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Associate Data Analyst Jobs in Indiana (NOW HIRING)

Parkview Health

Data Engineer I

Fort Wayne, IN · On-site

$113K - $135K/yr

... analysis and reporting. Supports data validation and maintains data quality within the data lake ... Education: Associate's or Bachelor's degree in Computer Science, Information Technology ...

Parkview Health

Data Engineer I

Fort Wayne, IN · On-site

$113K - $135K/yr

... analysis and reporting. Supports data validation and maintains data quality within the data lake ... Education: Associate's or Bachelor's degree in Computer Science, Information Technology ...

Pwc

Data Engineer - Manager

Indianapolis, IN · On-site

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Pwc

Data Engineer - Senior Manager

Indianapolis, IN

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... Associate] is a plus - Designing and implementing thorough data architecture strategies ...

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Showing results 41-60

All JobsAssociate Data Analyst JobsAssociate Data Analyst Jobs in Indiana

Associate Data Analyst information

See Indiana salary details

$32.4K

$78.6K

$129.4K

How much do associate data analyst jobs pay per year?

As of Aug 19, 2026, the average yearly pay for associate data analyst in Indiana is $78,637.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $92,300.00 per year, depending on experience, location, and employer.

What does an associate data analyst do?

An Associate Data Analyst is responsible for collecting, processing, and analyzing data to help their organization make informed business decisions. They typically work with large datasets, create reports, identify trends, and support senior analysts or data scientists. Their tasks often involve using tools like Excel, SQL, and data visualization software to present findings clearly to stakeholders. This entry-level role serves as a foundation for advancing into more specialized data analysis positions.

What are some typical projects an associate data analyst might work on during their first year?

As an Associate Data Analyst, you can expect to work on projects such as cleaning and organizing data sets, creating basic visualizations and reports, and assisting with data quality checks. You'll likely collaborate closely with senior analysts and team members from departments like marketing, finance, or operations to support ongoing analyses or new initiatives. Many entry-level projects focus on transforming raw data into actionable insights, which helps you build foundational skills and gain experience with common tools and methodologies in the field.

What are the key skills and qualifications needed to thrive as an associate data analyst, and why are they important?

To thrive as an Associate Data Analyst, you need strong analytical abilities, proficiency in data interpretation, and a relevant degree such as in statistics, mathematics, or computer science. Familiarity with tools like SQL, Excel, and data visualization platforms (e.g., Tableau or Power BI) is typically required, along with knowledge of basic programming languages like Python or R. Attention to detail, critical thinking, and effective communication are key soft skills for translating data insights into actionable recommendations for stakeholders. These skills ensure accurate data analysis, clear reporting, and informed business decisions, which are crucial for organizational success.

What is the difference between Associate Data Analyst vs Data Analyst?

AspectAssociate Data AnalystData Analyst
Required CredentialsBachelor's degree in related field, some certificationsBachelor's degree, often with additional certifications or experience
Work EnvironmentEntry-level, supporting data teams, learning-focusedMore independent, responsible for analysis and reporting
Employer & Industry UsageCommon in tech, finance, healthcare, entry-level rolesWidely used across industries, mid-level position

The main difference between an Associate Data Analyst and a Data Analyst lies in experience and responsibility. Associate Data Analysts are typically entry-level, focusing on supporting data tasks and gaining skills, while Data Analysts handle more complex analysis and decision-making. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and autonomy.

What is the role of an associate data analyst?

An associate data analyst collects, processes, and analyzes data to support business decision-making. They often use tools like Excel, SQL, and data visualization software, and typically work under supervision to generate reports and identify trends. Strong analytical skills and attention to detail are essential for this entry-level role.

What are the most commonly searched types of Data Analyst jobs in Indiana?

The most popular types of Data Analyst jobs in Indiana are:

What are popular job titles related to Associate Data Analyst jobs in Indiana?

For Associate Data Analyst jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Associate Data Analyst jobs in Indiana look for?

The top searched job categories for Associate Data Analyst jobs in Indiana are:

What cities in Indiana are hiring for Associate Data Analyst jobs?

Cities in Indiana with the most Associate Data Analyst job openings:

Associate Data Analyst jobs near you
Infographic showing various Associate Data Analyst job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $78,637 per year, or $37.8 per hour.

Data Engineer I

Parkview Health

Fort Wayne, IN • On-site

$113K - $135K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Parkview Health rating

7.2

Company rating: 7.2 out of 10

Based on 280 frontline employees who took The Breakroom Quiz

348th of 888 rated healthcare providers

Job description

The Data Engineer Level I is focused on supporting the design, development, and maintenance of data systems and pipelines under the guidance of senior engineers. Assists in the collection, processing, and storage of data from various sources to ensure its availability for analysis and reporting. Supports data validation and maintains data quality within the data lake and data warehouse.
Key Responsibilities:
Data Management: Assists in developing and maintaining simple ETL processes. Supports building data pipelines to collect and move data from source systems to storage platforms. Helps with data cleaning and preprocessing to ensure high data quality. Monitors and troubleshoots data pipeline performance and address issues as they arise. Maintains system logs and ensures the smooth operation of data processes. Assists with maintaining and upgrading existing data infrastructure, including databases and data warehouses.
Collaboration: Works closely with senior data engineers and other teams to understand data needs and requirements.
Documentation: Documents data workflows, pipelines, and technical processes. Maintains clear and organized records for data sources and transformations.
Education: Associate's or Bachelor's degree in Computer Science, Information Technology, Mathematics, or a related field; or the equivalent of 4 years practical experience in a comparable job. Microsoft Developer certification a plus, but not required.
Experience: 2 - 3 years of experience in a data engineering, data analysis, data warehouse development or related technical role. Healthcare experience desired, especially Epic (Electronic Health Record system).
Technical Skills: Good understanding of data warehouse concepts and how they apply to data integration. Knowledge of programming languages such as Python, SQL. Familiarity with relational databases like SQL Server. Strong understanding of SQL for querying and manipulating relational databases. Exposure to data processing tools and frameworks - both on-premises and cloud based. (PySpark, ETL tools like SSIS, Azure data Factory etc.)
Communication & Teamwork: Ability to collaborate effectively with cross-functional teams, such as data scientists, analysts, and senior engineers. Strong attention to detail and ability to follow standard operating procedures.
Desirable Skills: Familiarity with cloud-based platforms like Databricks (AWS, Azure, GCP). Willingness to learn and develop skills in data engineering technologies.

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About Parkview Health

Sourced by ZipRecruiter

Parkview Health, headquartered in Fort Wayne, IN, US, operates within the healthcare industry providing a wide range of medical services and community wellness programs. These include primary care, specialty health services, emergency care, rehabilitation, and home health services among others. The non-profit health system was founded in 1878 and continues to serve its surrounding communities with a dedication to quality health and wellness.

Industry

Hospitals

Company size

10,000+ Employees

Headquarters location

Fort Wayne, IN, US

Year founded

1995

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