Job Description
Job Description
We are looking for a Data Analyst to turn complex business and operational information into clear insights that support smarter decisions across the organization. This position will create meaningful reporting solutions, uncover trends and performance issues, and help leaders improve efficiency and results. Based in Central Ohio, this role works closely with cross-functional partners to translate data into practical recommendations and measurable business value.
Responsibilities:
• Examine operational and business data to surface patterns, identify gaps in performance, and highlight areas for improvement.
• Build, update, and enhance dashboards, reports, and visual presentations using tools such as SQL, Excel, Tableau, Power BI, Alteryx, or comparable platforms.
• Collect, validate, clean, and structure large datasets so analysis is accurate, reliable, and ready for reporting.
• Deliver custom analyses in response to evolving business needs and provide recommendations that support informed decision-making.
• Collaborate with stakeholders across multiple teams to clarify reporting objectives and convert business questions into analytical outputs.
• Streamline recurring reporting activities through automation and maintain clear records of data sources, logic, and reporting standards.
• Review data quality across systems, investigate inconsistencies, and resolve issues that affect reporting accuracy.
• Present conclusions and data-driven insights in a way that is accessible to both technical teams and business audiences.
• Bachelor’s degree in Analytics, Information Systems, Computer Science, Statistics, Business, Mathematics, or a related discipline, or equivalent practical experience.
• At least 3 years of experience in data analytics, business intelligence, reporting, or a similar function.
• Strong SQL capability and advanced proficiency in Excel.
• Hands-on experience creating dashboards and visual analytics in Tableau, Power BI, Alteryx, or similar tools.
• Proven ability to work with large datasets and perform detailed, multi-step analysis.
• Strong critical thinking and problem-solving skills with the ability to connect data findings to business needs.
• Clear communication skills and the ability to explain analytical results to both technical and non-technical stakeholders.
• Familiarity with Python, R, data modeling, data warehousing, or ETL processes is preferred.