Data Analyst - Corporate Finance
Position Title: Data Analyst
Location: Columbus, Ohio
Reports To: Corporate Financial Systems
Position Summary
The Data Analyst plays a key role in turning data into actionable insights that support business decision-making. This role is responsible for querying, analyzing, and visualizing data to create meaningful dashboards and KPIs that align with organizational goals. The ideal candidate has a strong analytical foundation, is comfortable working with data visualization tools, and understands basic financial concepts to effectively interpret and communicate performance trends. This position partners closely with cross-functional teams to ensure data accuracy, clarity, and relevance.
Key Responsibilities
- Write and maintain basic SQL queries to retrieve, filter, and summarize data for reporting and analysis
- Develop and maintain dashboards, reports, and KPI metrics that support business objectives
- Translate raw data into clear, visual insights that are easily understood by technical and non-technical stakeholders
- Partner with cross-functional teams to define metrics, validate data, and ensure alignment with business goals
- Analyze trends related to revenue, cost, margin, and performance to provide meaningful insights
- Support ad hoc reporting and data requests as needed
- Ensure data accuracy, consistency, and integrity across reporting outputs
- Manage multiple priorities effectively while meeting deadlines in a fast-paced environment
Qualifications
- Bachelor's degree in Finance, Accounting, Information Systems, Data Analytics, Computer Science, or a related field
- 1–3 years of professional experience in a data, analytics, or reporting role
- Working knowledge of SQL, with the ability to write basic queries
- Experience building dashboards and working with data visualization tools
- Foundational understanding of finance concepts such as revenue, cost, margin, and performance tracking
- Strong analytical, organizational, and time-management skills
- Excellent communication and collaboration skills, with the ability to explain data insights clearly
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