Job Description
Join Tulsa's fastest-growing tech hub as a Senior Data Analyst at Tulsa Innovations Group! We're seeking a data-driven professional to transform complex datasets into actionable business intelligence that drives strategic decisions. In this pivotal role, you'll collaborate with cross-functional teams to uncover market trends, optimize operations, and fuel innovation across our expanding portfolio.
Our ideal candidate thrives in dynamic environments and possesses a unique blend of technical expertise and business acumen. You'll leverage cutting-edge tools to solve real-world challenges while contributing to our mission of revolutionizing the regional tech landscape. Enjoy competitive compensation, comprehensive benefits, and a culture that champions continuous learning and professional growth.
Responsibilities
- Design and implement robust data pipelines to ensure seamless data integration and quality
- Develop interactive dashboards and visualizations using Tableau/Power BI to communicate key insights
- Conduct statistical analysis to identify market trends, customer behaviors, and growth opportunities
- Collaborate with stakeholders to translate business requirements into analytical solutions
- A/B test hypotheses and deliver data-driven recommendations to optimize product performance
- Maintain and enhance data models to support predictive analytics and forecasting
- Present findings to executive leadership with compelling data narratives
Qualifications
- Bachelor's degree in Data Science, Statistics, Computer Science, or related field
- 3+ years of professional data analysis experience with SQL proficiency
- Expertise in data visualization tools (Tableau, Power BI, or equivalent)
- Strong statistical analysis skills and experience with hypothesis testing
- Proficiency in Python/R for data manipulation and modeling
- Experience with cloud platforms (AWS, Azure, or GCP) data services
- Excellent communication skills with ability to translate complex insights
- Portfolio demonstrating impactful data-driven projects