Job Description
Unlock your potential with weekly pay! Join DataDriven Solutions LLC in Tulsa as a Data Analyst and transform raw data into strategic business insights. We're seeking a passionate analyst to drive data-driven decision-making across our growing organization. Enjoy competitive compensation, flexible work arrangements, and the financial stability of weekly paychecks.
Why Tulsa? Experience Oklahoma's vibrant tech hub while enjoying a lower cost of living. Our downtown Tulsa office offers hybrid work options and a collaborative culture focused on innovation. This role includes full benefits, professional development stipends, and quarterly team-building events.
Apply today and become part of a team that values your analytical expertise and rewards your contributions with timely compensation.
Responsibilities
- Analyze complex datasets to identify trends, patterns, and actionable business insights
- Design and maintain automated reporting dashboards using SQL, Python, and visualization tools
- Collaborate with cross-functional teams to translate data findings into strategic recommendations
- Develop predictive models to forecast market trends and optimize operational efficiency
- Implement data validation protocols to ensure accuracy and integrity of all datasets
- Present findings to executive stakeholders through compelling data narratives and visualizations
- Stay current with emerging analytics technologies and industry best practices
Qualifications
- Bachelor's degree in Data Science, Statistics, Computer Science, or related field
- 3+ years of professional data analysis experience with demonstrated portfolio
- Expert proficiency in SQL, Python (Pandas/NumPy), and at least one visualization tool (Tableau/Power BI)
- Strong statistical analysis background with experience in hypothesis testing and regression modeling
- Excellent communication skills with ability to translate technical concepts for non-technical audiences
- Certification in data analytics or business intelligence (preferred but not required)
- Experience with cloud platforms (AWS/Azure) and big data technologies (Spark/Hadoop)