Job Description
Join DataDriven Innovations as a Senior Data Analyst and revolutionize how we leverage data to drive strategic decisions in the heart of Oklahoma City. We're seeking a passionate remote professional to transform complex datasets into actionable insights that fuel our growth. Enjoy competitive compensation, flexible hours, and a culture that values innovation and work-life balance. As a key member of our analytics team, you'll collaborate with cross-functional departments to identify trends, optimize operations, and deliver data-driven recommendations that impact our bottom line. What We Offer: Comprehensive benefits package, professional development stipend, quarterly team meetups (travel covered), and cutting-edge tech resources. Why Oklahoma City? Thriving tech ecosystem with lower cost of living than major metros, while still offering big-city opportunities. Remote-first culture with in-person flexibility.
Responsibilities
- Analyze complex datasets using SQL, Python, and visualization tools to identify business trends and opportunities
- Develop and maintain automated reporting dashboards in Tableau/Power BI for executive stakeholders
- Collaborate with product and marketing teams to design A/B tests and measure campaign effectiveness
- Create predictive models to forecast sales, customer behavior, and market opportunities
- Present data-driven insights to leadership through compelling visualizations and written reports
- Implement data quality initiatives to ensure accuracy and consistency across systems
- Mentor junior analysts and contribute to best practices documentation
Qualifications
- Bachelor's degree in Data Science, Statistics, Computer Science, or related field (Master's preferred)
- 4+ years of professional data analysis experience with proven track record
- Expert proficiency in SQL, Python (Pandas, NumPy), and data visualization tools
- Strong statistical knowledge with experience in hypothesis testing and regression analysis
- Experience with cloud platforms (AWS, Azure, or GCP) and data warehousing
- Excellent communication skills with ability to translate technical insights for non-technical audiences
- Portfolio demonstrating end-to-end analytical projects with measurable impact