1

Data Warehousing Manager Jobs in Indiana (NOW HIRING)

Data Analytics Engineer

Kokomo, IN · On-site

$101K - $121K/yr

Implements and maintains analytics systems, data warehouses, or data lakes to store and manage structured and unstructured data * Creates and maintains dashboards, visualizations, and reports using ...

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

HIRING MANAGER Vice President of Information Technology RESPONSIBILITIES • Data warehouse design, maintenance, performance tuning, and optimization. • Design and manage ETL/ELT pipelines, data ...

... management systems such as MySQL, PostgreSQL, or SQL Server, required * Proficiency in programming languages such as Python, Java, or Scala, required * Familiarity with data warehousing solutions and ...

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

HIRING MANAGER Vice President of Information Technology RESPONSIBILITIES • Data warehouse design, maintenance, performance tuning, and optimization. • Design and manage ETL/ELT pipelines, data ...

... management systems such as MySQL, PostgreSQL, or SQL Server, required * Proficiency in programming languages such as Python, Java, or Scala, required * Familiarity with data warehousing solutions and ...

New

Data Engineer

Carmel, IN · On-site

$114K - $137K/yr

... Management and Strategy. Job Duties and Responsibilities: Data Integration Development and ... Creates and maintains documentation of data warehouse structures, data stores and end-to-end data ...

... management initiatives. You will collaborate with both technical and business teams to ensure data ... Support enterprise data warehousing and analytics platforms Stakeholder Engagement & Collaboration

New

Data Analyst

Indianapolis, IN · On-site

$75 - $95/hr

Support Agile and structured project management methodologies throughout the project lifecycle ... Background in ETL and data warehousing * Experience with Teradata SQL Assistant, SharePoint, and MS ...

Sr. Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Build and manage data transformations using DBT and/or SQLMesh * Develop solutions within ... Familiarity with data warehousing and lakehouse architectures * Experience building modular or ...

Data Strategy-Manager

Indianapolis, IN · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... warehousing concepts - Familiarity with big data engineering tools - Proficiency in SQL and data ...

Senior Data Engineer

Carmel, IN · On-site

$105K - $143K/yr

... Data Management and Data Strategy roadmaps. Job Duties and Responsibilities * Creates detailed documentation of data warehouse, data stores, and end-to-end data flows * Troubleshoots and corrects ...

Senior Data Engineer

Carmel, IN · On-site

$105K - $143K/yr

... Data Management and Data Strategy roadmaps. Job Duties and Responsibilities * Creates detailed documentation of data warehouse, data stores, and end-to-end data flows * Troubleshoots and corrects ...

Project Manager - Data

Carmel, IN · On-site

$49 - $66.50/hr

Familiarity with data warehousing, ETL/ELT, cloud platforms (Azure, AWS), or BI tools such as Power BI or Tableau. * Experience managing vendor relationships or multi-vendor delivery teams.

next page

Showing results 1-20

Data Warehousing Manager information

What is a data warehousing manager?

Data Warehousing Managers are professionals responsible for overseeing the design, implementation, and maintenance of data warehouse systems within an organization. They lead teams that collect, store, and manage large volumes of data from various sources to support business analytics, reporting, and decision-making. Their role often includes ensuring data integrity, optimizing system performance, and coordinating with stakeholders to meet business requirements. Data Warehousing Managers also stay updated on new technologies and best practices to enhance data management processes.

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

To thrive as a Data Warehousing Manager, you need expertise in database management, ETL processes, data modeling, and a relevant degree in computer science or information systems. Familiarity with data warehousing platforms like Amazon Redshift, Snowflake, or Microsoft SQL Server, as well as proficiency in tools such as Informatica and SQL, is typically required. Strong leadership, project management, and communication skills help in coordinating teams and aligning data strategies with business goals. These skills ensure optimal data storage, accessibility, and integrity, which are crucial for informed decision-making and organizational success.

What are some common challenges faced by data warehousing managers when working with cross-functional teams?

