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Senior Data Analyst

InnovateMetrics Analytics
Sacramento
Estimated Salary
USD 85.000 – USD 115.000
New
Live Update
6 Mei 2026
Deadline
6 Mei 2027

Job Description

Join InnovateMetrics Analytics as a Senior Data Analyst and transform raw data into actionable business intelligence. We're a fast-growing analytics firm serving Fortune 500 clients, and we need your expertise to drive data-driven decision-making across our Sacramento headquarters. This hybrid role combines deep analytical rigor with strategic business impact in a collaborative, innovation-focused environment.

Our ideal candidate thrives in ambiguity, possesses exceptional problem-solving skills, and can communicate complex findings to non-technical stakeholders. You'll work with cross-functional teams to identify opportunities, optimize operations, and shape our data strategy. We offer competitive compensation, comprehensive benefits, and clear pathways for career growth in the heart of California's capital.

Responsibilities

  • Develop and maintain complex data models to uncover business trends and opportunities
  • Create interactive dashboards using Tableau/Power BI for executive reporting
  • Design and implement A/B testing frameworks to validate hypotheses
  • Collaborate with product teams to translate analytics into actionable recommendations
  • Automate reporting processes to improve efficiency and accuracy
  • Present findings to C-level executives through compelling visualizations
  • Maintain data integrity across multiple SQL databases and data warehouses

Qualifications

  • Bachelor's degree in Statistics, Mathematics, Computer Science, or related field (Master's preferred)
  • 5+ years of professional data analytics experience with SQL proficiency
  • Expertise in Python (Pandas, NumPy) or R for statistical analysis
  • Advanced visualization skills with Tableau or Power BI
  • Experience with cloud platforms (AWS/GCP/Azure) data services
  • Proven ability to translate complex data into business narratives
  • Strong statistical knowledge (regression, hypothesis testing, time-series)
  • Portfolio demonstrating impactful data-driven projects

Required Skills

SQL Python R Tableau Power BI AWS Statistical Analysis Data Visualization A/B Testing Data Modeling

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