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Data Analyst

Job in Cleveland, Cuyahoga County, Ohio, 44101, USA
Listing for: Ringside Talent
Full Time position
Listed on 2026-10-18
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence
Salary/Wage Range or Industry Benchmark: 65000 - 90000 USD Yearly USD 65000.00 90000.00 YEAR
Job Description & How to Apply Below

We are looking for a Data Analyst to work for our client. The ideal candidate aligns with the responsibilities and qualifications outlined below.

This is a strong opportunity for a curious, detail-minded analyst to turn raw data into insight that business leaders use every day, in a hybrid role based in Cleveland, OH.

Responsibilities
  • Gather, clean, and analyze data from multiple sources to uncover trends, patterns, and opportunities
  • Write and optimize SQL queries to pull and transform data for reporting and analysis
  • Build dashboards and reports in tools like Power BI or Tableau that make complex data easy to understand
  • Partner with business teams to define metrics, answer questions, and shape reporting requirements
  • Validate data accuracy and flag quality issues before they reach decision-makers
  • Present findings and recommendations to stakeholders in clear, plain language
  • Automate recurring reports to reduce manual effort and improve consistency
  • Document data definitions, sources, and reporting logic
  • Support ad hoc analysis requests and special projects as they arise
Qualifications
  • 2+ years of experience in data analysis, business intelligence, or a similar role
  • Strong SQL skills and comfort working with large datasets
  • Experience with data visualization tools such as Power BI or Tableau
  • Advanced Excel skills
  • Strong analytical thinking and attention to detail
  • Ability to communicate technical findings to non-technical audiences
  • Comfortable managing multiple requests in a hybrid work environment
What Our Client Offers
  • Work that reaches decision-makers, so your analysis shapes real business choices
  • Room to introduce better reporting practices and automation, not just maintain old reports
  • Exposure to data from across the business, which keeps the work varied
  • A team that treats data quality as a shared priority
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