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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Analyst (Remote, Phoenix, AZ)

DataVista Solutions
Phoenix, AZ
Estimated Salary
USD 85.000 – USD 110.000
New
Live Update
27 September 2026
Deadline
27 Sep 2027

Job Description

Join DataVista Solutions as a Senior Data Analyst and transform raw data into actionable business intelligence. We're seeking a remote professional based in Phoenix, AZ to drive data-driven decision-making across our tech-forward organization. Enjoy flexible work arrangements, competitive benefits, and the opportunity to impact high-growth industries.

What you'll love: Collaborative remote culture, cutting-edge analytics tools, and career growth opportunities. Work from anywhere in Phoenix while being part of a dynamic team.

Responsibilities

  • Analyze complex datasets using SQL, Python, and statistical modeling to uncover business trends
  • Develop interactive dashboards using Tableau/Power BI for executive stakeholders
  • Design and implement automated data pipelines for real-time reporting
  • Collaborate with cross-functional teams to define KPIs and track performance metrics
  • Present findings to leadership through compelling visualizations and recommendations
  • Maintain data integrity through rigorous testing and documentation standards
  • Lead ad-hoc analytics projects to support strategic initiatives

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of professional data analytics experience with remote work background
  • Expert proficiency in SQL, Python (Pandas, NumPy), and data visualization tools
  • Strong statistical analysis skills and experience with A/B testing methodologies
  • Experience building automated ETL pipelines using AWS/GCP or Azure
  • Exceptional communication skills translating complex data to non-technical audiences
  • Certification in Tableau, Google Analytics, or AWS Data Analytics preferred

Required Skills

SQL Python Tableau Power BI AWS Data Visualization Statistical Analysis ETL Pipelines Business Intelligence

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