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Lead Data Analyst, Product

Leads product analytics for membership pod by analyzing user journeys, running A/B tests, building dbt models and dashboards to influence product strategy and drive retention. Requires 7+ years in analytics/BI, SQL/Python proficiency, and strong product sense.

155k – 170kNew York, NYData AnalyticsHybrid7+ YOE

About the role

Responsibilities

  • Act as a core product thinker within the membership pod. Analyze user journeys to identify friction points and proactively recommend product changes that drive retention and LTV.
  • Become embedded with the product, design and engineering teams to define key metrics and answer important questions and influence product roadmap.
  • Conduct analysis and opportunity sizing to find opportunities for improvement and turn the hypothesis into actionable and well-designed experiments (A/B Testing).
  • Identify KPIs and develop dashboards to monitor the metrics, the progress we’ve made towards our goals and the key levers.
  • Communicate results through written and verbal presentations, influence stakeholders, and be the trusted thought partner for the product, design and engineering.
  • Build and maintain the dbt transformation layer and semantic models to ensure a single source of truth for membership KPIs.
  • Develop agentic analytics workflows to automate trend detection, anomaly alerting, and standard reporting allowing you to spend more time on deep-dive strategic analysis.
  • Lend your expertise to help your teammates and coworkers to improve processes and performance.

Requirements

  • Bachelor’s degree in Business, Finance, Economics, Statistics, or equivalent quantitative field.
  • 7 years experience in Business Intelligence, Analytics, Data Science or quantitative analysis related fields.
  • Experience with SQL and scripting in one or more languages (Python or R) for automation and data manipulation.
  • Ability to synthesize often ambiguous problems into a hypothesis-driven data investigation to weave a story together.
  • Ability to then present the story employing data visualization to improve stakeholder understanding and steer strategic initiatives.
  • Ability to communicate qualitative and quantitative results in verbal and written communications for technical, business and executive audiences.
  • Experience translating user behavior data into specific product improvements.
  • Demonstrated capacity to manage collaborative relationships and assert influence without authority, particularly when working with product managers, design, marketing and engineering teams.
  • Ability to succeed in a fast-paced and often ambiguous work environment.
  • Ability to thrive in a remote and sometimes ambiguous environment.

Compensation

  • Anticipated annual base salary: $155,000 - $170,000 (does not include other compensation components or benefits).

Skills

SQLPythonRdbtA/B TestingData VisualizationDashboardsData ModelingStatistical AnalysisAnalytics Workflows

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