Job Description
The Opportunity: We are seeking a results-driven Data Analyst to join our dynamic team in Tulsa, OK. In this pivotal role, you will translate complex datasets into actionable business intelligence, empowering stakeholders to make data-backed decisions. You will be at the heart of our analytics strategy, working closely with cross-functional teams to uncover trends, optimize processes, and drive growth.
Why Join Us?
- Competitive salary and comprehensive benefits package.
- Work in a collaborative environment that values innovation.
- Opportunity for professional growth and development.
We are committed to diversity and inclusion and are proud to be an equal opportunity employer.
Responsibilities
- Data Mining & Analysis: Collect, clean, and analyze large, complex datasets to identify patterns, trends, and correlations that impact business performance.
- Visualization: Design and develop compelling data visualizations, dashboards, and reports using tools like Tableau, Power BI, or Looker to make complex data accessible.
- Statistical Modeling: Apply statistical methods and predictive modeling techniques to forecast trends and support strategic planning.
- Stakeholder Collaboration: Partner with product managers, engineers, and executive leadership to understand data needs and deliver insights that drive product development and business strategy.
- Process Improvement: Identify inefficiencies in data workflows and recommend solutions to improve data accuracy, integrity, and accessibility.
- Documentation: Maintain clear documentation of data sources, methodologies, and analytical processes to ensure transparency and reproducibility.
Qualifications
- Education: Bachelor’s degree in Mathematics, Statistics, Computer Science, Economics, or a related quantitative field.
- Experience: 3+ years of proven experience in data analysis, business intelligence, or a similar analytical role.
- Technical Skills: Proficiency in SQL for querying databases; experience with Python or R for data manipulation; strong command of Excel (pivot tables, VLOOKUP).
- Visualization Tools: Strong portfolio or demonstrated experience with visualization tools such as Tableau, Power BI, or Qlik.
- Communication: Excellent verbal and written communication skills with the ability to translate technical findings into non-technical business insights.
- Attention to Detail: High level of accuracy and the ability to work with large volumes of data without compromising quality.