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Operations Analytics Manager Jobs in Ohio (NOW HIRING)

Fraud Risk Analytics Manager

Mason, OH · Hybrid

$106K - $130K/yr

Collaborate with operations and product teams to ensure well-defined objective functions which are ... analytics, fraud risk management, or financial crime data science * Strong experience with fraud ...

Collaborate with operations and product teams to ensure well-defined objective functions which are ... analytics, fraud risk management, or financial crime data science * Strong experience with fraud ...

Collaborate with operations and product teams to ensure well-defined objective functions which are ... analytics, fraud risk management, or financial crime data science * Strong experience with fraud ...

Partner with stakeholders across Sales Operations, Account Management, and CCX business units to ... Lead insightful analytics and modeling: Perform qualitative and quantitative analyses to support ...

... operational insights into clear strategic recommendations that inform marketing and business ... analysts and CRM administrators. Qualifications : Required : • Minimum of 7 years of experience ...

$42.51 - $68/hr

Days/Afternoons (United States) Position Overview The Manager of Insights Report Generation and ... By integrating clinical knowledge, healthcare analytics, and operational excellence methodologies ...

New

You will work as part of cross-functional teams providing financial, accounting, operational and commercial due diligence, bringing your skills to the M&A deal to manage and analyze the data in ...

Showing results 21-40

Operations Analytics Manager information

See Ohio salary details

$29.5K

$60.3K

$112.7K

How much do operations analytics manager jobs pay per year?

As of Aug 12, 2026, the average yearly pay for operations analytics manager in Ohio is $60,328.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,000.00 and $73,700.00 per year, depending on experience, location, and employer.

How does an operations analytics manager typically collaborate with cross-functional teams in a company?

Operations Analytics Managers frequently work with departments such as finance, supply chain, IT, and customer service to identify inefficiencies and recommend data-driven improvements. They act as a bridge between technical analysts and business stakeholders, translating analytical findings into actionable strategies. Regular meetings, project updates, and collaborative workshops are common, ensuring alignment on objectives and progress. This role requires strong communication skills and the ability to tailor complex data insights to diverse audiences.

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

AspectOperations Analytics ManagerData Analyst
Required CredentialsBachelor's or Master’s in Business, Analytics, or related field; often prefers experience in operationsBachelor's in Statistics, Mathematics, or related field; certifications like SQL or Tableau are common
Work EnvironmentLeads teams in operational settings, collaborates with management, focuses on process improvementAnalyzes data sets, creates reports, supports decision-making across departments
Employer & Industry UsageUsed in logistics, manufacturing, retail, and supply chain companiesCommon across finance, marketing, healthcare, and tech industries

The Operations Analytics Manager focuses on leading teams to optimize operational processes using analytics, while Data Analysts primarily interpret data to support decision-making. Both roles require strong analytical skills, but the manager role involves leadership and strategic planning in operational contexts.

Is data analytics a high paying job?

Operations Analytics Managers typically earn above-average salaries compared to many other roles, with compensation influenced by experience, industry, and location. Skills in data analysis tools and business intelligence platforms can also impact earning potential.

What are the key skills and qualifications needed to thrive as an operations analytics manager?

To thrive as an Operations Analytics Manager, you need strong analytical skills, business acumen, and experience with data modeling, often supported by a degree in business, statistics, or a related field. Familiarity with analytics platforms like SQL, Tableau, Python, and experience in ERP or CRM systems is typically required. Exceptional problem-solving, communication, and leadership skills help you translate data insights into actionable strategies and lead cross-functional teams. These skills are vital to drive data-informed decision-making and optimize operational efficiency within an organization.

What does an operations analytics manager do?

