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Lead Data Analytics Engineer Jobs in Indiana (NOW HIRING)

Data Analytics Engineer

Kokomo, IN · On-site

$101K - $121K/yr

The analytics engineer makes sure data is ingested, transformed, scheduled, and ready to be used for analytics. This role is responsible for designing, implementing, and maintaining data pipelines ...

Analytics Engineer

Indianapolis, IN · On-site

$115K - $149K/yr

You will work closely with data engineers and business stakeholders to turn raw data into clean ... Partner with analysts and business teams to translate requirements into clean, reusable data assets.

Analytics Engineer

Indianapolis, IN · On-site

$115K - $149K/yr

You will work closely with data engineers and business stakeholders to turn raw data into clean ... Partner with analysts and business teams to translate requirements into clean, reusable data assets.

Analytics Engineer

Indianapolis, IN · On-site

$115K - $149K/yr

You will work closely with data engineers and business stakeholders to turn raw data into clean ... Partner with analysts and business teams to translate requirements into clean, reusable data assets.

You will work closely with data engineers and business stakeholders to turn raw data into clean ... Partner with analysts and business teams to translate requirements into clean, reusable data assets.

Analytics Engineer

Indianapolis, IN · On-site

$115K - $149K/yr

You will work closely with data engineers and business stakeholders to turn raw data into clean ... Partner with analysts and business teams to translate requirements into clean, reusable data assets.

Analytics Engineer

Indianapolis, IN · On-site

$115K - $149K/yr

You will work closely with data engineers and business stakeholders to turn raw data into clean ... Partner with analysts and business teams to translate requirements into clean, reusable data assets.

Analytics Engineer

Indianapolis, IN · On-site

$115K - $149K/yr

You will work closely with data engineers and business stakeholders to turn raw data into clean ... Partner with analysts and business teams to translate requirements into clean, reusable data assets.

Senior Analytics Engineer Manufacturing & Supply Chain Focus Remote (EST Hours) $140K to $170K base ... This role will be instrumental in building a scalable analytics foundation that enables data-driven ...

Senior Analytics Engineer Manufacturing & Supply Chain Focus Remote (EST Hours) $140K to $170K base ... This role will be instrumental in building a scalable analytics foundation that enables data-driven ...

GCP Cloud Analytics Engineer

Indianapolis, IN · On-site

$53.25 - $71.25/hr

As a Data Engineer II, GCP Cloud Analytics, you will help clients design, build, and scale Google ... Ability to lead projects or workstreams * Ability to manage and prioritize multiple tasks in a fast ...

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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.

Data Analytics Engineer

Kokomo, IN • On-site

Haynes International
Primary Metal Manufacturing • 1 - 5K employees

$101K - $121K/yr

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 Opportunity:
The analytics engineer makes sure data is ingested, transformed, scheduled, and ready to be used for analytics. This role is responsible for designing, implementing, and maintaining data pipelines, analytics systems, and reporting solutions. The analytics engineer also models raw data into clean, tested, and reusable datasets to allow business stakeholders to view and understand data in a warehouse or database.
Qualifications (Required & Preferred):
Education: A bachelor's degree in computer science, data science, software engineering, or related field (R)
Experience: At least five years of experience in data analytics, data engineering, software engineering, or a similar role (R); Expertise in data modeling, ETL development, and data analysis (R)
Skills: Strong ability in SQL for data extraction and manipulation, and proficiency in data warehousing concepts/tools such as Targit, Ignite, and Power BI; Familiarity with cloud-based data platforms such as Azure for data storage and processing; Substantial programming ability using languages/tools such as C++ & .NET for data manipulation and scripting; Solid understanding of relevant data governance, data quality, and data security best practices; Strong problem-solving skills, and the ability to think critically and analytically; Knowledge of ETL processes, data integration, and data warehousing concepts.; Familiarity with data visualization tools such as Targit & Power BI; Knowledge of upgrading data systems like Targit; Excellent communication skills to effectively collaborate with cross-functional teams and present insights to business stakeholders (all R).
Role Responsibilities:
  • Delivers well-defined, transformed, tested, documented, and code-reviewed datasets for analysis
  • Builds data aggregation pipelines using SQL, .NET, Targit, Power BI
  • Creates robust data models and architectures to support analytics initiatives
  • Collaborate with business stakeholders to understand their analytics needs and deliver comprehensive reports, dashboards, and models
  • Identifies and implements optimizations to continually enhance query performance, reduce processing time, and increase overall productivity
  • Designs, develops and maintains data pipelines to ensure efficient and reliable ETL processes
  • Implements and maintains analytics systems, data warehouses, or data lakes to store and manage structured and unstructured data
  • Creates and maintains dashboards, visualizations, and reports using tools such as Targit & Power BI to enable data-driven decision-making
  • Collaborates with Data Analytics Manager to incorporate Power BI and data governance across the organization
  • Ensures data quality and accuracy by implementing data validation, monitoring, and error-handling processes

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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