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Information Technology 🏢 Full Time ⭐️ Verified

Remote Data Analyst

DataVista Analytics
Sacramento, CA
Estimated Salary
USD 75.000 – USD 95.000
New
Live Update
21 Juni 2026
Deadline
21 Jun 2027

Job Description

Join our award-winning data team as a Remote Data Analyst and transform raw data into actionable business intelligence! DataVista Analytics is seeking a detail-oriented professional to drive data-driven decision-making for our Sacramento-based clients. This fully remote position offers immediate start with competitive compensation and growth opportunities.

We're looking for a passionate individual who thrives in a fast-paced environment and can uncover insights hidden within complex datasets. If you're ready to make an impact through analytics while enjoying the flexibility of remote work, apply today!

Responsibilities

  • Analyze complex datasets using SQL, Python, and statistical tools to identify trends and business opportunities
  • Create compelling data visualizations and dashboards using Tableau/Power BI for executive stakeholders
  • Develop automated reporting pipelines to deliver real-time performance metrics
  • Collaborate with cross-functional teams to translate analytical findings into strategic recommendations
  • Ensure data integrity through rigorous validation and quality control processes
  • Present insights to leadership through clear, concise executive summaries

Qualifications

  • Bachelor's degree in Statistics, Mathematics, Computer Science, or related field
  • 3+ years of professional data analysis experience with remote work exposure
  • Advanced proficiency in SQL, Python (Pandas/NumPy), and data visualization tools
  • Strong statistical analysis background with A/B testing experience
  • Proven ability to communicate complex insights to non-technical audiences
  • Certification in Tableau or Power BI preferred
  • Portfolio demonstrating data storytelling capabilities required

Required Skills

SQL Python Tableau Power BI Statistical Analysis Data Visualization A/B Testing Data Storytelling

Ready to Take This Challenge?

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