An operations analytics manager oversees the analysis of data related to business operations to improve efficiency, reduce costs, and optimize processes. They use tools like Excel, SQL, and data visualization software to interpret large datasets, develop reports, and support decision-making. Strong analytical skills, understanding of operational workflows, and experience with data management are essential for this role.
What cities in Ohio are hiring for Operations Analytics Manager jobs? Cities in Ohio with the most Operations Analytics Manager job openings:
Infographic showing various Operations Analytics Manager job openings in Ohio as of August 2026, with employment types broken down into 86% Full Time, 9% Part Time, 1% Temporary, and 4% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $60,328 per year, or $29 per hour.

Fraud Risk Analytics Manager

Citizens

Mason, OH • Hybrid

$106K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 27 days ago


Job description

Description

We are seeking an experienced Senior Data Scientist to lead fraud risk strategy optimization and entitylevel fraud state estimation across the enterprise. This role is critical to developing a holistic understanding of customer behavior and translating that understanding into intelligent decisioning and colleague decision support across fraud prevention, risk management, and product experiences.

The ideal candidate brings deep fraud domain expertise spanning across the entire customer life cycle, strong analytical rigor, and the courage to challenge existing approaches while delivering practical, scalable solutions under time constraints and scope changes. This individual will partner closely with business leaders, first- and second-line risk teams, fraud operations, and product to drive measurable fraud risk reduction and improved customer outcomes.

Key Responsibilities

  • Discover, Design, develop, and execute fraud risk strategy optimization frameworks, including rule, model, and hybrid decisioning approaches
  • Perform entitylevel fraud state estimation across customers, accounts, devices, and networks to enable consistent, enterprisewide fraud understanding
  • Translate complex fraud signals into actionable insights and decision support for colleagues across business, risk, and operations
  • Partner with first- and second-line risk teams to ensure strategies are transparent, explainable, and wellgoverned
  • Collaborate with operations and product teams to ensure well-defined objective functions which are operationally viable and aligned with customer experience goals
  • Communicate findings clearly to both technical and nontechnical audiences, influencing decisionmaking at multiple levels
  • Champion innovation by testing new analytical approaches while maintaining disciplined execution and production readiness

Required Qualifications

  • 5+ years of experience in fraud analytics, fraud risk management, or financial crime data science
  • Strong experience with fraud detection, prevention, and decisioning systems in complex environments
  • Demonstrated ability to balance risk reduction, customer experience, and operational efficiency
  • Proven track record of independent problemsolving, ownership, and delivery in ambiguous problem spaces
  • Excellent communications (oral and written), interpersonal/business partnering, and organizational skills
  • Demonstrates courageinnovation, and high productivity
  • Bachelor's degree in Operations Management, Mathematics, Statistics, Actuarial Sciences, Economics or other quantitative, business or technical discipline

Technical Skills

  • Advanced SQL for data extraction, transformation, and analysis
  • Strong Python skills for data analysis, modeling, and pipeline development
  • Solid foundation in data science and statistical learning, including: 
    • Classification and regression techniques
    • Feature engineering
    • Model evaluation and performance monitoring

Preferred Qualifications

  • Experience with fraud strategy optimization, challenger testing, or decision policy design
  • Familiarity with entity resolution, graph/network analytics, or customercentric risk frameworks
  • Experience operating within regulated environments and risk governance structures
  • Master degree in Mathematics, Statistics, Operations Management, Economics or other quantitative, business or technical discipline preferred

Hours & Work Schedule

  • Hours per Week: 40
  • Work Schedule: 8:00am-5:00pm Monday - Friday

Pay Transparency 

The salary range for this position is $106,000 - $130,000 per year. Actual pay is based on various factors including but not limited to the budget, work location, and relevant skills and experience. We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more. Note, Citizens' paid time off policy exceeds the mandatory, paid sick or paid time-away policy of every local and state jurisdiction in the United States. For an overview of our benefits, visit https://jobs.citizensbank.com/benefits

This role is not eligible for new employersponsored or current H-1 B visa holders. Applicants, including current OPT, L and other visa holders, must be authorized to work in the U.S. without the need for new employer sponsorship for themselves or their spouses now and in the future.

Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance.

Equal Employment Opportunity

Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.

Education:Why Work for UsEmployment Type: 1ST