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Bi Manager Jobs in Indiana (NOW HIRING)

Buaut

BI Developer

Lebanon, IN · On-site

BI Developer Location: Lebanon, Indiana (Onsite-5 days a week at client location) Experience: 5-7 ... Develop and manage Microsoft Fabric Lakehouses, Dataflows Gen2, Data Pipelines, and OneLake ...

CFS

Power BI Developer

Hanna, IN · Hybrid

$110K/yr

Our client is seeking a skilled BI Developer to manage, optimize, and enhance their ERP and reporting environment. This individual will play a key role in supporting SAP functionality while ...

CFS

Power BI Developer

La Porte, IN · Hybrid

$110K/yr

Our client is seeking a skilled BI Developer to manage, optimize, and enhance their ERP and reporting environment. This individual will play a key role in supporting SAP functionality while ...

Haynes International

Data Analytics Manager

Kokomo, IN · On-site

Design, develop, and maintain innovative data analytics and BI solutions to generate operational ... Manage analytics priorities and team performance * Create data governance framework with the entire ...

Pfizer

The data platforms this leader manages are a critical upstream dependency for the majority of AI ... Enterprise BI and visualization platforms (e.g., Tableau, Power BI, Spotfire) including platform ...

OPENLANE

BI Engineer

Carmel, IN

$51 - $66.25/hr

Collaborate independently with Product, Engineering, Marketing, and Program managers to align data infrastructure and BI tools with strategic business goals. * Actionable Reporting & Storytelling:

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All JobsBi JobsBi Manager JobsBi Manager Jobs in Indiana

Bi Manager information

See Indiana salary details

$28.1K

$108.7K

$159.4K

How much do bi manager jobs pay per year?

As of Aug 3, 2026, the average yearly pay for bi manager in Indiana is $108,726.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,400.00 and $135,600.00 per year, depending on experience, location, and employer.

What is the difference between Bi Manager vs Data Analyst?

AspectBi ManagerData Analyst
Required CredentialsBachelor's or Master’s in Business, Data Science, or related field; often prefers experience in BI toolsBachelor's in Statistics, Mathematics, or related field; often requires proficiency in data analysis tools
Work EnvironmentLeads BI teams, collaborates with management, oversees reporting systemsAnalyzes data sets, creates reports, supports decision-making
Employer & Industry UsageCommon in corporate, finance, retail, and tech industriesWidely used across industries for data-driven insights

The Bi Manager focuses on leading BI teams and strategic implementation of business intelligence solutions, while Data Analysts primarily analyze data and generate reports to support business decisions. Both roles require strong analytical skills, but the Bi Manager has more leadership responsibilities and strategic oversight.

What are BI Managers?

BI Managers, or Business Intelligence Managers, oversee the strategy, implementation, and management of business intelligence systems within an organization. They lead teams that analyze data to help companies make informed business decisions and improve processes. Their responsibilities include managing BI tools, coordinating data analysis projects, and ensuring that data-driven insights align with organizational goals. BI Managers often collaborate with IT, business stakeholders, and executive leadership to support data-driven decision making.

What is the role of a BI manager?

A BI (Business Intelligence) manager oversees the development and implementation of data analysis and reporting systems to support business decision-making. They manage teams of analysts, work with tools like SQL and Tableau, and ensure data accuracy and security. The role often requires strong analytical skills, knowledge of data warehousing, and experience with BI software.

What jobs pay $500,000 a year in the US?

For a Business Intelligence (BI) Manager, earning $500,000 annually is uncommon but possible in senior roles within large corporations or tech companies, especially with bonuses, stock options, and profit sharing. High-level BI managers with extensive experience, advanced skills in data analysis tools, and leadership responsibilities may reach this compensation level, often in industries like finance, technology, or consulting. Such roles typically require a combination of technical expertise, strategic thinking, and managerial experience.

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

To thrive as a BI Manager, you need strong analytical skills, expertise in data modeling, and a background in statistics or computer science, often supported by a relevant degree. Proficiency with BI tools such as Power BI, Tableau, SQL, and data warehousing systems, as well as certifications like CBIP, are typically required. Leadership, communication, and problem-solving skills help BI Managers effectively guide teams and translate business needs into data-driven solutions. These abilities are crucial for delivering actionable insights and driving strategic decision-making within organizations.

Are BI analysts in demand?

BI analysts are in high demand across various industries due to the increasing reliance on data-driven decision making. Organizations seek professionals skilled in data analysis, visualization tools, and database management to improve business performance and competitiveness.

How do BI Managers typically collaborate with other departments to ensure data-driven decision-making?

