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Lead Data Analytics Engineer Jobs in Indiana (NOW HIRING)

Meta

Data Center Capacity Engineer

Lebanon, IN · On-site

$111K/yr

Meta is seeking a Data Center Capacity Engineer to help ensure our global data center ... Lead data analytics, metrics, and the interpretation of a complex environment to identify ...

POLYWOOD

VP of Data & Analytics

Syracuse, IN · On-site

You'll lead the organization through two direct reports: * Director of Data Engineering who builds and maintains the data platform and pipelines * Embedded Analysts across business units who ...

Marlabs Inc.

Data Practice Lead

Indianapolis, IN · On-site

... AI, data, analytics, and product engineering. Since 2000, we have partnered with some of the ... Data Practice Lead | About You As a Data Practice Lead, you are a strategic and hands‑on expert ...

Marlabs

Data Practice Lead

Indianapolis, IN · On-site +1

... AI, data, analytics, and product engineering. Since 2000, we have partnered with some of the ... Data Practice Lead | About You As a Data Practice Lead, you are a strategic and hands-on expert in ...

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Lead Data Analytics Engineer information

What does a Lead Data Analytics Engineer do?

A Lead Data Analytics Engineer oversees the design, development, and maintenance of data analytics systems within an organization. They lead teams to build data pipelines, optimize data workflows, and ensure data quality and accessibility for business insights. Their role often involves collaborating with data scientists, analysts, and stakeholders to translate business requirements into technical solutions. Additionally, they are responsible for setting best practices, mentoring team members, and staying updated with emerging technologies in data engineering.

What are the key skills and qualifications needed to thrive as a Lead Data Analytics Engineer?

To thrive as a Lead Data Analytics Engineer, you need advanced expertise in data modeling, statistical analysis, and programming, typically supported by a degree in computer science, statistics, or a related field. Mastery of tools such as SQL, Python, R, cloud platforms (like AWS or Azure), and data visualization software, along with certifications like AWS Certified Data Analytics or Google Professional Data Engineer, is highly valued. Strong leadership, problem-solving, and communication skills help you guide teams and translate complex data insights to stakeholders. These competencies are essential for delivering impactful analytics solutions and driving data-driven decision-making within organizations.

How does a Lead Data Analytics Engineer typically collaborate with cross-functional teams?

A Lead Data Analytics Engineer frequently partners with data scientists, business analysts, and software engineers to design and implement scalable analytics solutions. They often act as a bridge between technical teams and business stakeholders, translating business requirements into actionable data models and pipelines. Effective communication and project management skills are crucial in ensuring alignment on goals, timelines, and deliverables. Regular meetings and agile workflows are common, fostering a collaborative environment that supports innovation and timely project delivery.

What is the difference between Lead Data Analytics Engineer vs Data Scientist?

AspectLead Data Analytics EngineerData Scientist
CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; certifications like AWS, Azure, or Google CloudBachelor's or Master's in Data Science, Statistics, or related fields; similar certifications
Work EnvironmentFocus on data infrastructure, pipelines, and analytics tools; often in engineering teamsFocus on statistical modeling, machine learning, and data interpretation; often in research or analytics teams
Employer & Industry UsageUsed in tech, finance, healthcare for building data systems and analytics platformsUsed across industries for predictive modeling, research, and insights generation

The main difference is that Lead Data Analytics Engineers primarily focus on building and maintaining data infrastructure and analytics pipelines, while Data Scientists concentrate on analyzing data, creating models, and deriving insights. Both roles require strong technical skills and often overlap, but their core responsibilities differ in scope and focus.

What cities in Indiana are hiring for Lead Data Analytics Engineer jobs?

Cities in Indiana with the most Lead Data Analytics Engineer job openings:

Infographic showing various Lead Data Analytics Engineer job openings in Indiana as of June 2026, with employment types broken down into 94% Full Time, 5% Part Time, and 1% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution.

Senior Data Analytics Lead

Kokomo, IN • On-site

Haynes International
Primary Metal Manufacturing • 1 - 5K employees
Learn more about Haynes Internationalexternal

Full-time

Re-posted 16 days ago

Haynes International rating

5.5

Company rating: 5.5 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

Job description

About the Role:
The Senior Data Analyst Lead is responsible for the strategic design, implementation, integration, and accessibility of resources which enable effective and reliable data analytics and business intelligence. The Senior Analyst Lead is responsible for leading the development and delivery of reports, data analytics, dashboards, and other analytical solutions used by our business partners.
Qualifications (Required & Preferred):
Education: Bachelor's Degree in related field or Associates Degree with experience (R);
Experience: 5 years' experience in field (P); 5 years' experience Data Analytics and Reporting (R)
Areas of Knowledge: Knowledge of Microsoft Office Suite (R), Experience developing data cubes and reporting dashboards using Targit (or equivalent reporting tool) (R), Power BI (R), Familiarity with Enterprise Resource Planning (ERP) software suites and reporting applications (D365), (R), Must possess skills to convey complex ideas to non-technical audiences (R), Excellent interpersonal and communication skills to work within IT and with business partners (R), Self-motivated, able to work effectively both independently and cooperatively, and has had proven success working as a member of a team (R), Ability to multi-task and prioritize multiple projects, deadlines and responsibilities requiring a strong work ethic that stresses delivery of sound, accurate data (R), Knowledge of database structures (P), Advanced knowledge and demonstrated understanding of developing and tuning complex queries, stored procedures, and user-defined functions (P)
Skills: Communications, keyboarding, interpersonal, time management, PC usage, programming, training others
Role Responsibilities:
  • Participate as member of the core data management team representing and responsible for creating an integrated, data-driven environment.
  • Develop and execute strategies to provide timely data and analysis concerning strategic initiatives.
  • Integrate our diverse data and reporting environments.
  • Apply quantitative expertise to business issues.
  • Assist with moving from Targit to Power BI.
  • Foster collaboration across departments/organizations to ensure flow of data required for analysis and to identify new opportunities.
  • Oversee the architecture and management of the data warehouse, including optimizing its design, ensuring data integrity and incorporating new data elements.
  • Work with Get2Insights on upgrading and improving Targit.
  • Diagnose and solve system and data issues in the data warehouse.

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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