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Regional Data Analyst Jobs in Indiana (NOW HIRING)

CSpring

Data Analyst

Indianapolis, IN · On-site

... regional coalitions, and stakeholders) as needed. * Balance technical constraints, operational ... data analysis, informatics, or epidemiology. * Demonstrated experience gathering and documenting ...

CSpring

Data Analyst

Indianapolis, IN

... regional coalitions, and stakeholders) as needed. * Balance technical constraints, operational ... data analysis, informatics, or epidemiology. * Demonstrated experience gathering and documenting ...

CSpring

Data Analyst

Indianapolis, IN · On-site

... regional coalitions, and stakeholders) as needed. * Balance technical constraints, operational ... data analysis, informatics, or epidemiology. * Demonstrated experience gathering and documenting ...

OrganOx

Senior Data Quality Analyst

Indianapolis, IN · On-site +1

... and regions. Position Summary The Senior Data Analyst is responsible to deliver insightful metrics, reports, and dashboards to support our business. The role requires collaboration with other ...

Danaher

Logistics Data Analyst

Indianapolis, IN · On-site

The Logistics Analyst will use analytical tools to extract, validate, and organize logistics data ... Experience working in a global or multi-regional environment * Knowledge across multiple ...

Danaher

Logistics Data Analyst

Indianapolis, IN

The Logistics Analyst will use analytical tools to extract, validate, and organize logistics data ... Experience working in a global or multi-regional environment * Knowledge across multiple ...

Danaher

Business Insights Analyst

Indianapolis, IN · On-site

Do you enjoy data analytics? Then read on! We are currently seeking a data insights analyst who ... Lead global and regional revenue forecasting for equipment and consumables, analyzing pricing ...

Danaher

Business Insights Analyst

Indianapolis, IN · On-site +1

Do you enjoy data analytics ? Then read on! We are currently seeking a data insights analyst who ... Lead global and regional revenue forecasting for equipment and consumables, analyzing pricing ...

Linde

IT Manager - Data & Analytics

Indianapolis, IN · On-site

Linde Advanced Material Technologies Inc. IT Manager - Data & Analytics Indianapolis, IN, United ... its business areas, regions and locations across the globe. The company is committed to ...

Vergence

Data Coordinator

Indianapolis, IN · On-site

$27/hr

Pay: $27.00/hour In this role you will: * Assist with data analysis in databases. * Work with ... Outreach to potential project partners in local, regional healthcare as well as community-based ...

M&K Truck Centers

Regional Inventory Manager

Pendleton, IN · On-site

$60K - $90K/yr

M&K Truck Centers is one of the largest regional dealers of commercial trucks and truck parts in ... Analyze inventory data and generate reports to improve stock accuracy and turnover * Oversee stock ...

New

M&K Truck Centers

Regional Inventory Manager

Gary, IN · On-site

$60K - $90K/yr

M&K Truck Centers is one of the largest regional dealers of commercial trucks and truck parts in ... Analyze inventory data and generate reports to improve stock accuracy and turnover * Oversee stock ...

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All JobsRegional Data Analyst JobsRegional Data Analyst Jobs in Indiana

Regional Data Analyst information

See Indiana salary details

$32.4K

$78.6K

$129.4K

How much do regional data analyst jobs pay per year?

As of Jul 30, 2026, the average yearly pay for regional data analyst in Indiana is $78,637.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $92,300.00 per year, depending on experience, location, and employer.

How does a Regional Data Analyst typically collaborate with local teams across different regions?

Regional Data Analysts often work closely with local teams to gather region-specific data, understand unique market trends, and ensure data accuracy. They facilitate regular communication through virtual meetings and reports to translate analytical findings into actionable strategies tailored to each region. This collaboration helps bridge the gap between centralized data insights and local business needs, making adaptability and strong interpersonal skills essential for success in this role.

What are the 4 types of data analyst?

Data analysts can be categorized into four main types: business analysts, data scientists, data engineers, and quantitative analysts. Each role focuses on different aspects of data, such as interpreting business needs, developing models, managing data infrastructure, or performing statistical analysis, often requiring proficiency in tools like SQL, Excel, and visualization software.

What is the difference between Regional Data Analyst vs Data Analyst?

AspectRegional Data AnalystData Analyst
Required CredentialsBachelor's degree in data-related field; proficiency in data analysis toolsBachelor's degree in related field; strong analytical skills
Work EnvironmentRegional offices, field sites, or corporate headquartersOffice settings, data centers, or remote
Employer & Industry UsageBusinesses with regional operations, government agencies, NGOsVarious industries including finance, marketing, healthcare

The main difference is that a Regional Data Analyst focuses on analyzing data specific to a geographic region, often requiring knowledge of regional markets and trends. A Data Analyst has a broader scope, working with data across various functions without regional specialization. Both roles require similar skills and credentials but differ in their focus and application.

