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Data Analytics Lead Jobs in Ohio (NOW HIRING)

The Data Analytics Lead drives enterprise analytics across construction operations, project management, finance, and corporate functions. The role directly supervises, coaches, and develops a small ...

Serves as the chief data explorer, defining data needs, leading analytic planning and execution, and creating visualizations and findings that fuel the broader narrative. * Client Relationship Lead ...

Serves as the chief data explorer, defining data needs, leading analytic planning and execution, and creating visualizations and findings that fuel the broader narrative. * Client Relationship Lead ...

Serves as the chief data explorer, defining data needs, leading analytic planning and execution, and creating visualizations and findings that fuel the broader narrative.Client Relationship Lead (CRL)

The Lead Quantitative Analytics Associate leverages advanced mathematical knowledge and analysis to ... Data controls * Hypothesis testing / root-cause analysis * Leverage and anticipate considerations ...

You will drive business growth, lead strategic client relationships, and mentor the next generation ... data ecosystems, with a track record of designing comprehensive analytics, measurement, and ...

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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 Sep 1, 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 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 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 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 the most commonly searched types of Data Analytics Lead jobs in Ohio?

The most popular types of Data Analytics Lead jobs in Ohio are:

Infographic showing various Data Analytics Lead job openings in Ohio as of August 2026, with employment types broken down into 83% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $117,742 per year, or $56.6 per hour.

Data Analytics Lead

Rudolph Libbe Group

Walbridge, OH • On-site

Other

Posted 4 days ago


Job description

Description
The Rudolph Libbe Group is a leading, full-service provider of construction and facility solutions headquartered in Walbridge, Ohio. Founded in 1955, RLG operates as a single-source partner for clients across diverse industries, offering expertise in construction management, design-build, energy solutions, and ongoing facility maintenance.
We are seeking an experienced Data Analytics Lead to join our team in Northwest Ohio. The Data Analytics Lead drives enterprise analytics across construction operations, project management, finance, and corporate functions. The role directly supervises, coaches, and develops a small BI team, while personally building the data models, dashboards, and analytical solutions that improve job-cost visibility, WIP reporting, forecasting, and labor analysis. It translates business needs into scalable data products and ensures reporting is trustworthy, performant, and governed.
JOB RESPONSIBILITIES
-Lead the design, development, testing, and release of enterprise dashboards, semantic models, operational reports, and self-service analytics solutions.
-Deliver complex analysis supporting job cost, committed costs, WIP, earned value, forecasting, labor utilization, equipment, procurement, cash flow, and project controls.
-Lead and develop the BI team through workload planning, quality review, performance feedback, coaching, cross-training, recruiting, and onboarding.
-Manage the analytics intake queue and prioritize projects, enhancements, and production support based on operational and financial impact.
-Partner with internal stakeholders, application owners, and implementation vendors to define requirements and deliver scalable analytics solutions.
-Establish consistent data definitions, calculation logic, source-to-target mappings, documentation, and reporting standards across Finance and Operations.
-Identify and address data-quality, integration, reconciliation, security, and access-control risks affecting critical financial, employee, customer, and project data.
-Support data warehouse, integration, MDM, and data-governance initiatives by defining business requirements, ownership, stewardship, controls, and operational readiness. Escalate material scope, timeline, data-quality, security, and integration risks to the Enterprise Applications Director.
-Drive adoption of governed analytics solutions through training, documentation, stakeholder feedback, usage monitoring, and retirement of approved redundant reports and manual processes.
SKILLS
-Advanced proficiency in SQL and a leading BI/visualization platform, such as Power BI or Tableau.
-Strong capabilities in data modeling, dashboard design, data validation, requirements gathering, and report-performance optimization.
-Expertise in enterprise dashboards, semantic models, operational reporting, and self-service analytics delivery.
-Working knowledge of ERP and project-management data, including job cost, commitments, forecasts, labor, billing, AP, AR, general ledger, and project controls.
-Foundational knowledge of data warehouse architecture, including source-system integration, ETL/ELT, dimensional or semantic models, data lineage, refresh processes, and role-based access controls.
-Ability to establish and maintain data definitions, calculation logic, source-to-target mappings, reconciliations, exception reporting, and reporting documentation.
-Knowledge of data-governance and MDM practices, including data ownership, stewardship, business definitions, data-quality rules, approval workflows, and change management.
-Strong stakeholder engagement, team coaching, cross-functional leadership, vendor coordination, and executive communication skills.
EDUCATION/EXPERIENCE
-Bachelor's degree in Data Analytics, Information Systems, Business, Finance, Construction Management, or a related field; equivalent relevant experience may be considered.
-Five or more years of experience in data analytics, business intelligence, reporting, financial systems, enterprise applications, or related disciplines.
-Two or more years of experience leading analysts, BI developers, or data-focused project teams.
-Experience supporting a data warehouse, reporting modernization, system integration, or data-governance initiative; direct implementation ownership preferred.
-Experience in construction, engineering, real estate, professional services, manufacturing, or another project-based environment preferred.
-Experience with construction ERP, project-management, estimating, field-management, CRM, HRIS, document-management, cloud data platforms, APIs, middleware, ETL/ELT tools, or data warehouse environments preferred.
Interested parties should apply on our website at www.rlgbuilds.com/careers.
The Rudolph/Libbe Companies, Inc. is an Equal Employment Opportunity Employer.