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Data Analyst Project Manager Jobs in Indiana (NOW HIRING)

STI

Data Analyst

Indianapolis, IN · On-site

Data Analyst is responsible for collecting, processing, and analyzing data to help make data-driven ... Knowledge of database management and ETL (Extract, Transform, Load) processes. Familiarity with ...

BC Forward

Data Analyst (HEDIS)

Indianapolis, IN · On-site

$51 - $55/hr

We are seeking an Advisor Data Analyst to join our team supporting the Population Health Management (PHM) project for Medicaid in California. The role develops and maintains ad-hoc reports and ...

St. Joseph County, IN

Data Analyst

South Bend, IN

Data Analyst DEPARTMENT: St. Joseph County Department of Health WORK SCHEDULE: 8:00 a.m. - 4:30 p.m ... projects, and other uses as determined by the Health Officer and SJCDoH leadership. Research ...

Indiana University

Data Analyst

Indianapolis, IN · On-site

Demonstrates time management and priority setting skills. * Demonstrates a high commitment to ... Data Analysis & Engineering Click here to learn more about Indiana University's Job Framework.

New

First Financial Bank

Data Analyst I

Terre Haute, IN · On-site

Work with Project Managers, Development Managers, Business Analysts, Application Analysts, Stakeholders, and other team members to understand reporting requirements and data needs. * Develop ...

Accelint

Senior Data Analyst

Bloomington, IN · On-site

$99K - $124K/yr

... data management, and analytical outputs align with program objectives, technical standards, and ... Foster effective collaboration with cross-functional teams to achieve project objectives.

CSpring

Senior Data Analyst

Indianapolis, IN · On-site +1

$82K - $103K/yr

... project tracking and test management * 7 years of experience in SQL and Teradata for data extraction, modeling, and validation * 7 years of experience developing data dashboards and analytical ...

OrganOx

Senior Data Quality Analyst

Indianapolis, IN · On-site +1

Engage with managers to specify data requirements for analysis projects tailored to their unique business processes * Design scripts and tools to automatically extract large volumes of data from ...

EHOB INC

Operations Data Analyst

Indianapolis, IN · On-site +1

Lead or participate in data-driven projects, ensuring timely and accurate delivery of insights ... Experience with Salesforce (or other CRM), SQL, Tableau, Traverse (or other ERP System) a plus

State of Indiana

Associate Data Analyst

Indianapolis, IN · On-site

$55K/yr

... project direction and guidance. The Research Analyst is also responsible for working with Division ... Must be able to manage their time well, multi-task, and be able to work under pressure to meet ...

BCforward

Data Acquisition Analyst

Warsaw, IN · On-site

The role will be responsible for capture, analysis, data dissemination, and follow-up of findings ... Project Management, MS Office Professional Suite,Proficient in MS Access. Knowledge of JDE, DCS ...

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Showing results 21-40

All JobsData Analyst Project JobsData Analyst Project Manager JobsData Analyst Project Manager Jobs in Indiana

Data Analyst Project Manager information

See Indiana salary details

$32.4K

$78.6K

$129.4K

How much do data analyst project manager jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data analyst project manager 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.

Can a data analyst be a project manager?

A data analyst can transition into a project management role by developing skills in leadership, communication, and project planning. While data analysts typically focus on data interpretation and reporting, project managers oversee project execution, timelines, and team coordination, often requiring certifications like PMP. Combining technical expertise with project management skills can enable a data analyst to take on project management responsibilities.

What are the key skills and qualifications needed to thrive as a data analyst project manager?

To thrive as a Data Analyst Project Manager, you need expertise in data analysis, project management methodologies, and a relevant degree such as in statistics, computer science, or business. Familiarity with data visualization tools (e.g., Tableau, Power BI), project management software (e.g., Jira, Asana), and certifications like PMP or CAPM are often required. Strong communication, problem-solving, and leadership skills help you bridge technical teams and stakeholders while managing timelines and expectations. These abilities ensure that data-driven projects are executed efficiently, deliver actionable insights, and meet organizational goals.

What is the difference between Data Analyst Project Manager vs Data Analyst?

