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Data Analysis Manager Jobs in Indiana (NOW HIRING)

Financial Planning & Analysis (FP&A) Manager 📍 Avon, IN | Hybrid Schedule 💰 $110,000 - $140 ... data-driven decision-making across the organization. The ideal candidate will bring strong FP&A ...

The Data Analysis Intern will have the opportunity to gain valuable hands-on experience in data ... This role provides exposure to SQL, Snowflake, Tableau, and modern data management practices. This ...

The Data Analysis Intern will have the opportunity to gain valuable hands-on experience in data ... This role provides exposure to SQL, Snowflake, Tableau, and modern data management practices. This ...

Corporate FP&A Manager Department: Finance / Accounting / Audit Employment Type: Full Time Location ... Systems, Data & Reporting (GLBI) * Own GLBI maintenance and governance, including: * New account ...

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

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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 Jun 18, 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.

What does a data analyst manager do?

A data analysis manager oversees data teams to collect, analyze, and interpret data to support business decisions. They develop strategies, ensure data quality, and communicate insights to stakeholders, often using tools like SQL, Excel, and data visualization software. Strong leadership, analytical skills, and knowledge of data management are essential for this role.

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.

Is AI replacing data analysts?

AI tools are automating certain data analysis tasks, but Data Analysis Managers and analysts remain essential for interpreting complex data, making strategic decisions, and ensuring data quality. AI enhances productivity and supports decision-making, but human expertise is still critical for nuanced analysis and business insights.

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.

Is 40 too late for data science?

For a Data Analysis Manager, age is not a barrier to entering or advancing in data science. Success depends on skills, experience, and continuous learning, such as mastering tools like SQL, Python, or R, regardless of age. Many professionals transition into data roles later in their careers and find opportunities based on their expertise and adaptability.

Is a data analyst well paid?

Data analysts are generally well paid, with salaries varying based on experience, location, and industry. Entry-level positions typically start around $50,000 annually, while experienced analysts or those with specialized skills like SQL or Python can earn over $80,000 or more per year.
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:
Infographic showing various Data Analysis Manager job openings in Indiana as of June 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, and 5% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $84,369 per year, or $40.6 per hour.

Financial Planning & Analysis Manager

CFS

Avon, IN • Hybrid

$110K - $140K/yr

Full-time

Posted 7 days ago


Job description

Financial Planning & Analysis (FP&A) Manager

📍 Avon, IN | Hybrid Schedule
💰 $110,000 – $140,000 Base Salary + Bonus Opportunity

We are seeking an experienced Financial Planning & Analysis (FP&A) Manager to join a growing, industry-leading construction and manufacturing organization. This role will serve as a strategic business partner to operations and executive leadership, driving financial visibility, profitability, forecasting accuracy, and data-driven decision-making across the organization.

The ideal candidate will bring strong FP&A expertise within a project-based or construction environment, along with advanced financial modeling and operational analysis experience.

Key Responsibilities
  • Maintain rolling forecasts and support scenario analysis
  • Partner with leadership to support strategic planning initiatives
  • Analyze profitability and performance by project type, department, and operational teams
  • Provide financial insights to Estimating, Engineering, Fabrication, and Field Operations
  • Support operational efficiency initiatives through financial analysis
  • Evaluate labor productivity, material usage, equipment utilization, and freight efficiency
  • Monitor fuel consumption, downtime, and operational cost trends
  • Oversee company spend compliance and reporting initiatives
  • Prepare and analyze project completion and cost reports
  • Develop and maintain financial and operational dashboards
  • Track KPIs including gross margin, cost variances, equipment downtime, and project completion metrics
  • Deliver actionable reporting to executive leadership
Qualifications
  • Bachelor’s degree in Finance or Accounting required
  • 5–8+ years of FP&A, finance, or operational finance experience
  • Construction, manufacturing, or project-based industry experience strongly preferred
  • Advanced Excel and financial modeling skills required
Why Join?
  • Competitive compensation package with bonus potential
  • Hybrid work environment
  • Opportunity to partner directly with operations and executive leadership
  • High-impact role with visibility across the organization
  • Stable and growing company with long-term career growth potential