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Senior Analytics Engineer Jobs in Indiana (NOW HIRING)

AEG

Senior Data Engineer - Analytics

Indianapolis, IN · On-site

$117.10K - $154.30K/yr

... Senior Data Engineer will join our small, high-leverage data team building the data and intelligence platform for Pacers Sports & Entertainment (PS&E). This is a modern full-stack data & analytics ...

Pwc

NGA AI Engineer Senior Manager

Indianapolis, IN · On-site

$91K - $321.50K/yr

... Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on ... You will work on developing predictive models, conducting statistical analysis, and creating data ...

Pwc

Data Engineer - Senior Associate

Indianapolis, IN

$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 ...

Novelis

Sr Mechanical Engineer

Terre Haute, IN · On-site

$99.40K - $131.20K/yr

The Sr Mechanical Engineer reports to the EMRA Leader. The ideal candidate will be responsible for ... Analyze and recommend preventive maintenance programs and provide value analysis engineering ...

Pwc

Data Engineer - Senior Manager

Indianapolis, IN

$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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Senior Analytics Engineer information

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$56.6K

$120.4K

$174.6K

How much do senior analytics engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for senior analytics engineer in Indiana is $120,427.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,400.00 and $136,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Senior Analytics Engineer, you need strong expertise in data modeling, SQL, data warehousing, and analytics, typically backed by a degree in computer science, mathematics, or a related field. Proficiency with tools such as dbt, Python, cloud data platforms (like Snowflake or BigQuery), and experience with BI tools are commonly required, along with certifications in analytics or cloud technologies being a plus. Excellent problem-solving, communication, and stakeholder management skills help you translate business requirements into robust data solutions. These skills ensure data integrity, drive actionable insights, and support effective decision-making across the organization.

How does a Senior Analytics Engineer typically collaborate with data scientists and business stakeholders?

Senior Analytics Engineers play a vital role in bridging the gap between raw data and actionable insights. They work closely with data scientists to ensure that data pipelines and models are robust, scalable, and well-documented. Additionally, they frequently meet with business stakeholders to understand reporting needs and translate them into technical requirements, ensuring that analytics solutions align with organizational goals. This collaborative approach helps maintain data quality and accelerates the delivery of meaningful analyses across teams.

What is a Senior Analytics Engineer?

A Senior Analytics Engineer is a data professional who bridges the gap between data engineering and data analysis. They design, build, and maintain data pipelines, data models, and analytics infrastructure to ensure that data is reliable, accessible, and well-structured for analysis. Typically, they work with tools like SQL, dbt, and cloud data warehouses, collaborating closely with data analysts and business stakeholders to deliver actionable insights. Their role often involves optimizing data workflows, implementing best practices, and mentoring junior team members.

What is the difference between Senior Analytics Engineer vs Data Engineer?

AspectSenior Analytics EngineerData Engineer
Required CredentialsBachelor's/Master's in CS, Analytics, or related; SQL, Python, data visualization skillsBachelor's/Master's in CS, Data Engineering, or related; SQL, Python, ETL tools skills
Work EnvironmentFocus on data analysis, reporting, and insights; collaborates with data teams and business unitsFocus on data pipeline development, infrastructure, and storage; works closely with data infrastructure teams
Employer & Industry UsageUsed across tech, finance, healthcare, and retail for analytics rolesCommon in tech, finance, and data-driven industries for building data systems

While both roles require strong SQL and Python skills, Senior Analytics Engineers primarily focus on analyzing data, creating reports, and deriving insights for business decisions. Data Engineers build and maintain the data infrastructure, pipelines, and storage systems. The roles often collaborate but serve different functions within data teams.

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 Senior Analytics Engineer jobs in Indiana? For Senior Analytics Engineer jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Senior Analytics Engineer jobs in Indiana look for? The top searched job categories for Senior Analytics Engineer jobs in Indiana are:
What cities in Indiana are hiring for Senior Analytics Engineer jobs? Cities in Indiana with the most Senior Analytics Engineer job openings:
Senior Analytics Engineer jobs near you

Senior Data Analytics Engineer

Core BTS, Inc.