Data Warehousing Managers often collaborate with IT, business analysts, and data scientists to ensure that warehouse solutions meet organizational needs. One common challenge is aligning data requirements across departments, as different teams may have conflicting priorities or use inconsistent data definitions. Effective communication and strong project management skills are crucial to bridging these gaps and delivering solutions that are both technically sound and aligned with business goals. Additionally, managing expectations around data quality, integration timelines, and system performance can be demanding, but proactive stakeholder engagement and clear documentation can help mitigate these issues.

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

AspectData Warehousing ManagerData Analyst
Required CredentialsBachelor's in Computer Science, Data Management, or related field; often certifications in data warehousing or database managementBachelor's in Statistics, Mathematics, or related field; certifications in data analysis tools (e.g., Excel, SQL, Tableau)
Work EnvironmentOversees data warehouse teams, manages infrastructure, and ensures data integrity in enterprise settingsAnalyzes data sets, creates reports, and provides insights primarily using analytical tools
Employer & Industry UsageUsed in large corporations, finance, healthcare, and retail for managing large-scale data systemsCommon across industries for business intelligence, marketing, and operations analysis

The Data Warehousing Manager focuses on overseeing data storage systems, infrastructure, and team management, ensuring data is accessible and reliable. In contrast, the Data Analyst primarily interprets data, creates reports, and provides insights to support decision-making. Both roles require strong technical skills but differ in scope and responsibilities.

Is data warehousing a good career?

Data warehousing managers oversee the design, implementation, and maintenance of data storage systems that support business intelligence and analytics. The role requires strong technical skills in database management, SQL, and data modeling, and offers opportunities in various industries with competitive salaries and growth potential. It is considered a stable and in-demand career path for those with expertise in data management and related tools.

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

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

Infographic showing various Data Warehousing Manager job openings in Indiana as of August 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution.

Data Analytics Engineer

Haynes International

Kokomo, IN • On-site

$101K - $121K/yr

Full-time

Re-posted 2 days ago


Haynes International rating

5.5

Company rating: 5.5 out of 10

Based on 12 frontline employees who took The Breakroom Quiz


Job description

About the Opportunity:
The analytics engineer makes sure data is ingested, transformed, scheduled, and ready to be used for analytics. This role is responsible for designing, implementing, and maintaining data pipelines, analytics systems, and reporting solutions. The analytics engineer also models raw data into clean, tested, and reusable datasets to allow business stakeholders to view and understand data in a warehouse or database.
Qualifications (Required & Preferred):
Education: A bachelor's degree in computer science, data science, software engineering, or related field (R)
Experience: At least five years of experience in data analytics, data engineering, software engineering, or a similar role (R); Expertise in data modeling, ETL development, and data analysis (R)
Skills: Strong ability in SQL for data extraction and manipulation, and proficiency in data warehousing concepts/tools such as Targit, Ignite, and Power BI; Familiarity with cloud-based data platforms such as Azure for data storage and processing; Substantial programming ability using languages/tools such as C++ & .NET for data manipulation and scripting; Solid understanding of relevant data governance, data quality, and data security best practices; Strong problem-solving skills, and the ability to think critically and analytically; Knowledge of ETL processes, data integration, and data warehousing concepts.; Familiarity with data visualization tools such as Targit & Power BI; Knowledge of upgrading data systems like Targit; Excellent communication skills to effectively collaborate with cross-functional teams and present insights to business stakeholders (all R).
Role Responsibilities:
  • Delivers well-defined, transformed, tested, documented, and code-reviewed datasets for analysis
  • Builds data aggregation pipelines using SQL, .NET, Targit, Power BI
  • Creates robust data models and architectures to support analytics initiatives
  • Collaborate with business stakeholders to understand their analytics needs and deliver comprehensive reports, dashboards, and models
  • Identifies and implements optimizations to continually enhance query performance, reduce processing time, and increase overall productivity
  • Designs, develops and maintains data pipelines to ensure efficient and reliable ETL processes
  • Implements and maintains analytics systems, data warehouses, or data lakes to store and manage structured and unstructured data
  • Creates and maintains dashboards, visualizations, and reports using tools such as Targit & Power BI to enable data-driven decision-making
  • Collaborates with Data Analytics Manager to incorporate Power BI and data governance across the organization
  • Ensures data quality and accuracy by implementing data validation, monitoring, and error-handling processes

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

What Haynes International employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom