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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Analyst - Flexible Hours & Relocation Assistance

Nexus Analytics Solutions
Sacramento, CA
Estimated Salary
USD 85.000 – USD 110.000
New
Live Update
13 Oktober 2026
Deadline
13 Okt 2027

Job Description

Join Nexus Analytics Solutions in Sacramento as a Senior Data Analyst and enjoy unparalleled work-life balance with our flexible hours policy. We're committed to attracting top talent nationwide and offer comprehensive relocation assistance to help you transition smoothly to the vibrant Sacramento community. Our collaborative team leverages cutting-edge technology to transform complex data into actionable business insights, driving innovation across healthcare, finance, and retail sectors.

Why Nexus Analytics?
• Hybrid work model with core hours of 10 AM - 3 PM
• $5,000 relocation stipend + moving service coordination
• Professional development budget and tuition reimbursement
• Health/dental/vision insurance with 90% employer coverage
• 401(k) matching up to 6%

Responsibilities

  • Design and implement ETL pipelines for large-scale datasets using SQL and Python
  • Develop interactive dashboards in Tableau/Power BI for executive decision-making
  • Perform statistical modeling and predictive analytics to identify market trends
  • Collaborate with cross-functional teams to translate business needs into analytical solutions
  • Maintain data governance frameworks ensuring compliance with HIPAA/PCI-DSS standards
  • Mentor junior analysts through peer review sessions and knowledge-sharing workshops

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 5+ years of progressive data analysis experience with SQL and Python
  • Advanced proficiency in Tableau/Power BI and data visualization best practices
  • Experience with cloud platforms (AWS/GCP/Azure) and big data technologies
  • Strong statistical modeling background with A/B testing methodologies
  • Certification in Google Cloud Data Analytics or Microsoft Azure Data Engineer preferred
  • Portfolio demonstrating 3+ end-to-end analytical projects

Required Skills

SQL Python Tableau Power BI AWS Statistical Modeling Data Governance ETL Pipelines

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