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Data Analytics Manager Jobs in Ohio (NOW HIRING)

Champion data and analytics best practices across the organization. Required Qualifications, Capabilities, and Skills * Master's degree in a relevant quantitative field (e.g., Statistics, Economics ...

[US] Data Analytics Associate

Mason, OH · On-site

$55K - $56K/yr

Data Analytics Associate Full Time Hybrid - Mason, OH Innovate with Benchmark Gensuite as a Data ... Bachelor's degree in information systems/computer science, with course-work in database management ...

[US] Data Analytics Associate

Mason, OH · On-site

$55K - $56K/yr

Data Analytics Associate Full Time Hybrid - Mason, OH Innovate with Benchmark Gensuite as a Data ... Bachelors degree in information systems/computer science, with course-work in database management ...

[US] Data Analytics Associate

Mason, OH · Hybrid

$55K - $56K/yr

Data Analytics Associate Full Time Hybrid - Mason, OH Innovate with Benchmark Gensuite as a Data ... Bachelor's degree in information systems/computer science, with course-work in database management ...

[US] Data Analytics Associate

Mason, OH · On-site

$55K - $56K/yr

Data Analytics Associate Full Time Hybrid - Mason, OH Innovate with Benchmark Gensuite as a Data ... Bachelor's degree in information systems/computer science, with course-work in database management ...

Build systems and standards that ensure metrics actively support implementation teams in managing ... Data Analytics Oversight - Turn data into decisions * Collaborate with product, implementation, and ...

Technical Architect - Data, Analytics & AI

Akron, OH · Hybrid

$61 - $78.50/hr

Define and maintain technical standards for enterprise data management, analytics platforms, and AI enablement capabilities. * Design and guide datacentric and AIenabled initiatives , supporting the ...

Showing results 41-60

Data Analytics Manager information

See Ohio salary details

$29.5K

$92.4K

$163.5K

How much do data analytics manager jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data analytics manager in Ohio is $92,355.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,700.00 and $119,300.00 per year, depending on experience, location, and employer.

How do data analytics managers typically collaborate with stakeholders from non-technical departments?

Data Analytics Managers often act as a bridge between technical data teams and non-technical stakeholders, such as marketing, finance, or operations. They translate complex data insights into actionable recommendations and ensure that analyses align with business objectives. Regular communication, tailored presentations, and workshops are common practices to ensure all stakeholders understand the value and limitations of analytical findings. This collaborative approach helps drive data-driven decision-making across the organization.

What are the key skills and qualifications needed to thrive as a data analytics manager?

To thrive as a Data Analytics Manager, you need strong analytical skills, expertise in statistical methods, and a background in data science or a related field, often supported by a bachelor's or master's degree. Proficiency with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms like Python or R is typically required, along with experience in managing data projects. Leadership, strategic thinking, and effective communication are important soft skills for leading teams and translating data insights into actionable business strategies. These skills ensure that analytical initiatives drive business value and support informed decision-making across the organization.

What does a data analytics manager do?

A Data Analytics Manager oversees data analysis operations and leads a team of analysts to extract actionable insights from data. They are responsible for managing data-driven projects, ensuring data integrity, and presenting findings to help guide business decisions. Their role often involves collaborating with various departments, setting analytic strategies, and ensuring that the team uses the most effective tools and methodologies. Additionally, they may handle hiring, training, and performance reviews of analytics staff.

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

AspectData Analytics ManagerData Analyst
ResponsibilitiesOversees analytics projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to generate reports
Required SkillsLeadership, project management, advanced analyticsData manipulation, statistical analysis, visualization
QualificationsBachelor's or Master's in Data Science, Analytics, or related fields; certifications like CAP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentCorporate offices, analytics teams, cross-department collaborationData teams, business units, often in office or remote settings

In summary, a Data Analytics Manager leads analytics teams and strategies, requiring leadership skills and advanced certifications, while a Data Analyst focuses on data processing and reporting, with more technical and analytical tasks. Both roles are essential in data-driven organizations and often work closely together.

What are the most commonly searched types of Data Analytics jobs in Ohio? The most popular types of Data Analytics jobs in Ohio are:
What are popular job titles related to Data Analytics Manager jobs in Ohio? For Data Analytics Manager jobs in Ohio, the most frequently searched job titles are:
What cities in Ohio are hiring for Data Analytics Manager jobs? Cities in Ohio with the most Data Analytics Manager job openings:
Infographic showing various Data Analytics Manager job openings in Ohio as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $92,355 per year, or $44.4 per hour.

Quant Analytics Manager

JPMorgan Chase & Co

Columbus, OH • On-site

Full-time

Medical, Retirement

Re-posted 28 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 493 frontline employees who took The Breakroom Quiz

73rd of 170 rated banks


Job description

Job Description

Join our Distribution Analytics Strategy Team as a Quant Analytics Vice President and play a pivotal role in optimizing our Branch Network. This position offers significant opportunities for career growth, skill development, and the ability to drive impactful business decisions through advanced analytics. You'll collaborate with talented colleagues to develop innovative solutions that enhance customer engagement and support strategic investments in our branches.

As the Quant Analytics Vice President, you will lead the delivery of analytics and insights to inform strategies for network optimization, new branch development, the future role of branches, and ATM strategy. You will work closely with cross-functional teams-including finance, real estate, and product-to leverage both internal and external data sources. You will communicate findings to stakeholders, translating insights into measurable actions that drive business performance. You will partner across the Consumer and Community Bank to understand business needs, develop solutions, and champion analytics best practices. Your leadership will support strategic analysis, facilitate holistic cross-functional learning, and ensure high data quality and reduced redundancy.

Job Responsibilities

  • Build and foster partnerships across the organization to support Branch Network Optimization strategies.
  • Lead the design and execution of solutions that integrate data from multiple sources for strategic analytics and reporting.
  • Analyze branch engagement, customer behaviors, cross-LOB analytics, and performance to identify actionable insights.
  • Present insights to senior leaders through compelling written and oral presentations, influencing marketing strategy and investment decisions.
  • Collaborate with analytic and non-analytic teams to facilitate holistic, cross-functional learning.
  • Champion data and analytics best practices across the organization.

Required Qualifications, Capabilities, and Skills

  • Master's degree in a relevant quantitative field (e.g., Statistics, Economics, Analytics, Mathematics, or related).
  • 6+ years of industry experience in analytical roles (e.g., finance analytics, marketing analytics, customer insights).
  • 6+ years of hands-on experience with a broad range of analytics platforms, languages, and tools (e.g., Snowflake, Alteryx, SAS, Tableau, Python, Excel Pivot); experience with big data platforms required.
  • Excellent communication skills with the ability to convey complex information clearly and persuasively to business partners through 
  • Strong storytelling skills, especially through PowerPoint presentations.
  • Expert knowledge of quantitative methods for marketing analytics, including customer segmentation, targeting, and digital analytics.

Preferred Qualifications, Capabilities, and Skills

  • Experience leveraging Large Language Models (LLMs) and related AI technologies to drive business insights and process efficiencies.
  • Proven ability to design and implement solutions that integrate LLMs with enterprise data systems, enabling efficient, data-driven decision-making.
  • Strong programming skills in Python and familiarity with modern ML/NLP frameworks, with a focus on building scalable and secure analytics processes.

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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