Job Description
Join InnovateMetrics Analytics as a Senior Data Analyst and transform complex data into strategic business intelligence. We're seeking a detail-oriented professional to drive data-driven decision-making in our fast-paced tech environment. You'll collaborate with cross-functional teams to uncover actionable insights that fuel our growth initiatives. Our Los Angeles headquarters offers a dynamic culture where your analytical skills will directly impact product development and market strategy. Enjoy competitive benefits, flexible work arrangements, and opportunities for professional growth in one of America's most vibrant tech hubs.
Responsibilities
- Design and implement robust data pipelines to collect, clean, and transform structured/unstructured datasets
- Develop interactive dashboards using Tableau/Power BI to visualize KPIs and performance metrics
- Conduct statistical analysis and A/B testing to validate hypotheses and optimize business outcomes
- Collaborate with product teams to define analytics requirements and deliver actionable insights
- Present findings to executive stakeholders through compelling data narratives and visualizations
- Maintain data governance frameworks ensuring quality, compliance, and security standards
- mentor junior analysts and contribute to continuous improvement of analytics methodologies
Qualifications
- Bachelor's degree in Statistics, Computer Science, Mathematics, or related field (Master's preferred)
- 4+ years of progressive experience in data analysis or business intelligence roles
- Expert proficiency in SQL and experience with relational databases (PostgreSQL, Snowflake)
- Advanced skills in data visualization tools (Tableau, Power BI) and programming (Python/R)
- Strong statistical modeling experience and knowledge of experimental design principles
- Proven ability to translate complex data into business recommendations for non-technical audiences
- Certification in Google Analytics or similar data analytics platform preferred
- Experience working with large-scale datasets and cloud platforms (AWS/GCP/Azure)