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Educational Data Analyst Jobs in Indiana (NOW HIRING)

BCforward

Data Acquisition Analyst

Warsaw, IN · On-site

The role will be responsible for capture, analysis, data dissemination, and follow-up of findings ... Qualifications Education/Experience Requirements Bachelor of Science degree in a statistics ...

Dmainc

Data Engineer

Fort Wayne, IN · Hybrid

$113K - $135K/yr

... senior data analyst to establish data governance Non-Essential Duties and Responsibilities Perform other duties as assigned Education and Qualifications Bachelor's degree in computer science ...

Dmainc

Data Engineer

Indianapolis, IN · Hybrid

$109K - $131K/yr

... senior data analyst to establish data governance Non-Essential Duties and Responsibilities Perform other duties as assigned Education and Qualifications Bachelor's degree in computer science ...

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All JobsEducational Data Analyst JobsEducational Data Analyst Jobs in Indiana

Educational Data Analyst information

See Indiana salary details

$32.4K

$78.6K

$129.4K

How much do educational data analyst jobs pay per year?

As of Jun 27, 2026, the average yearly pay for educational 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 a typical day look like for an Educational Data Analyst?

A typical day for an Educational Data Analyst often involves gathering, cleaning, and analyzing data from various educational platforms to uncover trends and identify areas for improvement. Analysts may collaborate closely with educators, administrators, and IT staff to interpret results, develop reports, and present findings in clear, actionable terms. The role also includes designing and maintaining dashboards, ensuring data accuracy, and supporting program evaluations across departments. Because the position often requires juggling multiple projects, organizational skills and the ability to communicate complex data insights to non-technical audiences are especially important.

Will AI replace a data analyst?

AI is unlikely to fully replace educational data analysts, as their role involves interpreting complex data, understanding context, and making strategic decisions that require human judgment. AI tools can automate routine tasks and assist in data processing, but analysts' expertise in data quality, insights, and communication remains essential. Developing skills in data visualization, statistical analysis, and AI tools can enhance an analyst's effectiveness in a changing technological environment.

What does an educational data analyst do?

An educational data analyst collects, analyzes, and interprets data related to student performance, school operations, and educational programs. They use statistical tools and software to identify trends, support decision-making, and improve educational outcomes. Strong skills in data management, reporting, and understanding of educational systems are essential for this role.

What does an Educational Data Analyst do?

An Educational Data Analyst collects, processes, and interprets data to support decision-making in educational institutions. They analyze student performance, enrollment trends, and institutional effectiveness to improve learning outcomes. Using statistical tools and software, they identify patterns, generate reports, and provide insights to educators and administrators. Their role helps optimize resource allocation, curriculum planning, and policy development.

Is 30 too late for data science?

Educational Data Analysts can enter the field at any age, as success depends on skills, experience, and continuous learning. Many professionals transition into data science or related roles later in their careers by acquiring relevant skills such as programming, statistics, and data visualization tools. Age is generally not a barrier if you develop the necessary technical expertise and stay current with industry trends.

What are the key skills and qualifications needed to thrive in the Educational Data Analyst position, and why are they important?

To thrive as an Educational Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid understanding of education systems, usually supported by a degree in statistics, data science, education, or a related field. Familiarity with tools such as SQL, Python or R, data visualization software like Tableau or Power BI, and experience with learning management systems are typically required. Excellent communication, critical thinking, and collaborative abilities set top performers apart in this position. These competencies are crucial for extracting actionable insights from complex educational data, enabling effective decision-making and improved student outcomes.

How to become an education data analyst?

To become an education data analyst, you typically need a bachelor's degree in education, statistics, data science, or a related field. Developing skills in data analysis tools like Excel, SQL, and statistical software, along with understanding educational metrics and data privacy, is essential. Gaining experience through internships or entry-level roles can also help build relevant expertise.
What are the most commonly searched types of Educational Data Analyst jobs in Indiana? The most popular types of Educational Data Analyst jobs in Indiana are:
What are popular job titles related to Educational Data Analyst jobs in Indiana? For Educational Data Analyst jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Educational Data Analyst jobs in Indiana look for? The top searched job categories for Educational Data Analyst jobs in Indiana are:
What cities in Indiana are hiring for Educational Data Analyst jobs? Cities in Indiana with the most Educational Data Analyst job openings:
Educational Data Analyst jobs near you
Infographic showing various Educational Data Analyst job openings in Indiana as of June 2026, with employment types broken down into 94% Full Time, and 6% Part Time. Highlights an 94% In-person, and 6% Hybrid job distribution, with an average salary of $78,637 per year, or $37.8 per hour.
Data & Analytics Analyst - Affiliates

