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Data Operations Analyst Jobs in Ohio (NOW HIRING)

Payliance

Sales Operations Analyst

Columbus, OH · Remote

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

Cypress HCM

Legal Operations Analyst

Cincinnati, OH · On-site +1

$35 - $40/hr

Legal Operations Analyst Location: Cincinnati, OH 45209 | Hybrid Remote: In the office on Tuesdays ... Coordinate outreach to vendors for Data Protection Agreements (DPAs), AI-related contract addendums ...

LeafHome

Technical Operations Analyst

Hudson, OH · Remote

$65K - $75K/yr

The Installation Support Specialist provides remote technical support, diagnostics, and operational ... Experience analyzing service data and identifying trends * Familiarity with quality control ...

TQL

Accounting Operations Analyst

Milford, OH

$60K - $65K/yr

The Accounting Operations Analyst plays an important role in delivering insights and ... Proficiency in data and financial analysis using Excel (pivot tables, formulas), SQL and Power BI*

ForTec Medical

Sales Operations Analyst

Hudson, OH

The Sales Operations Analyst will focus on contract administration duties and grow to support ... Conduct in-depth analysis of pricing data, including historical sales transaction data, market ...

ForTec Medical

Sales Operations Analyst

Hudson, OH · On-site +1

The Sales Operations Analyst will focus on contract administration duties and grow to support ... Conduct in-depth analysis of pricing data, including historical sales transaction data, market ...

Motus

$90K - $120K/yr

With solutions purpose-built to enable data-driven insights and strategic decision making, Motus is ... Motus is seeking a Senior Revenue Operations Analyst, Analytics & Tableau to join our Revenue ...

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All JobsData Operations Analyst JobsData Operations Analyst Jobs in Ohio

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.

What are popular job titles related to Data Operations Analyst jobs in Ohio? For Data Operations Analyst jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Data Operations Analyst jobs in Ohio look for? The top searched job categories for Data Operations Analyst jobs in Ohio are:
Data Operations Analyst jobs near you
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.
Sales Operations Analyst

Sales Operations Analyst

Payliance

Columbus, OH • Remote

Other

Posted 12 days ago

Job description

Description

About Payliance

Founded in 2007, Payliance is a trusted leader in payments processing, serving businesses across lending, e-commerce, and collections industries. With over $63 billion processed annually, Payliance supports more than 40,000 merchant locations and over 350 lending clients, enabling them to streamline payment acceptance, reduce costs, and mitigate fraud risks.

Our Payments-as-a-Service platform processes over 162 million transactions annually, ensuring secure and reliable payment processing. With more than 20 years of industry expertise, Payliance supports Automated Clearing House (ACH), Credit/Debit Cards, Real-Time Payments (RTP) Remote Created Checks (RCC), and more and integrates with leading Loan Management Systems.

Backed by Serent Capital, a growth-focused private equity firm, Payliance continues to drive innovation and deliver measurable value to its clients.


About the Role

The Sales Operations Analyst plays a critical role in enabling sales productivity, forecast accuracy, and operational rigor across the Sales organization. This role partners closely with Sales Leadership, Marketing, Finance, and Customer Success to turn data into insights, improve processes, and ensure the sales team is equipped with the tools, reporting, and structure needed to scale efficiently.


What You'll Do

  • Sales Performance & Reporting: Collect, analyze, and interpret sales data to deliver actionable insights. Build and maintain dashboards and recurring reports to track KPIs, pipeline health, and overall sales performance.
  • Forecasting      & Pipeline Management: Partner with Sales Leadership to support accurate forecasting and pipeline analysis using historical data, trends,      and CRM insights.
  • CRM Ownership & Data Hygiene: Own day-to-day CRM administration (e.g., Salesforce, HubSpot), ensuring data accuracy, consistency, and adoption. Develop and monitor hygiene reporting (aging, late-stage opportunities, stalled deals).
  • Process Optimization: Evaluate, refine, and implement scalable sales processes that improve efficiency, consistency, and visibility across the sales organization.
  • Sales Enablement & Support: Provide operational support including territory management, account assignments, quota setup, and tool training for sales      users.
  • Cross-Functional Collaboration: Partner with Marketing, Finance, Product, and Customer Success to align on go-to-market initiatives, compensation planning support, and customer experience improvements.
  • Meetings & Cadence Support: Assist in planning and delivering Monthly All Sales meetings, Sales Kickoff activities, and leadership presentations.

Success Metrics (KPIs)

  • Forecast Accuracy & Pipeline Visibility
  • CRM Data Completeness and Hygiene
  • Timeliness and Quality of Sales Reporting
  • Adoption of Sales Processes and Tools
  • Sales Team Satisfaction with Operational Support

Work Environment

Remote-first role with regular collaboration across teams. Occasional travel (approximately 10%) for sales meetings, planning sessions, or company events.


Equal Employment Opportunity

Payliance is an equal opportunity employer. We value diversity and strive to create an inclusive workplace for everyone. Discrimination or harassment of any kind-based on race, color, sex, religion, sexual orientation, gender identity, national origin, age, disability, genetic information, or pregnancy-is not tolerated. We also ensure that qualified individuals with disabilities are treated fairly in all aspects of employment. Reasonable accommodations are available throughout the application and employment process. If you need an accommodation, please contact Human Resources.

Requirements

  What You'll Bring

  • Experience: 2-4 years of experience in Sales Operations, Sales Analytics, or a related role.
  • Analytical Strength: Strong ability to interpret complex data sets and translate insights into clear recommendations.
  • Tools & Systems: Hands-on experience with CRM platforms (Salesforce, HubSpot) and strong Excel skills (formulas, pivots, visualizations). Exposure to BI tools (Tableau, Power BI) is a plus.
  • Communication: Clear, concise written and verbal communication skills with the ability to present insights to senior leaders.
  • Execution Mindset: Highly organized, detail-oriented, and comfortable managing multiple priorities in a fast-paced environment.

Nice-to-Have

  • Familiarity with sales compensation structures and incentive plans
  • Experience supporting PE-backed or high-growth sales organizations
  • Exposure to AI-enabled productivity or analytics tools

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