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Customer Analytics Jobs in Ohio (NOW HIRING)

Join our Consumer Banking Customer Analytics team, where you'll collaborate with creative thinkers and problem solvers to deliver impactful research and insights. This role offers significant ...

Oversee commercial analytics, executive scorecards, business reviews, dashboards, KPI reporting, pricing and contract analytics, and account planning effectiveness tools. * Direct customer ...

CRM Analytics Engineer

Cincinnati, OH · On-site

$105K - $130K/yr

Working within Salesforce and CRM Analytics (CRMA), you will support the datasets, dashboards, and reporting that Sales, Marketing, and Customer Success rely on to measure performance and make data ...

Showing results 21-40

Customer Analytics information

See Ohio salary details

$10

$18

$28

How much do customer analytics jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for customer analytics in Ohio is $18.70, according to ZipRecruiter salary data. Most workers in this role earn between $15.53 and $20.58 per hour, depending on experience, location, and employer.

What is customer analytics?

Customer analytics is the process of collecting and analyzing data about customers’ behaviors, preferences, and interactions with a business. This information helps companies understand their customers better, segment their audience, and tailor products, services, and marketing strategies to meet specific needs. By leveraging customer analytics, organizations can enhance customer satisfaction, improve retention rates, and increase overall business performance. It often involves the use of data analysis tools, customer relationship management (CRM) systems, and predictive modeling to make informed decisions.

What are the key skills and qualifications needed to thrive in customer analytics?

To thrive in Customer Analytics, you need strong analytical skills, proficiency in statistics, and a background in fields like mathematics, business, or data science. Familiarity with technical tools such as SQL, Python or R, and experience with data visualization platforms like Tableau or Power BI are typically required. Excellent communication, problem-solving, and business acumen are important soft skills for translating data insights into actionable strategies. These skills ensure you can extract meaningful customer insights, drive business decisions, and contribute to organizational growth.

How do professionals in customer analytics typically collaborate with marketing and product teams?

Customer Analytics professionals frequently work closely with marketing and product teams to translate data insights into actionable strategies. They often participate in cross-functional meetings, sharing findings from customer behavior analyses to help refine marketing campaigns or inform product enhancements. This collaboration requires strong communication skills, as they must present complex data in a way that is accessible to non-technical stakeholders. The role often bridges the gap between raw data and business strategy, making teamwork and adaptability essential for success.

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

AspectCustomer AnalyticsCustomer Data Analyst
Primary FocusAnalyzing customer data to identify trends and insights for strategic decision-makingCollecting, cleaning, and interpreting customer data for reporting and operational purposes
Skills & CertificationsData analysis, statistical skills, knowledge of analytics tools, possibly marketing backgroundData management, SQL, Excel, basic analytics skills, often with a focus on data reporting
Work EnvironmentMarketing, business intelligence teams, often in data-driven companiesData teams, IT departments, or customer service units within organizations

Customer Analytics professionals focus on deriving strategic insights from customer data to inform marketing and business decisions. Customer Data Analysts handle data collection and reporting tasks to support operational needs. While both roles require data skills and work with customer data, Customer Analytics emphasizes strategic analysis, whereas Customer Data Analysts focus on data management and reporting.

What does a customer analytics do?

A customer analytics professional analyzes customer data to identify patterns, preferences, and behaviors that can inform marketing strategies and improve customer experience. They often use tools like SQL, Excel, and data visualization software to interpret large datasets and support business decision-making.

What are the most commonly searched types of Customer Analytics jobs in Ohio?

The most popular types of Customer Analytics jobs in Ohio are:

What are popular job titles related to Customer Analytics jobs in Ohio?

For Customer Analytics jobs in Ohio, the most frequently searched job titles are:

What cities in Ohio are hiring for Customer Analytics jobs?

Cities in Ohio with the most Customer Analytics job openings:

Infographic showing various Customer Analytics job openings in Ohio as of August 2026, with employment types broken down into 84% Full Time, 14% Part Time, and 2% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $38,893 per year, or $18.7 per hour.

Quant Analytics Manager

JPMorgan Chase & Co

Columbus, OH • On-site

Full-time

Medical, Retirement

Re-posted 13 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

71st of 171 rated banks


Job description

Are you passionate about understanding customer needs and driving innovation through data? Join our Consumer Banking Customer Analytics team, where you'll collaborate with creative thinkers and problem solvers to deliver impactful research and insights. This role offers significant opportunities for career growth, skill development, and the chance to make a real difference for our customers and business.

Job Summary:
As a Quant Analytics Manager on the Customer Segmentation & Research team, you will guide end-to-end quantitative studies that inform product and business strategy. You'll leverage your expertise in SQL, Python, and statistical methods to analyze diverse datasets, synthesize findings, and deliver executive-quality insights. Your work will help shape the next generation of research, drive process improvements, and foster a culture of empathy and innovation. You'll partner closely with product leadership, senior business executives, and cross-functional teams to champion user experience and integrate research into design and development.

Key Responsibilities:

  • Lead quantitative research studies, including survey and big data analysis
  • Collaborate with internal and external stakeholders, including senior executives
  • Drive process improvements and contribute to the vision for research
  • Communicate findings clearly and deliver top-quality insights
  • Champion user experience research and integrate into product development
  • Train and mentor junior team members

Required Qualifications, Capabilities, and Skills:

  • 5+ years of experience planning and executing user research studies
  • Strong programming skills in SQL and/or Python; experience with large datasets
  • Proficient in statistical concepts and methods
  • Strong analytical, problem-solving, and communication skills
  • Experience mentoring and training junior team members
  • Ability to drive multiple initiatives with minimal guidance
  • Familiarity with banking and finance preferred
  • Experience with B2B research a plus

Preferred Skills and Qualifications:

  • PhD/Master or equivalent in Statistics, Mathematics, Computer Science, Data Science, Social Science, or relevant fields

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 Digital team is dedicated to creating innovative, industry-leading products and experiences that help customers access, share and control their financial data so they can make smart decisions with their money. Teams enable innovation while adhering to the firm's data sharing principles of security, customer control and convenience, and privacy.

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