Data Analyst

Solid Starts helps families confidently feed their babies and raise happy eaters through its app and website. The Data Analyst will work with the CTO and leadership team to define metrics, build reliable PostHog dashboards, analyze product and business performance, and support experimentation and A/B testing. The role also involves communicating insights, improving data quality, and providing decision support.

Responsibilities:

• Build and maintain clear, trustworthy dashboards in PostHog for product, operational, and business performance
• Partner with leadership to define key metrics and ensure they are calculated and interpreted consistently
• Create self-service reporting that allows teams to answer recurring questions without requiring one-off analysis
• Document metric definitions, filters, assumptions, and known limitations
• Regularly review dashboards to ensure they remain accurate, relevant, and understandable
• Analyze user acquisition, activation, engagement, retention, conversion, and other important behaviors
• Use funnels, cohorts, segmentation, journeys, and retention analysis to identify opportunities and areas of concern
• Investigate changes in performance and distinguish meaningful signals from normal variation
• Combine product and business context to explain what is happening, why it may be happening, and what the company should consider doing next
• Perform focused analyses in response to leadership, Product, Growth, Content, and CX questions
• Partner with Product, the CTO, and other stakeholders to translate experiment goals and hypotheses into clear test plans
• Define primary metrics, secondary metrics, guardrail metrics, success criteria, and relevant segments before A/B tests are launched
• Validate PostHog experiment configuration, event instrumentation, audience definitions, and data quality before and during each test
• Monitor active experiments for data-quality issues and analyze completed results, including practical significance, uncertainty, and meaningful segment differences
• Communicate conclusions and recommendations clearly, document learnings, and help teams decide whether to launch, iterate, or run follow-up tests
• Work directly with the CTO and leadership team to translate strategic questions into measurable analyses
• Present findings through concise written summaries, visualizations, and recommendations
• Clearly communicate uncertainty, data limitations, assumptions, and alternative interpretations
• Proactively identify trends, anomalies, and opportunities that may not yet have been requested
• Help teams define measurable outcomes before launching new initiatives or features
• Validate events, properties, filters, and definitions before using them in decision-making
• Partner with engineers when instrumentation gaps or data-quality issues are discovered
• Establish repeatable analytical practices and reduce conflicting interpretations of company metrics
• Maintain organized, reusable queries and analyses rather than relying solely on one-off reports
• Inventory existing PostHog data, dashboards, events, and metric definitions
• Align with leadership on a focused set of company and product KPIs
• Audit and improve the executive-level dashboard that leadership trusts and regularly uses
• Deliver actionable analysis of a meaningful product or business question
• Establish a recurring process for surfacing trends, anomalies, and recommended follow-up analyses
• Support an A/B test in PostHog from pre-launch metric definition through results analysis and a clear recommendation

Requirements:

• Professional experience analyzing product, customer, or business data
• Hands-on experience using PostHog for dashboards and behavioral analysis
• Ability to turn ambiguous business questions into structured analytical work
• Strong understanding of funnels, cohorts, segmentation, retention, and product metrics
• Hands-on experience supporting A/B tests or controlled experiments end to end, including pre-launch metric definition, experiment setup validation, and results analysis
• Ability to create clear dashboards and explain findings to non-technical audiences
• Strong attention to data quality and metric consistency
• Excellent written and verbal communication
• Working proficiency with SQL
• Experience analyzing subscription, consumer, mobile, or web products
• Experience partnering directly with company leadership
• Familiarity with event instrumentation and product-analytics taxonomies
• Experience with visualization or business-intelligence tools beyond PostHog