1

Lead Data Analyst Jobs in Ohio (NOW HIRING)

They are seeking a Lead Data & Analytics Architect to define and evolve the enterprise application and information architecture, ensuring data initiatives meet analytical needs while enabling future ...

Data Analyst Senior or Lead

Cleveland, OH ยท Hybrid

$81K - $131K/yr

As a senior or lead data analyst - integration planning, you'll support mergers and acquisitions, business transformations, and other enterprise initiatives by maintaining key integration planning ...

Lead the design of analytical data models, including dimensional and star schema designs for curated, businessready data layers. * Design and oversee endtoend data pipelines, including sourcetotarget ...

Lead the design of analytical data models, including dimensional and star schema designs for curated, businessready data layers. * Design and oversee endtoend data pipelines, including sourcetotarget ...

Lead the design of analytical data models, including dimensional and star schema designs for curated, businessready data layers. * Design and oversee endtoend data pipelines, including sourcetotarget ...

Lead the design of analytical data models, including dimensional and star schema designs for curated, businessready data layers. * Design and oversee endtoend data pipelines, including sourcetotarget ...

Lead the design of analytical data models, including dimensional and star schema designs for curated, business-ready data layers. * Design and oversee end-to-end data pipelines, including source-to ...

Join Central Insurance as a Data Analyst where you will play a pivotal role in transforming data ... Ability to lead, motivate & influence without having formal authority * Ability to act as a thought ...

Join Central Insurance as a Data Analyst where you will play a pivotal role in transforming data ... Ability to lead, motivate & influence without having formal authority * Ability to act as a thought ...

next page

Showing results 1-20

Lead Data Analyst information

See Ohio salary details

$32.3K

$78.6K

$129.3K

How much do lead data analyst jobs pay per year?

As of Aug 6, 2026, the average yearly pay for lead data 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.

How does a lead data analyst typically collaborate with cross-functional teams to drive data-driven decision making?

As a Lead Data Analyst, you'll frequently work alongside stakeholders from product, engineering, marketing, and operations to identify key business questions and translate them into actionable insights. This role often involves leading data projects, coordinating with data engineers for reliable data pipelines, and presenting findings to both technical and non-technical audiences. Strong communication and project management skills are essential, as you'll bridge gaps between data and business objectives, ensuring that analytical strategies effectively support organizational goals.

What is a lead data analyst?

Lead Data Analysts are experienced professionals who oversee data analysis projects and teams. They are responsible for collecting, interpreting, and presenting complex data to support business decision-making. In addition to performing advanced data analysis, they mentor junior analysts, collaborate with other departments, and ensure data quality and integrity. Their role often includes setting analysis methodologies, developing dashboards or reports, and providing actionable insights to stakeholders. Lead Data Analysts play a key role in driving data-driven strategies within an organization.

How much does a lead data analyst make in the US?

A lead data analyst in the US typically earns between $80,000 and $120,000 annually, depending on experience, industry, and location. Seniority, technical skills like SQL and Python, and certifications can influence salary levels.

What are the key skills and qualifications needed to thrive as a Lead Data Analyst, and why are they important?

To thrive as a Lead Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid understanding of data modeling, typically supported by a degree in mathematics, statistics, computer science, or a related field. Expertise in tools such as SQL, Python, R, and data visualization platforms like Tableau or Power BI, along with experience in advanced analytics or certification in related technologies, is often required. Outstanding leadership, problem-solving abilities, and effective communication skills help you translate complex data insights to diverse stakeholders and guide analytical teams. These competencies are crucial for driving data-driven decision-making and ensuring high-impact business outcomes.

What is the difference between Lead Data Analyst vs Data Scientist?

AspectLead Data AnalystData Scientist
Required CredentialsBachelor's degree in Data Analytics, Statistics, or related field; often certifications in data toolsBachelor's or Master's in Data Science, Computer Science, or related; certifications in machine learning or data modeling
Work EnvironmentBusiness teams, analytics departments, reporting focusResearch, modeling, algorithm development, often in R&D or tech firms
Employer & Industry UsageFinance, healthcare, retail, and corporate analytics teamsTech companies, research institutions, startups, and industries requiring advanced modeling

While both roles analyze data, Lead Data Analysts focus on interpreting data to inform business decisions, whereas Data Scientists develop models and algorithms to extract deeper insights. The roles often overlap but differ mainly in technical complexity and scope.

What cities in Ohio are hiring for Lead Data Analyst jobs? Cities in Ohio with the most Lead Data Analyst job openings:
Infographic showing various Lead Data Analyst 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 $78,566 per year, or $37.8 per hour.

Lead Data Analyst - EAD or GC or USC ONLY

USM

Dublin, OH โ€ข On-site

Other

Re-posted 25 days ago


Job description

Company Description

USM Business Systems Inc. is a quickly developing worldwide System Integrator, Software and Product Development, IT Outsourcing and Technology assistance supplier headquartered in Chantilly, VA with off-shore delivery centers in India. We offer world-class ability in giving most astounding quality and administrations through industry best practices planned to convey remarkable worth to our customers.

Utilizing our industry knowledge, administration service offering expertise and innovation abilities, we distinguish new business and innovation slants and create answers for help customers around the globe, giving top of the line solid and practical IT benefits which are cost effective services.

Established in 1999, the organization has corner qualities in building and dealing with a Business Oriented IT environment with rich involvement in technology innovation, ERP and CRM counselling, Product Engineering, Business Intelligence, Data Management, SOA, BPM, Data Warehousing, SharePoint Consulting and IT Infrastructure. Our other offerings include modified solutions and administrations in ERP, CRM, Enterprise architecture, offshore advisory services ,e-commerce, Social , Mobile, Cloud, Analytics (SMAC) and DevOps.

