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 – 170k/yr
Hybrid7+ YOEData Analytics
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).
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