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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Analyst

Tulsa Data Innovations
Tulsa
Estimated Salary
USD 75.000 – USD 95.000
New
Live Update
1 September 2026
Deadline
1 Sep 2027

Job Description

Join Tulsa's fastest-growing data-driven team at Tulsa Data Innovations! We're seeking a Senior Data Analyst to transform raw data into actionable business intelligence that fuels our strategic decisions. This hybrid role combines deep technical expertise with business acumen to solve complex challenges for Fortune 500 clients across healthcare, logistics, and retail sectors. You'll collaborate with executive leadership to build scalable analytics frameworks while mentoring junior analysts in our state-of-the-art downtown Tulsa office.

Responsibilities

  • Design and implement end-to-end data pipelines using SQL, Python, and cloud platforms (AWS/GCP)
  • Create interactive dashboards and visualizations in Tableau/Power BI for executive stakeholders
  • Perform statistical analysis and predictive modeling to identify market trends and opportunities
  • Collaborate with cross-functional teams to define KPIs and track performance metrics
  • Present insights to C-suite executives through compelling data narratives
  • Mentor junior analysts on best practices in data governance and analytics
  • Lead A/B testing initiatives to optimize business processes

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 5+ years of experience in data analysis or business intelligence roles
  • Advanced proficiency in SQL and at least one programming language (Python/R)
  • Expertise in data visualization tools (Tableau/Power BI)
  • Strong statistical analysis and experimental design skills
  • Experience with cloud data warehouses (BigQuery, Redshift, Snowflake)
  • Proven ability to translate complex data into business recommendations
  • Certification in data analytics (e.g., Google Data Analytics, Tableau Desktop Specialist)

Required Skills

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

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