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Data Analytics Lead Jobs in Ohio (NOW HIRING)

Support the aligned Data & Analytics lead for their product by identifying data required to be integrated into analytics platforms to support analytics projects. * Document requirements for the ...

Support the aligned Data & Analytics lead for their product by identifying data required to be integrated into analytics platforms to support analytics projects. * Document requirements for the ...

Support the aligned Data & Analytics lead for their product by identifying data required to be integrated into analytics platforms to support analytics projects. * Document requirements for the ...

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Data Analytics Lead information

See Ohio salary details

$57.5K

$117.7K

$166.4K

How much do data analytics lead jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data analytics lead in Ohio is $117,742.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,200.00 and $145,900.00 per year, depending on experience, location, and employer.

What does a typical day look like for a data analytics lead?

A typical day for a Data Analytics Lead often involves overseeing a team of analysts, scoping and prioritizing new data projects, and translating business questions into analytic solutions. You might spend part of your day working hands-on with data, reviewing code or dashboard outputs, and part collaborating closely with business stakeholders to clarify requirements and share actionable insights. Additionally, you'll provide mentorship to the analytics team and ensure data quality and consistency across projects. This balanced mix of technical, managerial, and collaborative work makes the role both challenging and rewarding.

What does a data analytics lead do?

A Data Analytics Lead is responsible for overseeing data analysis activities, guiding a team of analysts, and translating business needs into data-driven insights. They develop data strategies, ensure data accuracy, and communicate findings to stakeholders to drive decision-making. This role involves using analytical tools, managing data infrastructure, and collaborating with various departments to optimize business performance. Strong leadership, technical expertise, and problem-solving skills are essential for success in this position.

What are the key skills and qualifications needed to thrive in the data analytics lead position, and why are they important?

To thrive as a Data Analytics Lead, you need expertise in data analysis, statistical modeling, and data visualization, typically supported by a degree in a quantitative field and several years of analytics experience. Mastery of tools such as SQL, Python or R, BI platforms (like Tableau or Power BI), and often certifications in analytics or data science are highly valued. Strong leadership, project management, and communication skills help you effectively guide teams and translate data insights to stakeholders. These capabilities ensure you can drive data-driven decision-making and lead successful analytics initiatives in dynamic business environments.

What are popular job titles related to Data Analytics Lead jobs in Ohio? For Data Analytics Lead jobs in Ohio, the most frequently searched job titles are:
Infographic showing various Data Analytics Lead job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $117,742 per year, or $56.6 per hour.

Data Owner Lead

JP Morgan Chase

Columbus, OH • On-site

Full-time

Medical, Retirement

Re-posted 18 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

As a Vice President Data owner, you will be using data to accelerate product development, drive business growth, and improve the Chase customer experience. A successful D2.0 Data Owner will be important to the firm's agenda of enabling the business to drive faster innovation through the use of its data, while simultaneously ensuring that data is of good quality and well-protected. This role is accountable for all data in the D2.0 product that is created, provisioned, or consumed to support business objectives, advanced analytics, business operations, and reporting. The Data Owner serves as a member of the product team, collaborating with the Product Owner, design lead, and technology lead to ensure that the product delivers data in a manner consistent with the quality and safety requirements of the business.

Job Responsibilities

  • Create plans for the development and delivery of product data to support strategic business objectives, business operations, advanced analytics, and metrics and reporting.
  • Work with key partners to drive an understanding of the data and its use within the business.
  • Provide subject matter expertise with respect to the content and use of data in the product and associated business area.
  • Identify the scope of critical data within their product, ensuring that the prioritized data is well-documented as to its meaning and purpose, and classified accordingly with metadata to enable its understanding and control.
  • Support the aligned Data & Analytics lead for their product by identifying data required to be integrated into analytics platforms to support analytics projects.
  • Document requirements for the accuracy, completeness, and timeliness of data within the product, and coordinate resources to deliver data quality requirements.
  • Influence resources to resolve identified data issues in a timely manner.
  • Develop processes and procedures to identify, monitor, and mitigate data risks for data in the product, including risks related to data protection, data retention and destruction, data storage, data use, and data quality.
  • Manage the execution of tasks to comply with Firmwide policies, standards, and procedures related to the integrity and protection of data in the product.
  • Develop relationships with product data delivery partners and data consumers, including leaders in the Business, Technology, Analytics, Operations, Risk and Control functions.
  • Manage the execution of a set of milestones. Understand and mitigate risks, bottlenecks, and inefficiencies in the product development lifecycle with respect to data.
  • Track and manage workstreams and associated KPIs to ensure deliveries are successful.
  • Manage direct or matrixed staff to execute specific data-related tasks.

Required qualifications, capabilities and skills

  • 6+ years of industry experience in a data-related field.
  • Experience managing delivery across multiple workstreams with varying timelines.
  • Subject matter expertise in business or product data or processes.
  • Technical knowledge of data management and governance, big data platforms, or data architecture.
  • Demonstrated ability to manage delivery timelines, and ensure our product and organization is on track to meet our goals.
  • Proven ability to execute via internal partnerships.
  • Strong interpersonal and communication skills. 
  • Ability to articulate complex technical concepts to senior audiences.
  • Structured thinker with good business acumen.
  • Understanding of Agile technological development methodology.
  • Bachelor's degree required.

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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