The Conversion Analyst will own the end to end analytics that drive customer conversion, funnel optimization, and revenue growth. This role is deeply data driven, with a technical collaboration with DBA, ETL developers, and as well as the business process owners.
Key Responsibilities
- Design and maintain conversion focused data models that support analytics, experimentation, and attribution.
- Implement data quality checks, monitoring, and documentation across environments.
- General understanding of SQL bundling queries (no specific version).
Analytics & Conversion Insights
- Analyze customer journeys, funnel performance, and behavioral patterns to identify conversion bottlenecks.
- Conduct A/B test analysis and partner with product teams to evaluate experiment impact.
- Translate complex data into clear recommendations that influence product and business strategy.
Cross Functional Collaboration
- Work closely with project manager, business, and technical teams to define KPIs and measurement frameworks.
- Present insights to leadership and drive alignment on conversion optimization initiatives.
- Will be identifying data health and conversion risks.
Required Qualifications
- 4+ years in analytics, data engineering, or BI roles with a focus on conversion, data health, or data clean up.
- Strong understanding of data modeling.
- Experience with BI tools (Looker, Tableau, Power BI, Mode, etc.).
- Experience working with ETL developers and DBAs.
- Ability to translate data into actionable insights and communicate them to non technical stakeholders.
- Strong communication skills and presenting skills.
Preferred Qualifications
- Familiarity with Department of Labor Data Model, process, and regulations.
- Experience with public sector data.
- Experience with system integration, specifically data validation modeling.