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Analytics Engineer Jobs in Indiana (NOW HIRING)

Luna Data Solutions, Inc.

Data Engineer - ONSITE

Butler, IN · On-site

$117K - $140K/yr

Proven background in data engineering, analytics engineering, or similar roles. * Strong SQL ... proficiency, including advanced queries, stored procedures, and triggers. * Experience with ...

Pwc

NGA AI Engineer Senior Manager

Indianapolis, IN

$91K - $321K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... You will work on developing predictive models, conducting statistical analysis, and creating data ...

Amentum

Data Analytics Specialist

Crane, IN · On-site

$100K - $160K/yr

Collaborate with scientists, engineers, analysts, and cross-functional teams to optimize data workflows and integrate solutions into existing systems. * Gather requirements from stakeholders and ...

State of Indiana

Highway Engineer

Indianapolis, IN

$75K/yr

Technical & Data Analysis: Assist in analyzing engineering data and developing technical guidelines, technology initiatives, training course materials and other technical documents. * Testing: Assist ...

Pwc

Data Engineer - Manager

Indianapolis, IN

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Pae

Data Analytics Specialist

Crane, IN

$100K - $160K/yr

Collaborate with scientists, engineers, analysts, and cross-functional teams to optimize data workflows and integrate solutions into existing systems. * Gather requirements from stakeholders and ...

State of Indiana

Design Engineer

Fort Wayne, IN · On-site

$75K/yr

Technical & Data Analysis: Assist in analyzing engineering data and developing technical guidelines, technology initiatives, training course materials and other technical documents. * Testing: Assist ...

State of Indiana

Design Engineer

Fort Wayne, IN · On-site

$75K/yr

Technical & Data Analysis: Assist in analyzing engineering data and developing technical guidelines, technology initiatives, training course materials and other technical documents. * Testing: Assist ...

Barbaricum

AFSIM Simulation Engineer

Crane, IN · On-site

... Engineering, Mission Support, and Communications disciplines. Founded in 2008, our mission is to ... Our teams deliver physics-based analysis that complements MBSE efforts by transforming ...

Barbaricum

AFSIM Simulation Engineer

Crane, IN · On-site

... Engineering, Mission Support, and Communications disciplines. Founded in 2008, our mission is to ... Our teams deliver physics-based analysis that complements MBSE efforts by transforming ...

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Showing results 1-20

All JobsAnalytics Engineer JobsAnalytics Engineer Jobs in Indiana

Analytics Engineer information

See Indiana salary details

$58.6K

$102.3K

$166.9K

How much do analytics engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for analytics engineer in Indiana is $102,307.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,400.00 and $114,835.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Analytics Engineer, and why are they important?

To thrive as an Analytics Engineer, you need a strong foundation in data modeling, SQL, and analytics engineering principles, often supported by a degree in computer science, data science, or a related field. Proficiency with data transformation tools such as dbt, cloud data warehouses like Snowflake or BigQuery, and version control systems like Git is essential. Strong problem-solving skills, communication, and collaboration abilities help translate business needs into scalable data solutions and foster teamwork. These skills and qualities are crucial for ensuring data quality, building reliable analytics infrastructure, and enabling data-driven decision-making across organizations.

What is the difference between Analytics Engineer vs Data Engineer?

AspectAnalytics EngineerData Engineer
CredentialsOften requires SQL, Python, data modeling certificationsRequires similar skills, often with additional focus on infrastructure and systems
Work EnvironmentFocuses on data analysis, visualization, and reportingBuilds data pipelines, manages data infrastructure
Industry UsageCommon in analytics teams, BI, and data-driven rolesPrevalent in data engineering, data platform teams

While both roles work closely with data, Analytics Engineers primarily focus on transforming data for analysis and visualization, whereas Data Engineers build the infrastructure and pipelines that enable data access. Understanding these differences helps in choosing the right career path or job role.

How does an Analytics Engineer typically collaborate with data scientists and business stakeholders on projects?

