Sr. Data Analyst (Product Analytics)

Accountabilities:

• • Partner with Product, Marketing, and Leadership teams to identify opportunities, influence product strategy, and support data-driven business decisions.
  • Lead end-to-end product and growth analyses covering funnels, cohorts, retention, segmentation, monetization, user behavior, and experimentation.
  • Define success metrics and assess the impact of new features, experiments, and broader product initiatives.
  • Build dashboards, recurring reports, and self-service analytics that make insights accessible to stakeholders across the organization.
  • Collaborate with Engineering to design, implement, validate, and maintain product event tracking within React-based interfaces.
  • Identify, investigate, and resolve tracking issues that could affect data quality and analytical reliability.
  • Combine data from multiple sources, including product analytics, advertising platforms, payment systems, and CRM systems, to develop a unified view of business performance.
  • Document key metrics, tracking plans, and data definitions to establish consistent understanding across teams.
  • Contribute to improvements in data pipelines, storage, and analytical frameworks where needed.

  Requirements:

  • Bachelor's degree or higher in a relevant field, or equivalent professional experience.
  • 3+ years of experience in data science, data analytics, or another quantitative discipline, with a demonstrated record of delivering analytics projects.
  • Strong experience in product analytics, experimentation, funnel analysis, retention, segmentation, and user behavior analysis.
  • Experience with event-tracking instrumentation and close collaboration with Engineering teams to validate and maintain analytics implementations.
  • Experience working with real-time and historical data, including data cleaning, processing, analysis, modeling, insight generation, and execution strategy.
  • Strong proficiency with SQL and experience with statistical programming or analytical tools such as R or Python.
  • Experience with product and marketing analytics platforms such as Amplitude and Google Analytics.
  • Strong analytical, quantitative, and problem-solving skills with excellent attention to detail.
  • Ability to communicate complex findings clearly through data visualization and compelling storytelling to both technical and non-technical audiences.
  • Strong ownership, initiative, and follow-through, with the ability to thrive in a startup or fast-paced environment.
  • Experience improving data pipelines, data storage, or analytical frameworks is preferred.
  • Familiarity with event-tracking technologies such as JavaScript or Google Tag Manager is a plus.

  Benefits:

  • Compensation and benefits details were not specified in the source job description.
  • Opportunity to influence product strategy, growth, and customer experience through data.
  • Cross-functional collaboration with Product, Engineering, Design, Marketing, and Leadership teams.
  • Exposure to product analytics, experimentation, growth analytics, and modern data infrastructure.
  • Opportunity to improve analytics foundations, event tracking, and organizational data accessibility.
  • Fast-paced environment with significant ownership and opportunities to contribute to business decisions.