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Associate Data Analyst Jobs in Indiana (NOW HIRING)

campus4tech

Data Analyst

Indianapolis, IN · On-site

... by associate analysts, as requested by senior analyst • Interprets data and from multiple sources using a variety of analytical techniques, ranging from simple data aggregation to data mining, to ...

Brotherhood Mutual

Associate Data Scientist

Fort Wayne, IN · On-site

$58K - $58K/yr

Associate Data Scientist FLSA Status: Exempt Job Family: Research & Development Department ... Analyze statistical data on large sets and identify trends by using advanced mathematical and ...

Brotherhood Mutual

Associate Data Scientist

Fort Wayne, IN · On-site

$58K - $58K/yr

Associate Data Scientist FLSA Status: Exempt Job Family: Research & Development Department ... Analyze statistical data on large sets and identify trends by using advanced mathematical and ...

STI

Data Analyst - Indianapolis, IN

Indianapolis, IN · On-site

... by associate analysts, as requested by senior analyst • Interprets data and from multiple sources using a variety of analytical techniques, ranging from simple data aggregation to data mining, to ...

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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 Sep 8, 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, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $78,637 per year, or $37.8 per hour.

Data Analyst

campus4tech

Indianapolis, IN • On-site

Full-time

Re-posted 13 days ago

Job description

Job Title: Data Analyst
Job Location: Indianapolis IN, 46204
Job Location: Hybrid
Contract Duration: 11 Months
Note: W2 and C2C candidates can apply
Note: Candidate must be local to Indiana location or they must have a local Indiana Address as we need local candidates for this role
The Data Analyst validates and analyzes a variety of agency data sources to garner public health insight. The incumbent will produce reports and support data-related activities for the several divisions. In addition, this role will assist with curation and analysis of various other datasets and assist teams with integrating new data and information into existing and new reports.
JOB DUTIES
• Serves as project lead/subject matter expert for specific data sources, as assigned
• Reviews and provides feedback on the work products of other analysts
• Responsible for transferring raw data to the appropriate location for use in data analysis projects
• Wrangles, cleans, and validates agency data sources with minimal guidance
• Conducts general analysis of agency datasets; serves as project lead, as assigned.
• Contributes to complex analysis of agency datasets, as requested
• Conducts data quality checks to ensure the validity and cleanliness of agency datasets prior to their use in analysis and reporting
• Oversee and review projects completed by associate analysts, as requested by senior analyst
• Interprets data and from multiple sources using a variety of analytical techniques, ranging from simple data aggregation to data mining, to more complex statistical methodologies
• Collaborate with internal and external partners to develop novel ways of using and reporting out data.
• Provide technical assistance to program areas for the creation of reports and grant deliverables
REQUIREMENTS
• Demonstrated experience with data queries and transformations (including cleansing and standardizing) with SQL.
• Demonstrated experience with SAS and either R or Python, including data cleaning, running descriptive statistics and full analyses.
• Working knowledge of epidemiological methods, study design, and analysis needed with an understanding of both qualitative and quantitative data.
• Working knowledge of MS Office Suite including Excel, Word, and PowerPoint.
• Effective time management and program management skills.
• Ability to work in a team environment with multiple and fluid demands.
• Ability to maintain effective and professional working relationships with internal and external customers.
• Ability to research and document findings.

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