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Engineering Data Analytics Lead Jobs (NOW HIRING)

The Data Analytics Lead drives enterprise analytics across construction operations, project ... developers, or data-focused project teams. -Experience supporting a data warehouse, reporting ...

Overview ABOUT THE POSITION Transportation Data Analytics Lead - Transportation Engineering Locations: Hybrid work model with flexibility to work from any VHB office within our footprint. Explore our ...

Must Haves: 2-5 years of experience in a data analytics lead role Hands on experience using SQL or SAS and other query tools on large databases Knowledge of at least one statistical programming ...

Overview ABOUT THE POSITION Transportation Data Analytics Lead - Transportation Engineering Locations: Hybrid work model with flexibility to work from any VHB office within our footprint. Explore our ...

Overview ABOUT THE POSITION Transportation Data Analytics Lead - Transportation Engineering Locations: Hybrid work model with flexibility to work from any VHB office within our footprint. Explore our ...

CO · On-site

The Data Analytics Lead shapes how Primeritus uses data. This person architects our BI and analytics platform, teaches business users to think more broadly about their data and find their own answers ...

Utilize data analytics tools and software (e.g., Google Analytics, social media analytics platforms) to derive meaningful insights from media data.Integrate data from various sources to provide a ...

Data Analytics Lead Engineer

Irving, TX · Hybrid

$125K - $188K/yr

Citi is looking for a Data Analytics Lead Engineer to design, build, and operate scalable data ... This is a hands-on data engineering role where you will develop and maintain production-grade data ...

Citi is looking for a Data Analytics Lead Engineer to design, build, and operate scalable data ... This is a hands-on data engineering role where you will develop and maintain production-grade data ...

$75K - $99K/yr

Position Summary The Engineering Analytics Lead develops analytical models and technical datasets ... Bachelor's degree in Engineering, Data Science, Mathematics, or related field * Experience with ...

Collaborate with IT and data engineering on infrastructure priorities, ensuring analytics ... Lead project planning and workload prioritization for analytics initiatives; coordinate cross ...

The Digital Analytics Lead owns and advances the organization's Digital Analytics capability over ... Work hands-on with Data Engineering, Data Governance, and Business Intelligence teams to ensure ...

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Engineering Data Analytics Lead information

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$60.5K

$123.8K

$175K

How much do engineering data analytics lead jobs pay per year?

As of Sep 13, 2026, the average yearly pay for engineering data analytics lead in the United States is $123,849.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $153,500.00 per year, depending on experience, location, and employer.

What does an engineering data analytics lead do?

An Engineering Data Analytics Lead oversees the collection, analysis, and interpretation of data to support engineering projects and decision-making. They manage data analytics teams, develop strategies to leverage data for process improvements, and ensure data quality. Their role bridges the gap between engineering and data science, providing insights that drive efficiency, innovation, and business growth. They also collaborate closely with engineers, stakeholders, and leadership to align data initiatives with organizational goals.

How does an engineering data analytics lead typically collaborate with engineering and business teams to drive data-driven decisions?

As an Engineering Data Analytics Lead, you'll regularly bridge the gap between technical engineering teams and business stakeholders. You’ll translate complex data findings into actionable insights, guide data collection strategies, and ensure analytics align with broader organizational goals. Collaboration often involves leading cross-functional meetings, designing data dashboards for engineers, and advising business leaders on how data can inform project priorities. This role requires strong communication skills, as you'll need to distill technical details for non-technical audiences and foster a culture of data-driven decision-making across departments.

What are the key skills and qualifications needed to thrive as an engineering data analytics lead, and why are they important?

To excel as an Engineering Data Analytics Lead, you need expertise in data analysis, statistical modeling, and engineering principles, typically supported by a degree in engineering, mathematics, or a related field. Proficiency with analytics tools such as Python, R, SQL, and data visualization platforms, as well as experience with big data systems like Hadoop or Spark, is crucial. Strong leadership, problem-solving abilities, and clear communication are essential soft skills for guiding teams and translating complex data into actionable insights. These skills enable effective decision-making, drive innovation, and ensure successful data-driven strategies within engineering projects.

What cities are hiring for Engineering Data Analytics Lead jobs?

Cities with the most Engineering Data Analytics Lead job openings:

What states have the most Engineering Data Analytics Lead jobs?

States with the most job openings for Engineering Data Analytics Lead jobs include:

What are popular job titles related to Engineering Data Analytics Lead jobs?

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Infographic showing various Engineering Data Analytics Lead job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $123,849 per year, or $59.5 per hour.

Data Analytics Lead

Walbridge, OH • On-site

Rudolph Libbe Group
501 - 1,000 employees

$100K/yr

Other

Posted 16 days ago


Key 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.


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.
Compensation: The starting salary for this position is $100,000 per year, with a range of $100,000-$115,000 based on qualifications and experience.
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.