Indianapolis, IN

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

Job description

As a Senior Data Analytics Engineer on the Data Analytics Data Platform (DADP) team, you analyze, develop, and deliver business intelligence solutions using the Microsoft Analytics stack.The Senior Data Analytics Engineer works directly with clients to ensure their expectations and business decision-making tool needs are met. The Engineer is an expert in using analytical and problem-solving skills and has experience creating scalable and reliable data solutions through data analytics solution development.
Responsibilities
  • Demonstrates passion, excellence, trust, transparency, and client focus.
  • Builds and maintains databases, data pipelines, and data lakes.
  • Transforms and models data, develops reporting and analytics, creates dashboards, and works with analytics tools.
  • Understands business problems and processes based on direct conversations with clients, can see the big picture, and translate that into specific solutions.
  • Works with other technical experts on the DADP team and is involved in all parts of the data analytics development process-from gathering requirements and solution delivery to documentation of lessons learned.
  • Approaches conflict directly, assumes positive intent, and seeks assistance from leaders if needed.
  • Adapts positively to change by embracing new practices, processes, or circumstances.
  • Presents a positive, professional, and self-confident image.
  • Responds to clients in a timely and professional manner.
  • Understands and strives to consistently meet or exceed client expectations.
  • Collaborates with clients to identify and address their business needs.
  • Communicates accurately, concisely, and effectively.
  • Respectfully listens to others' ideas and concerns with an open mind.
  • Develops and maintains effective working relationships with others.
  • Works collaboratively to solve problems and puts team success first.
  • Meets commitments to others and delivers on time.
  • Holds self and others accountable for responsibilities.
  • Accepts responsibility for own decisions and actions without excuses.
  • Works independently or as a member of a team of technical professionals.
  • Balances multiple projects while still focusing on the needs of end users, clients, and the project manager.
  • Provides top-notch service and suggestions to not only clients and the project team but also to the broader NRI team as a whole.
Required Skills
  • 3-5 years of work experience in data engineering
  • Your data engineering experience should include Azure technologies and be familiar with modern data platform technologies such as Azure Data Factory, Azure Databricks, Azure Synapse, Fabric.
  • Understanding of Agile engineering practices
  • Deep familiarity and experience in the following areas: Data warehouse and lakehouse methodologies, including medallion architecture; Data ETL/ELT processes; Data profiling and anomaly detection; Data modeling (Dimensional/Kimball); SQL; Strong background in relational database platforms; DevOps/Continuous integration & continuous delivery.
  • Growing familiarity and experience with Python
  • Excellent analytical and problem-solving skills
  • Effective oral and written communication and organizational skills
  • Desire for continued education and certification as it relates to the position
  • Bachelor's degree in data Analytics, Computer Science, Information Systems, or a related field.
  • Previous consulting experience is preferred but not required
Benefits - You'll love working at NRI not just for the usual benefits, but for our environment and culture!
  • You'll work with a great group of people in a highly collaborative team and results oriented atmosphere
  • You'll have the opportunity to work in a dynamic and extremely positive environment where there is always the opportunity to challenge your skills and really move the needle
  • You'll work with large, sophisticated, and progressive clients throughout North America
  • We provide a comprehensive benefits program including: Health, Vision, and Dental Insurance, Life Insurance, Health/Dependent Care Flexible Spending, 401(k) Plan, Short-Term and Long-Term Disability Coverage, Generous Vacation and Flex Time Off Programs, Company Paid Holidays, and Training and Development Opportunities.
In addition to base salary, this role is eligible for discretionary incentive plan based on company and individual performance. Compensation decisions are dependent on the facts and circumstances of each candidate, including experience and location.
Notices

The above description is intended to describe the general nature and level of work performed by individuals assigned to this position. This is not intended to be an exhaustive list of all responsibilities, duties, knowledge, skills, or experience required of individuals in this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential duties and responsibilities.

NRI North America is proud to be an Equal Opportunity/Affirmative Action employer.

NRI North America will accept applications on an ongoing basis.
NRI North America will consider qualified candidates with criminal histories in a manner consistent with The Los Angeles Fair Chance Initiative for Hiring Ordinance.
If you require reasonable accommodation in completing an application, interviewing, or otherwise participating in the hiring process, please direct your inquiries to CareersBegin@nri-na.com.

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