USM, a US ensured Minority Business Enterprise (MBE) is perceived as one of the fastest developing IT Systems Integrator in the Washington, DC zone. Most as of late, USM was positioned #9 on the rundown of the Top administrations organizations in the DC Metro Area - Washington Business Journal (2011). We are a project-driven firm that reliably meets the IT needs of our State and Government customers through development and business keenness.

Job Description

Lead Data Analyst - EAD or GC or USC ONLY

Dublin, OH

Top Three Skills:

1. Data profiling
2. Source to target Mapping
3. Data Modeling- Logical, Physical, Conceptual
4. Data visualization
5. SQL experience is also very important- We will be trying to use a tool called Informatica Data Quality to conduct data profiling. If for some reason we run into issues using this tool, we fall back to SQL.
6. LEADERSHIP and COMMUNICATION- This position is viewed as a Director-level role in the organization. Candidates need to be able to effectively and confidently describe and execute on Data Analysis/Modeling strategies for the program.

Job Description:


Position likely to be contract to perm.
A Lead data analyst performs a variety of tasks related to collecting, organizing and interpreting data. A data analyst will be responsible for inspecting, cleansing, transforming and modeling data. A data analyst wll have to deal with uncertainty about data information completeness and quality. A data analyst will play a dominant role in business intelligence, advanced analytics, data integration and master data management efforts and will be involved with traditional application development projects where necessary. Role accountabilities
A data analyst will have a natural inclination and passion toward problem solving in a disciplined process oriented fashion. A data analyst will
- Critically evaluates information gathered from multiple sources, reconciles conflicts, classifies the information in logical categories
- Uses different visualization techniques and present the results of data exploration exercises
- Understands the flow of data, business processes/technical interfaces that would be created or impacted
- Documents the source to target mappings for both data integration as well as web services (consumer/provider mappings) that can be easily understood by the project team members with data quality and transformation rules
- Identifies and documents sources of existing data as well as the new data. Understands use of master and reference data including sources and contributors.
- Collaborates with data scientists and business partners and conducts data profiling and predictive analysis using a variety of standard tools
- Creates conceptual, logical and physical data models and determines the most appropriate method to represent the data for business consumption. This includes all forms of physical representation of data, such as relational, dimensional, object, key-value (such as column families), and graph. Please note this list is not all inclusive.
- Have joint accountability with data stewards and data architects on the projects to ensure conformance to enterprise data governance policies around information risk and data protection guidelines. Data analysts should be familiar with common policies around data masking and protection schemes.
Recommended experiences
Data source identification, data profiling, interpretation of patterns and trends, assessment of and improvement of data quality, versatility with visualization tools and techniques to share analysis findings. It is beneficial for individuals to have worked as a data analyst in any of the following types of projects:
Analytically Intensive - Intended to draw/develop insights from data that is collected
Operationally Data Intensive - Intended to create authoritative data sources that are essential to core transactional processing
Data Integration Intensive - Requires the merging of many data types to satisfy business requirements
The Requirements Analyst translates business and system needs into Solution Requirements for Designers, Developers and Testers to consume and uses Requirements elicitation, analysis, specification, verification and management techniques for the purpose. Requirements Analysts are engaged in work efforts at all scales ranging from minor defect fixes and enhancements to development of new applications. They are also involved in all types of solution approaches (custom development, package implementation etc.) and solution domains (business applications, data warehouses, web services, infrastructure etc.)
Contributes overall strategic vision of the organization and integrates a broad range of ideas and initiatives regarding IT Analysis. Serves as the top level technical contributor and lead for the most complex IT analysis initiatives. Recognized across the organization for IT analysis expertise. Undertakes the most complex IT analysis issues on projects involving high risk to the organization or that have an impact to multiple business units. Formulates and defines systems scope and objectives through research and fact-finding combined with an understanding of applicable business systems and industry requirements. With expert knowledge, develops or modifies the most complex information systems. Includes analysis of business and user needs, documenting requirements, and revising existing system log difficulties as necessary. Guides and advises less-experienced analysts . Consults on the development and implementation of IT analysis initiatives to ensure that information systems products and services meet organization standards.

Additional Information:




Work Environment:


Large corporate IT environment. Will work in Plaza 3, one of Nationwide's buildings downtown in Columbus, Ohio.
The specific work environment consists of agile development style, with a very collaborative team.


Interview Information:


2-step; can both be phone, skype or in-person depending on location.


Who is the Internal/External Customer:

All employees associated directly and indirectly to Tier 1 or Tier 2 programs (Large scale Projects that typically span an entire Business Unit).
For these specific programs:
Momentum: Any customer that has a retirement plan from NW will be impacted by this major system change
Actuarial Modernization: This is to better support customers who purchase financial products from Nationwide Insurance.


Impact to the Internal/External Customer:

The DM&A group provides Data strategy, governance, oversight, and execution for major programs. This ensures that the areas that consume the data have accurate and reliable data to make better business decisions.


Business Challenge:


The Data Management and Analytics team is growing due to increased demand from top tier programs across all lines of business.


EVP:

Opportunity to work for a top 5 insurer in the US. Also, this team supports only major Tier 1 and Tier programs that are highly visible across the organization. The selected candidate will work with a wide array of cutting edge technologies related to MDM, Big Data, and Data Governance.


Non-Technical Skills:


Must be an excellent communicator and possess high-level leadership skills. These individuals are responsible for gaining rapport from the stakeholders and ultimately 'selling' solutions.


Why is position open?:


Additional programs are being added to DM&A's portfolio


Navya

navyar@usmsystems.com

703-953-1819

Additional Information

If you are interested in the below position please forward your profile toย navyar@usmsystems(dot)comย or call me onย 703-953-1819.