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Analytics Engineer Jobs in Indiana (NOW HIRING)

Albanese Candy

Data Analyst/ Programmer

Merrillville, IN · On-site

UNDERSTANDING The Data Analyst/Programmer is responsible for leveraging organizational data for the ... Use machine learning, statistical methods and advanced analytics to analyze and interpret complex ...

New

Pwc

Data Engineer - Senior Associate

Indianapolis, IN · On-site

$77K - $202K/yr

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

Pwc

GenAI Python Systems Engineer-Manager

Indianapolis, IN · On-site

$99K - $232K/yr

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 ...

Astemo Ltd

Engineer I, Quality Analysis

Greenfield, IN · On-site

$69K - $89K/yr

The main roles of our Analysis Engineer will entail troubleshooting and root cause analysis of production line rejects (power module, IPM and inverter products) to support production operations as ...

Astemo

Engineer I, Quality Analysis

Greenfield, IN

$69K - $89K/yr

The main roles of our Analysis Engineer will entail troubleshooting and root cause analysis of production line rejects (power module, IPM and inverter products) to support production operations as ...

Pwc

NGA AI Engineer Manager

Indianapolis, IN

$73K - $244K/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 ...

HHC

Analytics Team Lead

Indianapolis, IN

A Team Lead handles the day-to-day operations of business intelligence developers and data analysts. The incumbent of the team lead position works closely with the other team lead(s) to triage ...

Steel Dynamics, Inc.

Data Engineer

Fort Wayne, IN · On-site

$104K - $125K/yr

Overview We are seeking an experienced Data Engineer to join the Flat Roll Group IT team, which ... Model and manage structured data to support analytics, reporting, and application needs * Build and ...

Steel Dynamics, Inc.

Data Engineer

Fort Wayne, IN

$104K - $125K/yr

Overview We are seeking an experienced Data Engineer to join the Flat Roll Group IT team, which ... Model and manage structured data to support analytics, reporting, and application needs * Build and ...

Steel Dynamics, Inc.

Data Engineer

Fort Wayne, IN · On-site

$104K - $125K/yr

Overview We are seeking an experienced Data Engineer to join the Flat Roll Group IT team, which ... Model and manage structured data to support analytics, reporting, and application needs * Build and ...

Pwc

Data Engineer - Senior Manager

Indianapolis, IN · On-site

$124K - $280K/yr

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

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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 Analyst/ Programmer

Albanese Candy

Merrillville, IN • On-site

Full-time

Posted yesterday

New

Job description

UNDERSTANDING

The Data Analyst/Programmer is responsible for leveraging organizational data for the development of business analytics. Use machine learning, statistical methods and advanced analytics to analyze and interpret complex digital data.

CORE VALUES

Our 5 Core Values are more than just words, they're a way of life. We know that companies with a strong culture & a higher purpose perform better in the long run.

  • Own It
  • Hustle and Refuse to Settle
  • Love People
  • Act for the Greater Good
  • Find a way

WORKING RELATIONSHIP

  • IT team
  • IT leadership

RESPONSIBILITIES

  • Develop and maintain extract, transform and load programming.
  • Monitor data migration jobs and troubleshoot errors. Including API monitoring.
  • Lead and coordinate with stakeholders and IT team to develop innovative data analysis methodologies.
  • Utilize advanced analytics to extract valuable insights from large datasets, helping to shape business reporting.
  • Understand and develop machine learning models to automate data processes and enhance predictive analytics.
  • Ensure the accuracy and integrity of data used for analytical purposes through rigorous validation and testing.
  • Act as the SME for AI for business, investigating how the company can utilize AI across all aspects of the business.
  • Create process technical design specifications, create/execute test scripts as needed for projects or initiatives.
  • Be available for off-hour support tasks, as needed, and as part of any off-hour rotation schedule.
  • Comply with all company Quality, HACCP, GMP and Food Safety Standards.
  • Other duties as assigned

REQUIREMENTS

  • The ability to take initiative and be self-motivated
  • An adaptable and flexible attitude, allowing them to approach and solve a problem by examining it from different angles
  • Strong interpersonal skills
  • Written and verbal communication skills
  • The ability to collaborate within a team
  • Strong attention to detail
  • Developed skills in examination and analysis
  • In-depth knowledge and understanding of SDLC and change management.
  • Complex Problem Solving and Analytical skills
  • This position requires support of implementations after hours
  • Experience in supporting Enterprise software in manufacturing environment.
  • Experience in AWS, Azure or other AI engine software solutions.
  • Experience with API writing
  • Strong skills needed in verbal and written communication, including communicating effectively with business users and software developers
  • Excellent organizational and planning skills
  • Ability to lead and facilitate diverse groups of people to move towards solutions
  • Excellent analytical and problem-solving skills
  • Programming experience
  • Familiarity or experience with Agile/Scrum Framework is a plus.
  • Food manufacturing experience is a plus.
  • Must be able to speak, read and write in English.

EDUCATION

Bachelor of Science Degree or higher in Information Systems or relevant degree.

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