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Data Analytics Manager Jobs in Indiana (NOW HIRING)

LeoForce

Senior Manager Data Analytics

Watson, IN · On-site

$170 - $200/hr

Experience Senior Level Salary $170,000 - $200,000 per year Job Details We are seeking a hands‑on Data & BI Manager to lead a five‑person team across Data Engineering and Power BI while playing a ...

Linde

IT Manager - Data & Analytics

Indianapolis, IN · On-site

Linde Advanced Material Technologies Inc. IT Manager - Data & Analytics Indianapolis, IN, United States req29382 What you will enjoy doing* * In this role you will design and build scalable data ...

Linde

IT Manager - Data & Analytics

Indianapolis, IN · On-site

* In this role you will design and build scalable data pipelines that transform complex data into powerful insights using modern technologies * You will integrate diverse data sources with precision to ...

Haynes International

Senior Data Analytics Lead

Kokomo, IN · On-site

$100 - $125/hr

The Senior Data Analyst Lead is responsible for the strategic design, implementation, integration ... Participate as member of the core data management team representing and responsible for creating an ...

Banner Quality Management Inc

Data Analyst

Odon, IN · On-site

$60 - $80/hr

This position will focus on designing, developing, and implementing advanced data analytics, reporting solutions, and business intelligence tools to support program performance, cost management, and ...

Banner Quality Management Inc

Data Analyst

Odon, IN · On-site

This position will focus on designing, developing, and implementing advanced data analytics, reporting solutions, and business intelligence tools to support program performance, cost management, and ...

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All JobsData Analytics JobsData Analytics Manager JobsData Analytics Manager Jobs in Indiana

Data Analytics Manager information

See Indiana salary details

$29.5K

$92.4K

$163.7K

How much do data analytics manager jobs pay per year?

As of Sep 9, 2026, the average yearly pay for data analytics manager in Indiana is $92,439.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,800.00 and $119,400.00 per year, depending on experience, location, and employer.

What does a data analytics manager do?

A Data Analytics Manager oversees data analysis operations and leads a team of analysts to extract actionable insights from data. They are responsible for managing data-driven projects, ensuring data integrity, and presenting findings to help guide business decisions. Their role often involves collaborating with various departments, setting analytic strategies, and ensuring that the team uses the most effective tools and methodologies. Additionally, they may handle hiring, training, and performance reviews of analytics staff.

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

To thrive as a Data Analytics Manager, you need strong analytical skills, expertise in statistical methods, and a background in data science or a related field, often supported by a bachelor's or master's degree. Proficiency with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms like Python or R is typically required, along with experience in managing data projects. Leadership, strategic thinking, and effective communication are important soft skills for leading teams and translating data insights into actionable business strategies. These skills ensure that analytical initiatives drive business value and support informed decision-making across the organization.

How do data analytics managers typically collaborate with stakeholders from non-technical departments?

Data Analytics Managers often act as a bridge between technical data teams and non-technical stakeholders, such as marketing, finance, or operations. They translate complex data insights into actionable recommendations and ensure that analyses align with business objectives. Regular communication, tailored presentations, and workshops are common practices to ensure all stakeholders understand the value and limitations of analytical findings. This collaborative approach helps drive data-driven decision-making across the organization.

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

AspectData Analytics ManagerData Analyst
ResponsibilitiesOversees analytics projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to generate reports
Required SkillsLeadership, project management, advanced analyticsData manipulation, statistical analysis, visualization
QualificationsBachelor's or Master's in Data Science, Analytics, or related fields; certifications like CAP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentCorporate offices, analytics teams, cross-department collaborationData teams, business units, often in office or remote settings

In summary, a Data Analytics Manager leads analytics teams and strategies, requiring leadership skills and advanced certifications, while a Data Analyst focuses on data processing and reporting, with more technical and analytical tasks. Both roles are essential in data-driven organizations and often work closely together.

