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Analytics Engineer Jobs in Indiana (NOW HIRING)

Data Analytics Developer Information Technology Department Position Summary: Data Analytics Developers are data experts who design, build and maintain data analysis solutions. Data Analytics ...

Position Thermal Analysis Engineer Location Kokomo, IN About Us BorgWarner is a global product leader in delivering innovative and sustainable mobility solutions. We are a company of innovators and ...

Position Thermal Analysis Engineer Location Kokomo, IN About Us BorgWarner is a global product leader in delivering innovative and sustainable mobility solutions. We are a company of innovators and ...

The Analysis Engineer will be part of the xEV Inverter team supporting Electric Vehicle products. This role is responsible for diagnosing and analyzing returned parts from internal operations ...

The Analysis Engineer will be part of the xEV Inverter team supporting Electric Vehicle products. This role is responsible for diagnosing and analyzing returned parts from internal operations ...

Director of Data Engineering who builds and maintains the data platform and pipelines * Embedded Analysts across business units who translate data into action at the point of need What You'll Own ...

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 ...

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 ...

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Analytics Engineer information

See Indiana salary details

$58.6K

$102.3K

$166.9K

How much do analytics engineer jobs pay per year?

As of Jun 18, 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 do analytics engineers do?

Analytics engineers design, build, and maintain data pipelines and infrastructure to enable data analysis and reporting. They work with tools like SQL, Python, and data warehouses to ensure data is accurate, accessible, and well-structured for business insights.

What engineers make $500,000?

Senior-level engineers in specialized fields such as software engineering, data engineering, or machine learning engineering can earn $500,000 or more annually, especially with experience, advanced skills, and in high-demand industries. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant growth potential.

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.

What is the average salary of an analytics engineer?

The average salary of an analytics engineer typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Professionals with skills in SQL, Python, and data visualization tools tend to earn higher salaries, especially in larger organizations or tech hubs.

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 big data salary?

The salary for an Analytics Engineer working with big data typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Professionals skilled in tools like Hadoop, Spark, and SQL tend to earn higher salaries, especially with certifications and advanced technical expertise.

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:
FullStack Machine Connectivity & Analytics Engineer

FullStack Machine Connectivity & Analytics Engineer

ClifyX

Lafayette, IN โ€ข On-site

Other

Posted 19 hours ago


Job description

Key Responsibilities
Machine Connectivity & Data Acquisition
  • Enable and support connections to manufacturing equipment, sensors, and digital sources in collaboration with controls and IT/OT teams.
  • Support secure and reliable data collection from machines and systems used in manufacturing operations.
  • Validate data availability, frequency, signal quality, and basic health of connected assets.
Data Engineering & Pipeline Development
  • Structure, normalize, and prepare machine and operational data so it is usable for analytics and reporting.
  • Implement pragmatic data pipelines that support near-real-time and historical analysis (tool-agnostic, fit-for-purpose).
  • Document data definitions, assumptions, and limitations to enable sustainment and scale.
nalytics, Reporting & Insights
  • Develop dashboards, reports, and analytical views that translate raw data into clear operational insights and recommended actions. [
  • Support reporting workflows that may include structured exports (e.g., CSV) and Power BI-style dashboards depending on maturity and use case.
  • Identify trends, exceptions, thresholds, and opportunities related to safety, quality, throughput, utilization, or reliability.
Operational Integration & Actionability
  • Support or lead regular reviews of data insights with plant stakeholders to ensure insights turn into actions with owners and follow-up.
  • Partner with manufacturing engineering, operations, EHS, quality, and IT/OT to ensure analytics align with real shop-floor decisions.
  • Contribute to development of repeatable deployment patterns and best practices that can be reused across sites.

Required Skills & Experience
  • Hands-on experience connecting or working with manufacturing equipment data, telemetry, or IIoT sources.
  • Strong ability to transform raw machine/process data into actionable insights, not just dashboards.
  • Experience with data analysis and visualization tools used in manufacturing or industrial contexts.
  • Comfort working across OT, IT, engineering, and operations in a plant environment.
  • Proven ability to operate independently in a contract role with minimal direction.

Preferred / Nice-to-Have Experience
  • Exposure to reliability, asset performance, predictive maintenance, or process monitoring use cases.
  • Familiarity with structured deployment playbooks, continuous-improvement cadences, and sustainment models.

ClifyX logo

About ClifyX

Sourced by ZipRecruiter

ClifyX is a well-established player in the IT Services sector that specializes in providing result-oriented technological solutions to a wide range of industrial verticals. Based in South Plainfield, New Jersey, ClifyX offers a comprehensive selection of IT services that include project staffing, application development, professional consulting, and other IT-based solutions. While the company's website, clifyx.com, does not divulge the exact founding date, it is clear that ClifyX has grown into a renowned name within their domain, thanks to their unwavering commitment to innovative practices. The company's mission statement revolves around harnessing the power of technology to assist their clientele in steering their respective businesses towards success.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

South Plainfield, NJ, US

Year founded

1998