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Lead Data Analyst Jobs in Ohio (NOW HIRING)

RR Donnelley

Lead Data Analyst

Westlake, OH · On-site +1

The Lead Data Analyst serves as a strategic advisor, guiding measurement strategies and translating data into innovative frameworks for cross-channel success. This roles partners directly with ...

RR Donnelley

Lead Data Analyst

Westlake, OH

The Lead Data Analyst serves as a strategic advisor, guiding measurement strategies and translating data into innovative frameworks for cross-channel success. This roles partners directly with ...

RR Donnelley

Lead Data Analyst

Westlake, OH · On-site

The Lead Data Analyst serves as a strategic advisor, guiding measurement strategies and translating data into innovative frameworks for cross-channel success. This roles partners directly with ...

Belcan

Data Analyst

West Chester, OH

$35 - $38/hr

Lead data-driven analysis for mid-term parts risk assessment to support future delivery commitments * Drive Aerospace Engine Operations (AEO) initiatives, including inventory strategy, rate readiness ...

Impower.ai

Practice Lead - Data

Columbus, OH · On-site

Role Summary The Practice Lead - Data & Analytics is a technical and architectural leader within the Data & Analytics Practice, serving as a thought leader who supports the Practice Director in ...

centralins

Data Analyst

Van Wert, OH · Hybrid

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 ...

centralins

Data Analyst

Dublin, OH · Hybrid

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 ...

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All JobsLead Data Analyst JobsLead Data Analyst Jobs in Ohio

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 24, 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.

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 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 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.

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 popular job titles related to Lead Data Analyst jobs in Ohio?

For Lead Data Analyst jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Lead Data Analyst jobs in Ohio look for?

The top searched job categories for Lead Data Analyst jobs in Ohio are:

What cities in Ohio are hiring for Lead Data Analyst jobs?

Cities in Ohio with the most Lead Data Analyst job openings:

Lead Data Analyst jobs near you
Infographic showing various Lead Data Analyst job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $78,566 per year, or $37.8 per hour.

Lead Data Analyst

RR Donnelley

Westlake, OH • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Job description

Company Description
RRD is a leading global provider of marketing, packaging, print, and supply chain solutions that elevate engagement across the complete customer journey. The company offers the industry's most trusted portfolio of creative execution and world-wide business process consulting, with services designed to lower environmental impact. With 22,000 clients, including 93% of the Fortune 100, and 32,000 employees across 28 countries, RRD brings the expertise, execution, and scale designed to transform customer touchpoints into meaningful moments of impact.
Job Description
The Lead Data Analyst serves as a strategic advisor, guiding measurement strategies and translating data into innovative frameworks for cross-channel success. This roles partners directly with clients to design, implement, and evolve marketing & data analytics programs. It leads engagements that require integration of multi-channel data, development of insights frameworks, and translates analytics into business outcomes across verticals.
Responsibilities:
  • Partner with client leaders to co-create marketing analytics strategies that support personalization, attribution, and media mix optimization.
  • Translate complex customer behavior data into scalable frameworks that inform future marketing innovation across channels.
  • Lead cross-functional analytics initiatives and enterprise-wide insights projects.
  • Represent analytics expertise in insight development, client consultations, strategic planning, and solution design.
  • Provide thought leadership across domains and mentor others in advanced analytics techniques.
  • Design and oversee strategic marketing science initiatives, including test frameworks, predictive modeling, and audience performance measurement.

