee trusted KPI definitions and governance, leading indicators, metric trees, and customer segments.
• Partner with Engineering and Product to establish telemetry and telemetry standards before products ship.
• Ensure complex analyses are communicated through clear visuals, intuitive explanations, and actionable recommendations.
• Represent analytical findings in leadership discussions, including when evidence challenges prevailing assumptions.
• Promote AI-enabled workflows, advanced SQL/Python, and automation of repeatable analytical work while ensuring generated code, logic, and output are rigorously validated.

Benefits

• Health and welfare benefits
• Paid leave
• Generous paid time off policy
• Competitive benefits package supporting employee and family health and well-being
• Professional development opportunities
• Potential additional on-target commission pay or bonus for some roles

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed