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Data Operations Analyst Jobs in Ohio (NOW HIRING)

About the role The Operations Analyst is a data analyst that supports Operations and the Operations Excellence teams. The Operations Analyst will provide insight and visibility into operational ...

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you'll help share ... This includes driving data governance and consistency across systems, enabling effective audience ...

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you'll help share ... This includes driving data governance and consistency across systems, enabling effective audience ...

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you'll help share ... This includes driving data governance and consistency across systems, enabling effective audience ...

Maintain a data quality scorecard tracking duplicate rates, missing fields, and stale records across key data sources, with periodic reporting to leadership Sales Reporting & Operational Analysis

As an Operations Analyst, Senior Principal with MTSI, you will be responsible for providing ... for data analysis and problem identification. • Experience with technology planning and ...

Collect, analyze, and interpret sales data to deliver actionable insights. Build and maintain ... Provide operational support including territory management, account assignments, quota setup, and ...

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Showing results 1-20

Data Operations Analyst information

See Ohio salary details

$32.3K

$78.6K

$129.3K

How much do data operations analyst jobs pay per year?

As of Jun 21, 2026, the average yearly pay for data operations analyst in Ohio is $78,566.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,400.00 and $92,200.00 per year, depending on experience, location, and employer.

What are Data Operations Analysts?

Data Operations Analysts are professionals who manage, optimize, and ensure the accuracy of data workflows within an organization. They are responsible for collecting, processing, and analyzing data to support business operations and decision-making. Their duties often include maintaining databases, troubleshooting data issues, and collaborating with other teams to improve data quality and efficiency. By ensuring data integrity and availability, Data Operations Analysts help organizations make data-driven decisions and streamline their operations.

What are the key skills and qualifications needed to thrive as a Data Operations Analyst, and why are they important?

To thrive as a Data Operations Analyst, you need strong analytical skills, proficiency in data management, and a relevant degree such as in computer science, statistics, or a related field. Familiarity with SQL, data visualization tools (such as Tableau or Power BI), and data pipeline systems is typically required, along with certifications like Microsoft Certified: Data Analyst Associate being advantageous. Attention to detail, problem-solving ability, and effective communication are essential soft skills for collaborating with cross-functional teams and ensuring data integrity. These skills and qualities are vital for maintaining accurate data flows, supporting business decisions, and driving operational efficiency.

How does a Data Operations Analyst typically collaborate with other departments to improve data processes?

Data Operations Analysts regularly work with cross-functional teams, including IT, business intelligence, and department leads, to streamline data collection, integration, and reporting. They often serve as the bridge between technical and non-technical teams, translating business needs into actionable data solutions. Effective collaboration may involve participating in meetings to understand project requirements, troubleshooting data issues with engineering teams, and training staff on new data tools or procedures. Strong communication skills are essential, as the role requires aligning diverse stakeholders toward common data integrity goals.

What is the difference between Data Operations Analyst vs Data Analyst?

AspectData Operations AnalystData Analyst
Required CredentialsBachelor's in Data Science, IT, or related field; certifications like Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related field; certifications like Microsoft Certified Data Analyst
Work EnvironmentData teams, IT departments, business operationsBusiness units, marketing, finance, or research teams
Employer & Industry UsageTech companies, finance, healthcare, retailMarketing agencies, consulting firms, finance, healthcare

While both roles involve working with data, Data Operations Analysts focus on managing data workflows, ensuring data quality, and supporting data infrastructure. Data Analysts primarily analyze data to generate insights, reports, and support decision-making. The roles often overlap but differ in their core responsibilities and focus areas.