Qualifications
Education:
  • 4 Year / Bachelors Degree In a quantitative field (Minimum)
  • Graduate Degree (Preferred)

Experience:
  • 9 years experience in Advanced Marketing or Product Analytics roles
  • Industry experience: Business vertical experience in. Retail, Financial Services, Automotive , or CPG strongly preferred.
  • Programming & Data Extraction: Expertise in Python and/or R. Strong SQL proficiency is mandatory; candidates must be able to read data models, write efficient queries, and independently extract data for analytic projects with limited assistance.
  • Statistical & Modeling Acumen: Must possess a strong foundation in probability theory, as well as linear, logistic, and multinomial regression. Candidates must be able to develop custom models using modern machine learning ensembling techniques and software, as well as building custom solutions directly in R and Python.
  • Specialized Modeling: Must have experience building customer and/or store segmentation models. A forecasting background with the ability to build custom ARIMAX models, along with Marketing Mix and Multi-Touch Attribution experience, is strongly preferred. Causal analysis experience is highly desirable.
  • Market Research Knowledge: Foundational understanding of attitudinal research and segmentation approaches. Ideal candidates will have developed behavioral models predicting attitudinal segments.
  • Generative AI: Comfortable using generative AI to develop code, conduct research, summarize methodology, and to develop client-facing presentations.

Interpersonal, Leadership & Consulting Skills (Required)
  • Communication & Presentation: Strong communication and storytelling skills are an absolute must for this role. Candidates must be highly comfortable presenting to Executive-level clients.
  • Consultative Problem-Solving: Able to nimbly propose solutions to client problems. Although this is not a sales role, consultative selling skills are required for success.
  • Client Engagement: Strong active listening and documentation skills are required. The individual in this role must be able to identify solutions for clients that extend beyond their current request.
  • Leadership & Autonomy: While this is an Individual Contributor role, the expectation is that the individual will be able to lead projects and oversee the work of more junior analysts. Must be highly resourceful, capable of developing relationships with Marketing Technologies/IT and Account Management, and able to independently develop solutions with minimal supervision.
  • Work Style: Thrives in a dynamic, fast-paced environment. Energized by new challenges with an optimistic outlook, resilient to changes, and nimble in shifting direction quickly as needed.

Advanced Technical Stack & Tools (Flexible/Preferred)
  • Cloud & Database Platforms: Experience with modern cloud database solutions such as Snowflake, AWS, Databricks, Microsoft Fabric, etc. Direct experience using Microsoft Fabric to build models for clients would be ideal.
  • Modern Data Stack: Strongly prefer experience with model development in a modern technology stack, specifically PySpark, Snowpark, and Pandas.
  • Data Architecture: Understanding of graph databases and NoSQL, alongside experience working with semi-structured and unstructured data, is strongly desired.
  • Data Engineering & MLOps: Azure DevOps, Git, or similar version control background is essential. Must have basic data engineering skills and be comfortable collaborating with data engineers to develop production processes.
  • Web Analytics Integration: Google Analytics and BigQuery experience. Candidates must know how to integrate customer engagement data into analytic and modeling projects.
  • Business Intelligence & Visualization: Familiarity with Business Intelligence solutions such as Tableau, Power BI, SiSense, and other platforms. The ideal candidate would have some skill using these tools to generate data visualizations.

Additional Information
RRD's current salary range for this role is $107,000 to $171,2000 / year. The salary range may be adjusted based on the applicable geographic location of the hired employee, and the range may change in the future. At RRD, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions may vary based upon, but not limited to education, skills, experience, proficiency, performance, shift and location. Depending on the role, in addition to base salary, the total compensation package may also include participation in a bonus, commission or incentive program. RRD's benefit offerings include medical, dental, and vision coverage, paid time off, disability insurance, 401(k) with company match, life insurance and other voluntary supplemental insurance coverages, plus parental leave, adoption assistance, tuition assistance and employer/partner discounts.
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RRD is an Equal Opportunity Employer, including disability/veterans
At RRD, we value innovation, authenticity, and integrity. To uphold the security and fairness of our hiring process, we ask that candidates refrain from using AI tools during interviews to ensure an authentic and secure experience. We appreciate your cooperation as we work to maintain a transparent and equitable hiring process.
All employment offers are contingent upon the successful completion of both a pre-employment background and drug screen.

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