Analytics Engineers play a critical bridge role between data engineering and data analysis. They work closely with data scientists to transform raw data into clean, reliable datasets that are ready for advanced analytics or modeling. At the same time, they collaborate with business stakeholders to understand reporting needs, ensuring that data models align with business goals. Regular communication and iterative feedback are key, as Analytics Engineers often gather requirements, build data pipelines, and adjust data products based on stakeholder input.

What is an Analytics Engineer?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis. They are responsible for designing, building, and maintaining data models, pipelines, and analytics tools that enable organizations to make data-driven decisions. Analytics Engineers often work closely with data analysts and business stakeholders to ensure clean, reliable, and well-structured data is available for reporting and analysis. Their work typically involves using SQL, data transformation tools like dbt, and cloud data warehouses to create scalable and efficient data solutions.
What are the most commonly searched types of Analytics Engineer jobs in Indiana? The most popular types of Analytics Engineer jobs in Indiana are:
What are popular job titles related to Analytics Engineer jobs in Indiana? For Analytics Engineer jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Analytics Engineer jobs in Indiana look for? The top searched job categories for Analytics Engineer jobs in Indiana are:
Analytics Engineer jobs near you
Infographic showing various Analytics Engineer job openings in Indiana as of July 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $102,307 per year, or $49.2 per hour.
Data Engineer - ONSITE

Data Engineer - ONSITE

Luna Data Solutions, Inc.

Butler, IN • On-site

$117K - $140K/yr

Other

Posted 22 days ago

Job description

A newly formed data engineering team is expanding, and we’re looking for a highly capable Data Engineer to help build the shared data environment supporting multiple manufacturing facilities. This role focuses on designing structured data models, developing SQL-driven data warehouses, and creating reliable pipelines that feed analytics and operational applications across several sites.
You’ll work closely with a data architect and other technical partners to consolidate data from multiple divisions into a unified environment. This is a hands-on engineering role ideal for someone who thrives in complex data ecosystems, values accuracy, and enjoys building foundational systems from the ground up.
Key Responsibilities

  • Develop advanced SQL solutions including complex queries, stored procedures, views, and triggers.
  • Design and maintain structured data models and warehouse environments used across multiple facilities.
  • Build, refine, and troubleshoot ETL/ELT pipelines supporting large-scale data ingestion.
  • Ensure data accuracy, consistency, and reliability across interconnected systems.
  • Monitor and optimize data workflows and query performance.
  • Collaborate with architects, engineers, and operational teams to translate requirements into scalable data solutions.
  • Document data flows, schemas, and definitions for long-term maintainability.
  • Follow data governance, security, and compliance standards.
  • Manage assigned work independently and deliver on commitments.
  • Communicate technical concepts clearly to both technical and non-technical audiences.
  • Participate in ongoing learning to stay current with evolving data technologies.


Required Qualifications

  • 5–7 years of professional SQL experience (this is a SQL-heavy environment).
  • 5–7 years of experience in data analytics or a related discipline.
  • Hands-on experience with Qlik and/or Power BI (Qlik is used more heavily across the group).
  • Proven background in data engineering, analytics engineering, or similar roles.
  • Strong SQL proficiency, including advanced queries, stored procedures, and triggers.
  • Experience with relational databases and data modeling concepts.
  • Experience building and maintaining ETL/ELT pipelines.
  • Experience supporting BI, reporting, or analytics environments.
  • Familiarity with data quality monitoring practices.
  • Experience with cloud data platforms, data warehouses, or data lakes.
  • Strong written and verbal communication skills.
  • Demonstrated ownership of data solutions and deliverables.
  • Bachelor’s degree in a relevant field, equivalent experience, or industry certifications.
  • Proficiency with Microsoft SQL Server.
  • Experience in manufacturing or industrial environments.


What We Offer

  • Small team where you can make a big impact.
  • Competitive compensation and benefits.


This is a direct-hire, full-time employment opportunity onsite in Butler, Indiana. Luna Data Solutions, Inc. (LDS) provides equal employment opportunities to all employees. All applicants will be considered for employment. LDS prohibits discrimination and harassment of any type regarding age, race, color, religion, sexual orientation, gender identity, sex, national origin, genetics, protected veteran status, and/or disability status. A 7-year background check and drug test are required for this role.

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