Job Description
We are seeking a highly analytical and detail-oriented Senior Data Analyst to drive strategic decision-making for our operations in Omaha, Nebraska. In this pivotal role, you will partner with cross-functional teams to collect, analyze, and interpret complex data sets, transforming raw numbers into clear, actionable business intelligence.
Our ideal candidate is not just a number cruncher but a storyteller who can influence business outcomes through data-driven insights. You will leverage your expertise in SQL and Python to automate reporting processes and build robust dashboards that visualize key performance indicators (KPIs).
Why Join Us?
- Competitive salary and comprehensive benefits package.
- Opportunity to work with cutting-edge data technologies.
- Collaborative and innovative work environment in the heart of Omaha.
Responsibilities
- Extract, clean, and transform large datasets from various sources using SQL and Python to ensure data accuracy and integrity.
- Design, develop, and maintain interactive dashboards in Tableau and Power BI to monitor business performance and trends.
- Collaborate with stakeholders to define key metrics and KPIs, translating business requirements into technical specifications.
- Perform complex statistical analysis and predictive modeling to forecast future trends and support strategic planning.
- Create comprehensive reports and presentations for executive leadership, summarizing findings and recommending actionable solutions.
- Identify data anomalies and implement solutions to improve data quality and reporting efficiency.
Qualifications
- Bachelor’s degree in Computer Science, Mathematics, Statistics, or a related field.
- 3-5+ years of professional experience as a Data Analyst or similar role.
- Strong proficiency in SQL (PostgreSQL, MySQL) and Python (Pandas, NumPy) for data manipulation and analysis.
- Expert-level experience with data visualization tools such as Tableau or Power BI.
- Excellent communication skills with the ability to translate technical data findings for non-technical audiences.
- Experience with data warehousing concepts and ETL processes.