Mid-Level Data Analyst
Cincinnati, OH, United States • Posted June 02, 2026
Job Type:
Full-time
Location:
Cincinnati, OH
Posted:
June 02, 2026
Category:
other-general
Application Deadline:
June 11, 2026
Role Description
Job Description
A Fortune 100 retail client in the Cincinnati, OH area is seeking a Data Analyst to join their team to support the collection, analysis and management of large datasets to improve insights and guide strategic direction for their eCommerce services. This resource will be uncovering opportunities and evaluating business tradeoffs through large amounts of datasets to guide their team to make business decisions. Other responsibilities include:
Translate complex analytical findings into clear, compelling narratives tailored to different audiences, including executives, business partners, and technical teams.
Develop and present multiple solution options to stakeholders, explaining risks, benefits, and expected impact.
Conduct exploratory data analysis to uncover trends, anomalies, and opportunities that drive business outcomes.
Standardize and improve data processes, quality, and availability in partnership with cross‑functional teams.
We are a compan...
A Fortune 100 retail client in the Cincinnati, OH area is seeking a Data Analyst to join their team to support the collection, analysis and management of large datasets to improve insights and guide strategic direction for their eCommerce services. This resource will be uncovering opportunities and evaluating business tradeoffs through large amounts of datasets to guide their team to make business decisions. Other responsibilities include:
Translate complex analytical findings into clear, compelling narratives tailored to different audiences, including executives, business partners, and technical teams.
Develop and present multiple solution options to stakeholders, explaining risks, benefits, and expected impact.
Conduct exploratory data analysis to uncover trends, anomalies, and opportunities that drive business outcomes.
Standardize and improve data processes, quality, and availability in partnership with cross‑functional teams.
We are a compan...
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