Infographic showing various Data Operations Analyst job openings in Ohio as of June 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $78,566 per year, or $37.8 per hour.
340B Technical Operations Analyst

340B Technical Operations Analyst

Pharmacy Data Management

Poland, OH • On-site, Remote

Full-time

Posted 11 days ago


Job description

PDMI is looking to add a 340B Technical Operations Analyst to our team! As a 340B Technical Operations Analyst, you will be responsible for overseeing the day-to-day technical operations of the 340B platform, ensuring system stability, data integrity, and operational efficiency. This role serves as a critical bridge between the 340B Account Management team, Product/Engineering, and Data Operations, supporting routine processes and ad-hoc operational needs. This position requires strong technical operations experience, a data-driven mindset, and the ability to proactively monitor systems, troubleshoot issues, and drive continuous improvement in a fast-paced healthcare environment.
Since 1984, PDMI has provided pharmacy data processing and other flexible, scalable solutions to help our clients meet their business objectives. We offer transparent, pass-through pharmacy processing and other services for private label Pharmacy Benefit Managers (PBMs), vertically integrated health plans and hospital systems. In addition to Pharmacy Benefit Administrative Services, we offer 340B Administration, Hospice and Long-Term Care Services.
Why Join Us:
  • Best Employer: PDMI was voted Best Employer in Ohio for the 5th consecutive year in 2025!
  • Meaningful Work: Contribute to improving healthcare quality and efficiency.
  • Collaborative Environment: Work with passionate professionals who share your drive.
  • Exciting Challenges: Every day brings new opportunities to excel.
  • Flexible Work: Fully remote opportunity with a company that cares.

Key Responsibilities:
  • Monitor daily system performance across 340B platforms and supporting applications.
  • Identify, triage, and resolve system issues, outages, and performance degradation.
  • Coordinate with Engineering and Infrastructure teams for incident management and root cause analysis.
  • Maintain system health dashboards, alerts, and monitoring processes.
  • Oversee inbound and outbound client and vendor partner data feeds including claims, eligibility, accumulations, and replenishment data.
  • Monitor data pipelines to ensure completeness, accuracy, and timeliness.
  • Investigate and resolve data discrepancies, failures, and anomalies.
  • Partner with internal and external stakeholders (TPAs, pharmacies, wholesalers, EMRs) to ensure successful data exchange.
  • Execute and manage system configuration requests including data import and export requests; ad-hoc system configurations; report and data access management.
  • Maintain and manage export configurations.
  • Validate configuration changes through testing and ensure accurate deployment.
  • Maintain documentation for system configurations, processes, and procedures.
  • Serve as the primary technical operations contact for the 340B Account Management team.
  • Intake, prioritize, and fulfill ad-hoc operational requests (e.g., data pulls, issue investigations, program adjustments).
  • Provide timely updates and clear communication on request status and resolution.
  • Identify opportunities to improve operational workflows, automation, and monitoring capabilities.
  • Partner with Product, Engineering, and QA teams to enhance system functionality and reduce manual effort.
  • Develop and maintain SOPs, runbooks, and operational playbooks.
  • Generate operational reports and dashboards related to system performance, data quality, and program outcomes.
  • Analyze trends such as qualification rates, data failures, and system usage.
  • Provide actionable insights and recommendations to improve program performance.

Word & Education Experience Requirements:
  • Bachelor's degree in computer science or related field, or equivalent combination of education and experience required.
  • 5+ years of experience in healthcare technology, data operations, or a related field required.
  • Experience with data integrations, file processing (flat files, EDI), ETL\ELT processes, and data validation required.
  • Intermediate proficiency in SQL Server scripting, including querying, troubleshooting, and data validation required.
  • Experience with process automation utilizing Python, PowerShell, etc. and operational management tools like JAMS, GoAnywhere, etc. required.
  • Experience with system monitoring tools and incident management processes required.
  • Experience with ticketing systems such as Jira and HaloITSM required.
  • Experience working with 340B TPAs or healthcare SaaS platforms preferred.
  • Strong understanding of 340B program workflows, claims adjudication, and contract pharmacy models preferred.
  • Knowledge of regulatory requirements related to HRSA and 340B compliance preferred.

AI Usage & Candidate Authenticity:
AI tools may be used for resume formatting or drafting application materials; however, submitting content that misrepresents your experience, including copied job descriptions or unverifiable work history, is not acceptable. Candidates must be prepared to clearly and confidently speak to all experience listed. PDMI may request work samples, portfolio links, or other forms of validation during the process. Use of AI tools during interviews or assessments, unless explicitly permitted, will result in disqualification.
All offers are contingent upon successful completion of a pre-employment background check, including employment and education verification, as well as a 4-panel drug screen.