AspectData Analyst Project ManagerData Analyst
Primary RoleOversees data projects, manages teams, and ensures project deliveryAnalyzes data, creates reports, and provides insights
Required SkillsProject management, data analysis, communicationData analysis, statistical skills, visualization
CertificationsPM certifications (e.g., PMP), data analysis toolsData analysis certifications (e.g., Microsoft, SAS)
Work EnvironmentProject teams, cross-functional collaborationData-focused teams, analytics departments

The main difference is that a Data Analyst Project Manager combines project management with data analysis skills to lead data initiatives, while a Data Analyst primarily focuses on analyzing data and generating insights. The Project Manager role involves overseeing projects from start to finish, coordinating teams, and ensuring timely delivery, whereas the Data Analyst role centers on data interpretation and reporting.

How do data analyst project managers balance analytical work with project management responsibilities?

Data Analyst Project Managers often split their time between overseeing project timelines and deliverables, and performing or reviewing data analysis tasks. This dual focus means they must prioritize effective communication and delegation, ensuring that project goals are met while maintaining high standards for data quality and insights. Collaboration with data analysts, stakeholders, and other project managers is essential, as they often facilitate meetings, translate technical findings into actionable recommendations, and resolve obstacles that might affect the project's progress. Successfully managing both aspects requires strong organizational skills and the ability to adapt to shifting priorities.

Who earns more, a data analyst or a data analyst project manager?

A data analyst project manager typically earns more than a data analyst due to additional responsibilities, leadership duties, and project management skills. Salaries can vary based on experience, industry, and location, but project managers generally have higher compensation levels in data-related roles.
What are the most commonly searched types of Data Analyst Project jobs in Indiana? The most popular types of Data Analyst Project jobs in Indiana are:
What are popular job titles related to Data Analyst Project Manager jobs in Indiana? For Data Analyst Project Manager jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Data Analyst Project Manager jobs in Indiana look for? The top searched job categories for Data Analyst Project Manager jobs in Indiana are:
What cities in Indiana are hiring for Data Analyst Project Manager jobs? Cities in Indiana with the most Data Analyst Project Manager job openings:
Data Analyst Project Manager jobs near you
Infographic showing various Data Analyst Project Manager job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $78,637 per year, or $37.8 per hour.

Data Analyst

STI

Indianapolis, IN • On-site

Full-time

Re-posted 19 days ago

Job description

Data Analyst is responsible for collecting, processing, and analyzing data to help make data-driven decisions. This role involves working with large datasets, identifying trends, creating reports, and providing actionable insights to stakeholders.
Job Summary:
The Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make data-driven decisions. This role involves working with large datasets, identifying trends, creating reports, and providing actionable insights to stakeholders.
Key Responsibilities:
Gather, clean, and organize large datasets from various sources.
Validate and verify data accuracy, consistency, and completeness across various data sources.
Identify and resolve data discrepancies, inconsistencies and errors.
Performa routine and ad hoc data quality checks using automated and manual validation techniques.
Work closely with data entry teams and other analysts and stakeholders to ensure data integrity.
Perform data analysis to identify trends, patterns, and correlations.
Develop reports, dashboards, and visualizations using tools like Excel, SQL, Tableau, or Power BI.
Collaborate with cross-functional teams to support business objectives.
Interpret data to provide strategic recommendations and business insights.
Ensure data accuracy and integrity.
Use statistical techniques and predictive modeling to improve decision-making.
Document processes and methodologies for data collection and analysis.
Required Skills & Qualifications:
Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field.
Proficiency in data analysis tools such as SQL, Python, R, or Excel.
Experience with data visualization tools like Tableau, Power BI, or Google Data Studio.
Strong analytical and problem-solving skills.
Excellent communication and presentation abilities.
Ability to work independently and in a team-oriented environment.
Attention to detail and a strong understanding of data governance principles.
Preferred Qualifications:
Experience in machine learning, predictive modeling, or statistical analysis.
Knowledge of database management and ETL (Extract, Transform, Load) processes.
Familiarity with cloud platforms such as AWS, Google Cloud, or Azure.

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