Manager, Analytics & Strategy

Role Overview

• Partner with Product and cross-functional leaders to define core product metrics/KPIs and measurement strategy (activation, engagement, retention, conversion, expansion).
• Own recurring product performance reporting for weekly and monthly business reviews, translating results into clear narratives and decisions.
• Build and maintain dashboards that surface trends, anomalies, and leading indicators; ensure metric definitions and instrumentation remain accurate and consistent.
• Investigate performance changes, identify root causes, and communicate implications, tradeoffs, and actionable recommendations to inform product strategy and roadmap.
• Own metric definitions and governance to ensure consistency across teams and reporting.
• Implement data quality checks and monitoring for key datasets and KPIs.
• Document metric logic, business rules, and data lineage for core reporting models.
• Identify data gaps and instrumentation needs and drive resolution with cross-functional partners.
• Own the semantic layer that joins data, applies business logic, and produces curated datasets and metrics for analysis and dashboards.
• Build and maintain analytics-ready data models that enable scalable insights and self-serve reporting (with the support of other Sr. Data Analyst).
• Align with Engineering on data contracts, table availability, freshness expectations, and quality standards.
• Partner with Engineering on a clear data ownership model, where Engineering is responsible for the pipelines and infrastructure that move raw data into the data lake and warehouse.
• Partner with product, marketing, lifecycle, sales, and leadership to translate insights into actions and priorities.
• Support segmentation, measurement plans, and experiment evaluation.
• Surface churn risk and expansion signals using usage patterns and lightweight scoring approaches.
• Deliver executive-ready readouts that connect product performance to decisions, tradeoffs, and next steps.

Requirements

• 8+ years of experience in product analytics, business intelligence, or a related analytics and insights role.
• Proven experience owning product performance reporting and translating trends into business actions.
• Strong background working with product usage data tied to retention and revenue outcomes.
• Proficiency in SQL and Excel; experience using Databricks and BI tools.
• Demonstrated ownership of data quality, metric governance, and trusted reporting layers.
• Strong communicator able to synthesize complex data into clear narratives and recommendations.
• Comfortable operating in a fast-paced, cross-functional environment.
• Experience owning a semantic layer or analytics modeling layer (for example dbt, LookML, or metric layers).
• Experience with experimentation measurement, cohort analysis, or lifecycle analytics.
• Familiarity with lightweight scoring approaches for churn risk and expansion readiness.

Tech Stack

• SQL

Benefits

• low deductible health plans
• flexible time away
• family leave programs