BI Managers regularly work with stakeholders across departments such as marketing, finance, and operations to understand their data needs and provide actionable insights. They facilitate communication between technical teams (like data analysts and engineers) and business units, ensuring that data solutions align with organizational goals. This collaboration often involves gathering requirements, delivering reports or dashboards, and providing training to non-technical users. Strong interpersonal and project management skills are essential for BI Managers to bridge gaps and drive effective data-driven strategies.

What jobs in the US pay 300,000 a year?

For a Business Intelligence (BI) Manager, annual salaries of $300,000 or more are typically found in senior roles within large corporations, especially those involving extensive data strategy, leadership, and technical expertise. High compensation may also be associated with experience, industry, and geographic location, often requiring advanced skills in data analysis, team management, and familiarity with BI tools like Tableau or Power BI.
What are the most commonly searched types of Bi jobs in Indiana? The most popular types of Bi jobs in Indiana are:
What cities in Indiana are hiring for Bi Manager jobs? Cities in Indiana with the most Bi Manager job openings:
Bi Manager jobs near you
Infographic showing various Bi Manager job openings in Indiana as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 89% Physical, 5% Hybrid, and 6% Remote job distribution, with an average salary of $108,726 per year, or $52.3 per hour.

BI Developer

Buaut

Lebanon, IN • On-site

Other

Posted 19 days ago

Job description

 
Role: BI Developer
Location: Lebanon, Indiana (Onsite-5 days a week at client location)
Experience: 5-7 Years
Visa: Any (Which doesn''t require sponsorship)
Contract: 6+ months with possible extension
 
 
Job Summary
We are looking for an experienced Senior Azure Databricks & Microsoft Fabric Data Engineer to design, develop, and implement scalable cloud-based data platforms using Microsoft Azure technologies. The ideal candidate should have strong hands-on experience with Azure Databricks, Microsoft Fabric, and modern data engineering practices, along with the ability to deliver enterprise-scale data platform solutions from design through production deployment.
Key Responsibilities
  • Design, develop, and maintain scalable data pipelines using Azure Databricks.
  • Develop ETL/ELT workflows using PySpark, Spark SQL, Delta Lake, and Databricks Notebooks.
  • Build and optimize Lakehouse and Data Warehouse architectures.
  • Develop and manage Microsoft Fabric Lakehouses, Dataflows Gen2, Data Pipelines, and OneLake solutions.
  • Perform data ingestion, transformation, validation, and performance tuning.
  • Collaborate with business stakeholders, solution architects, BI developers, and cross-functional teams to translate business requirements into technical solutions.
  • Participate in solution design, code reviews, testing, deployment, and production support.
  • Follow best practices for data security, governance, documentation, and CI/CD.
Mandatory Skills
  • Strong hands-on experience with Azure Databricks.
  • Expertise in PySpark, Spark SQL, Delta Lake, and Databricks Notebooks.
  • Solid working knowledge of Microsoft Fabric, including Lakehouses, Dataflows Gen2, Data Pipelines, and OneLake.
  • Strong understanding of Data Warehouse and Lakehouse architecture.
  • Experience delivering large-scale enterprise data platform projects from design to production.
  • Strong SQL skills and data modelling experience.
  • Excellent communication and stakeholder management skills.
Good to Have
  • Power BI (Data Modelling, DAX, Power Query, Report Development).
  • Azure Data Factory, Azure Data Lake Storage Gen2, Azure DevOps, Git, CI/CD.
  • Azure Synapse Analytics, Unity Catalog, Microsoft Purview.
  • Experience in Agile/Scrum environments.
  • Microsoft Azure or Microsoft Fabric certifications.
Required Experience
  • 8–15 years of overall IT experience with at least 4+ years in Azure Data Engineering.
  • Proven experience building enterprise-scale cloud data platforms.
  • Experience working with structured and semi-structured data.
  • Strong problem-solving and analytical skills with the ability to work independently.
Education
Bachelor''s or Master''s degree in Computer Science, Information Technology, Engineering, or a related discipline.
Preferred Domain Experience
Experience in Manufacturing, Pharmaceuticals, Healthcare, Life Sciences, or Supply Chain domains will be an advantage. Exposure to regulated environments (GxP/FDA) is desirable.
Keywords: Azure Databricks, PySpark, Delta Lake, Microsoft Fabric, Lakehouse, OneLake, Dataflows Gen2, Data Pipelines, SQL, Data Warehouse, Azure Data Engineering, Power BI, DAX, Azure DevOps, ETL, Cloud Data Platform.
 

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