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Data Analysis Manager Jobs in Indiana (NOW HIRING)

Data Analysis & Reporting * Collect, analyze, validate, and interpret structured and unstructured ... Data Management & Process Improvement * Maintain data integrity through quality assurance reviews ...

... 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 ...

Who has nearly 5+ years of experience in the analysis of Marketing data using SAS and other statistical modeling tools. Who is good in management or leadership role. Who is good in providing external ...

... 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 ...

Provide expert-level support for ad hoc data requests, data analysis, and special projects ... Must be able to simultaneously manage multiple projects and deadlines * Must have ability to ...

POSITION SUMMARY The Financial Planning & Analysis Manager is responsible for supporting enterprise ... Translate complex financial and operational data into clear, actionable recommendations for ...

... General Managers in the capture and analysis of findings for the Global Quality Report and ... Must possess an in depth understanding of data analysis and graphical presentation methods.

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ...

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Data Analysis Manager information

See Indiana salary details

$21.4K

$84.4K

$137K

How much do data analysis manager jobs pay per year?

As of Jul 8, 2026, the average yearly pay for data analysis manager in Indiana is $84,369.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,800.00 and $103,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Analysis Manager, and why are they important?

To thrive as a Data Analysis Manager, you need advanced analytical skills, a strong background in statistics or data science, and relevant experience often backed by a degree in mathematics, computer science, or a related field. Expertise in tools such as SQL, Python, R, and business intelligence platforms, along with proficiency in data visualization software like Tableau or Power BI, is typically required. Leadership, effective communication, and problem-solving abilities are crucial soft skills for managing teams and translating complex data insights into actionable business strategies. These skills and qualities are essential for driving data-informed decision-making and ensuring the success of analytics initiatives within an organization.

How does a Data Analysis Manager typically collaborate with other departments within an organization?

A Data Analysis Manager regularly partners with teams such as marketing, finance, operations, and IT to identify data needs and translate business questions into actionable analysis. They facilitate communication between data analysts and stakeholders, ensuring that data insights are aligned with organizational goals. By leading cross-functional meetings and presenting findings to non-technical audiences, they help drive data-informed decision-making across the company. This collaborative approach not only enhances the impact of analytics but also fosters a culture of data literacy throughout the organization.

What does a Data Analysis Manager do?

A Data Analysis Manager oversees teams that collect, process, and interpret data to help organizations make informed business decisions. They are responsible for managing data projects, ensuring data quality, and translating complex data findings into actionable insights for stakeholders. Additionally, they often coordinate with other departments, set analytical strategies, and mentor data analysts. Their role is crucial for driving data-driven decision-making in a company.

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

AspectData Analysis ManagerData Analyst
ResponsibilitiesOversees data analysis projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to support business decisions
Required SkillsLeadership, project management, advanced analyticsStatistical analysis, data visualization, technical skills
QualificationsBachelor's or master's in data science, statistics, or related field; experience in managementBachelor's in data science, statistics, or related field; technical proficiency
Work EnvironmentTypically in corporate offices, leading teamsOften in office or remote, focused on individual analysis tasks

The main difference between a Data Analysis Manager and a Data Analyst lies in scope and responsibilities. The manager oversees teams and strategic projects, while the analyst focuses on executing data analysis tasks. Both roles require strong analytical skills and relevant qualifications, but the manager's role emphasizes leadership and project management.

What are the most commonly searched types of Data Analysis jobs in Indiana? The most popular types of Data Analysis jobs in Indiana are:
What cities in Indiana are hiring for Data Analysis Manager jobs? Cities in Indiana with the most Data Analysis Manager job openings:
Data Analytics Developer

Full-time

Re-posted 17 days ago


Subaru of Indiana Automotive rating

6.6

Company rating: 6.6 out of 10

Based on 75 frontline employees who took The Breakroom Quiz

36th of 44 rated automakers


Job description

Data Analytics Developer
Information Technology Department
Position Summary:
Data Analytics Developers are data experts who design, build and maintain data analysis solutions. Data Analytics Developers understand, mine, aggregate, and expose business data to enable efficient decision-making and the discovery of data-based business insights. Data Analytics Developers use a variety of tools, techniques, and languages to create dashboards and populate reporting tools.
Outline of Duties:
  • Collaborate with SIA management and business users to define data analysis requirements and specifications
  • Work with transactional system developers to locate and understand source data
  • Use ETL and data modeling tools to translate requirements into functioning, accurate data analysis solutions, including writing custom code in SQL, Python, MDX and other languages as needed
  • Develop efficient, robust ETL processes to extract data from transactional systems and other sources; follow organizational change management procedures
  • Design, create, and maintain data warehouses, data lakes, data marts, etc. to support analysis and reporting, following best practices and considering data retention policies
  • Create and model ontology objects; design and build reports and data visualizations, including dashboards
  • Modify solutions to fix errors, adapt to new hardware or runtimes, improve performance, or upgrade interfaces or software versions
  • Lead and/or support continuous improvement activities to improve analysis capability and performance; advise the business on possible and recommended metrics based on experience and industry best practice
  • Deliver ad hoc reports and data extracts as needed
  • All other duties as assigned (ex. perform or coordinate web development)

Minimum Qualifications:
  • Bachelor's Degree in Computer Science, Data Analytics, Informatics or related field or equivalent

Desired Qualifications:
  • Master's Degree in Computer Science or related field or equivalent experience
  • Experience with Palantir Foundry

Subaru of Indiana Automotive, Inc. is an equal opportunity employer committed to employing a diverse workforce.

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