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Remote Data Analyst - Tulsa, OK

Innovatech Analytics
Tulsa
Estimated Salary
USD 65.000 – USD 85.000
New
Live Update
14 September 2026
Deadline
14 Sep 2027

Job Description

Join Innovatech Analytics as a Remote Data Analyst and transform raw data into actionable business insights. Our Tulsa-based team offers a flexible remote-friendly environment where your analytical skills will drive strategic decisions. We're seeking a detail-oriented professional to leverage cutting-edge tools and methodologies to uncover trends, optimize operations, and fuel growth. Enjoy competitive benefits, professional development opportunities, and the freedom to work from anywhere while making a tangible impact.

Responsibilities

  • Analyze complex datasets using SQL, Python, and R to identify business opportunities and risks
  • Create compelling visualizations and dashboards using Tableau and Power BI for stakeholder communication
  • Develop automated reporting systems to track KPIs and performance metrics
  • Collaborate with cross-functional teams to translate data requirements into analytical solutions
  • Present findings to executive leadership with clear, actionable recommendations
  • Maintain data integrity through rigorous validation and quality assurance processes
  • Stay current with industry trends to continuously improve analytical methodologies

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of experience in data analysis or business intelligence roles
  • Expert proficiency in SQL, Python (Pandas, NumPy), and Excel
  • Strong experience with data visualization tools (Tableau, Power BI)
  • Proven ability to translate complex data into business insights
  • Excellent communication and presentation skills
  • Experience with cloud platforms (AWS, Azure, GCP) preferred
  • Portfolio demonstrating analytical projects and results

Required Skills

SQL Python Tableau Power BI Data Visualization Statistical Analysis Business Intelligence Excel Data Modeling Cloud Computing

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