Data & Analytics Analyst - Affiliates

Brotherhood Mutual Insurance Company

Fort Wayne, IN

Full-time

Posted 17 days ago

Job description

Job Title: Data & Analytics Analyst - Affiliates

FLSA Status: Exempt

Job Family: Affiliates

Department: Strategy & Operations - Affiliates

Location: Corporate Office (Fort Wayne, IN)


JOB SUMMARY
Responsible for the collection, storage, interpretation, and visualization of company and Affiliate data. Serves as team lead in bringing together data sets in visualization tools, and creating views that identify areas for portfolio focus and attention. Key contributor and input into the buildout and execution of the
Affiliate Data & Analytics practice in support of BrotherhoodWorks, Lightwell & ACG Agencies, and BMIC.


POSITION ESSENTIAL FUNCTIONS AND RESPONSIBILITIES
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • Understand objectives, business strategies, and key performance indicators (KPI’s) to provide meaningful management information and analysis to help drive financial and business performance.
  • Develop and maintain Affiliate dashboards through Power BI and other tools.
  • Identify trends, data discrepancies, and/or process improvement opportunities and provide recommended solutions to management.
  • Design, develop and implement predictive and descriptive data mining models to support data driven decision-making.
  • Facilitate development and operationalization of an environment of management information, business intelligence, and decision-making tools for Affiliate team members, and executive leadership.
  • Evaluate and recommend emerging technologies, products, and enterprise-wide solutions.
  • Apply feature selection algorithms to models predicting outcomes of interest, such as product use in the Affiliate niche market.
  • Lead in the production of statistical models, tools, and processes.
  • Deliver oral or written presentations of the results of mathematical modeling and data analysis to management or other end users.
  • Design surveys, opinion polls, or other instruments to collect data.
  • Identify business problems or management objectives that can be addressed through data analysis.
  • Identify relationships and trends or any factors that could affect the results of research.
  • Complete other projects as assigned.


KNOWLEDGE, SKILLS, AND ABILITIES
The requirements listed below are representative of the knowledge, skills, and/or abilities required to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with
disabilities to perform the essential functions.

  • Possess excellent technical and analytical abilities.
  • Demonstrate experience with analytical software, database user interface and query software.
  • Expertise in data mining, mathematics, statistical analysis, and predictive modeling.
  • Possess skills in looking at things differently, debugging, troubleshooting, designing, and implementing solutions to complex technical issues.
  • Effectively interface with external contacts, Brotherhood employees, managers, and department staff members.


EDUCATION AND/OR EXPERIENCE
List Degree Requirement, Years' Experience, and Certifications

  • Must have a bachelor's degree in an analytically focused area e.g., data analytics, economics, finance, math, computer science, statistics, or related discipline.
  • Must have three to four years of experience in a data science, analytics, or business insights role with some level of experience in the general insurance industry.
  • At least one year of experience with Excel, SQL, and/or a statistical programming language (e.g., Python, R, SAS) is required.
  • Experience in building analytics using data pipelines, data visualization tools, or dashboard creation is desired.
  • A master's degree in data science, computer science, statistics, or related discipline is desired.
  • Experience on resume within the insurance or financial services industries is desired.


Terms and Conditions

This description is intended to describe the general content of and requirements for the performance of this position. It is not to be construed as an exhaustive statement of duties, responsibilities, or requirements.

Because the company’s niche is the church and related ministries market, and because effective service requires a thorough understanding of this market, persons in this position must be familiar with church operations and must conduct themselves in a manner that will neither alienate nor offend persons within this target niche.

Brotherhood Mutual Insurance Company reserves the right to modify, interpret, or apply this position description in any way the company desires. This job description in no way implies that these are the only duties, including essential duties, to be performed by the employee occupying
this position. This position description is not an employment contract, implied or otherwise. The employment relationship remains “at-will”.

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