What are the most commonly searched types of Data Analytics jobs in Indiana?

The most popular types of Data Analytics jobs in Indiana are:

What are popular job titles related to Data Analytics Manager jobs in Indiana?

For Data Analytics Manager jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Data Analytics Manager jobs in Indiana look for?

The top searched job categories for Data Analytics Manager jobs in Indiana are:

What cities in Indiana are hiring for Data Analytics Manager jobs?

Cities in Indiana with the most Data Analytics Manager job openings:

Data Analytics Manager jobs near you
Infographic showing various Data Analytics Manager job openings in Indiana as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 79% Physical, 4% Hybrid, and 17% Remote job distribution, with an average salary of $92,439 per year, or $44.4 per hour.

Senior Manager Data Analytics

Watson, IN • On-site

LeoForce
Software Development • 51 - 200 employees
Learn more about LeoForceexternal

$170 - $200/hr

Other

Posted 6 days ago

Job description

Job DescriptionExperience

Senior Level

Salary

$170,000 - $200,000 per year

Job Details

We are seeking a hands‑on Data & BI Manager to lead a five‑person team across Data Engineering and Power BI while playing a key role in modernizing the organization's enterprise data architecture.

This is an ideal opportunity for someone who has grown from a technical IT or data engineering background into leadership but still enjoys being close to the technology.

You’ll work across Azure Data Factory, Azure Synapse, Microsoft Fabric, Power BI, Oracle, and Salesforce, helping create a more scalable and reliable data environment supporting Finance, Operations, Logistics, Supply Chain, and Sales.

The role will have meaningful influence over architecture decisions, data modeling, BI strategy, and how information moves from source systems through the organization. You’ll partner closely with senior leadership to develop the roadmap, prioritize projects, and translate complex business requirements into practical technical solutions.

You’ll also lead and develop a talented technical team, bringing structure, accountability, and mentorship while remaining willing to roll up your sleeves alongside them when needed.

What You'll Bring
  • Strong hands‑on experience with Azure Data Factory, Azure Synapse, and Microsoft Fabric
  • Data architecture modernization and data modeling experience
  • Strong understanding of Power BI and enterprise reporting environments
  • Technical foundation in IT, Data Engineering, BI, or Data Architecture
  • Ability to understand complex data flows across multiple enterprise systems
  • Strong business acumen and ability to translate business requirements into technical solutions
  • Experience leading, mentoring, or developing technical professionals
  • Organized, collaborative leadership style with the ability to operate both strategically and hands‑on

Experience within manufacturing, transportation, logistics, distribution, or another operationally complex environment is especially valuable.

What Success Looks Like

Within your first year, you’ll have helped establish a clear roadmap for the organization's future data architecture, strengthened the connection between Data Engineering and BI, improved the reliability and accessibility of enterprise reporting, and developed a team increasingly viewed as a strategic partner to the business.

A bit about us

Our client is an established transportation and logistics organization with complex operations spanning supply chain, logistics, commercial, and financial functions. As the organization continues to modernize its technology environment, it is making a significant investment in its data architecture, engineering, and business intelligence capabilities.

This is a highly visible opportunity to lead an existing five‑person Data Engineering and BI team while helping shape the future architecture of the organization's data environment.

Why join us?
  • $170K–$200K base + 15% bonus, with flexibility for an exceptional candidate
  • Up to $25K in relocation assistance
  • Clear growth path toward Associate Director / Director
  • Lead an established team of 5 across Data Engineering and Power BI
  • Serve as the technical right hand to a Director with a Finance background
  • Own meaningful data architecture modernization
  • Play a key role as the organization moves through an Oracle implementation
  • Work across Azure Data Factory, Azure Synapse, Microsoft Fabric, Power BI, Salesforce, Oracle, and industry‑specific operational systems
  • Opportunity to solve a major business problem: creating data the organization actually trusts
  • High visibility across Finance, Operations, Logistics, Supply Chain, and Sales
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