What jobs pay 200,000 a year in the USA?

In the USA, senior-level roles such as data scientists, software engineers, IT managers, and financial managers can earn $200,000 or more annually. These positions often require advanced skills, relevant certifications, and experience with tools like SQL, Python, or financial modeling, and may involve leadership responsibilities or specialized expertise.

What does a regional analyst do?

A regional data analyst collects, analyzes, and interprets data related to specific geographic areas to support business decision-making. They use tools like Excel, SQL, or data visualization software to identify trends, patterns, and insights that help organizations optimize operations and strategies within their assigned region.

What does a Regional Data Analyst do?

A Regional Data Analyst is responsible for collecting, analyzing, and interpreting data related to a specific geographic area or region. They help organizations make informed business decisions by identifying trends, patterns, and insights within regional datasets. Their work often involves creating reports, dashboards, and visualizations to communicate findings to stakeholders. Regional Data Analysts may also collaborate with other teams to improve data quality and support strategic planning tailored to the unique needs of the region.

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

To thrive as a Regional Data Analyst, you need strong analytical skills, proficiency in statistical methods, and a relevant degree in fields such as statistics, mathematics, economics, or data science. Familiarity with data visualization tools (like Tableau or Power BI), programming languages (such as SQL or Python), and experience with database systems are typically required. Excellent problem-solving abilities, attention to detail, and effective communication skills help you interpret data insights and collaborate with regional teams. These competencies are crucial for transforming complex regional data into actionable insights that support business decision-making and strategic planning.

What field is the highest paid data analyst?

Data analysts working in finance, technology, and healthcare tend to have the highest salaries, especially those with expertise in advanced analytics, machine learning, and programming tools like Python or R. Senior roles or those with specialized skills and certifications often command higher pay across industries.
What are the most commonly searched types of Data Analyst jobs in Indiana? The most popular types of Data Analyst jobs in Indiana are:
What cities in Indiana are hiring for Regional Data Analyst jobs? Cities in Indiana with the most Regional Data Analyst job openings:
Regional Data Analyst jobs near you

Data Analyst

CSpring

Indianapolis, IN • On-site

Full-time

Re-posted 5 days ago

Job description

At CSpring, we believe in the power of people and data to drive real-world impact. We're a purpose-driven consulting firm that helps organizations solve complex problems, gain insights, and achieve measurable results. Our clients span the public and private sectors, and our work - from data strategy and engineering to workforce transformation - improves lives across Indiana and beyond. We're seeking talented professionals who are collaborative, curious, and committed to making a difference.
Why You'll Love Working Here
  • Mission-Driven Work - Support the transformation of rural healthcare across Indiana through a landmark $207M federal investment. Your work will directly strengthen health outcomes for Hoosier communities.
  • People-First Culture - We're as committed to your growth as we are to delivering high-impact solutions. You'll find support, autonomy, and community here.
  • Strategic, Hands-On Work - From program coordination and stakeholder engagement to data modernization and clinical readiness, you'll influence every step of the process.
  • Collaborative Trust - Our clients rely on us to listen carefully, deliver consistently, and guide wisely. We partner with integrity, curiosity, and heart.

What You'll Do
You will serve as the bridge between leadership, teams, and external partners - analyzing, documenting, and validating what the program needs from its data, then building the products that answer it.
  • Create data products for strategic activities covering grant operations, initiative outcomes and metric tracking, fiscal analyses and trends, and support for coordination of the program evaluation vendor.
  • Analyze, document, and validate program operational needs, reporting requirements, and data governance requirements for evaluating outcomes.
  • Facilitate stakeholder discussions, working sessions, and data management related to data sources with internal and external stakeholders.
  • Review solution designs and deliverables to ensure alignment with documented requirements and business objectives.
  • Coordinate internally with the Data Operations team to ensure data architecture, infrastructure, and governance capabilities within the enterprise data warehouse.
  • Prepare documentation, briefings, and reports for leadership, governance bodies, and project teams.
  • Develop timelines, risk registers, and impact summaries for data activities for leadership.
  • Coordinate with internal teams (IT, legal, finance, initiative leads) and external partners (vendors, providers, regional coalitions, and stakeholders) as needed.
  • Balance technical constraints, operational realities, regulatory considerations, and diverse stakeholder needs while maintaining high data quality and governance standards.
  • Support other related Rural Health Transformation activities as requested.

Requirements
  • Bachelor's degree from an accredited university in public health, health informatics, information systems, or a related field.
  • 3+ years of directly applicable experience in data analysis, informatics, or epidemiology.
  • Demonstrated experience gathering and documenting requirements for complex, multi-stakeholder systems or programs.
  • Experience working cross-collaboratively with internal divisions or external partners.
  • Excellent written and verbal communication skills, including experience working with both technical and non-technical audiences.
  • Experience with analytical tools as well as visualization tools such as Tableau.
  • Proficiency with common productivity and project management tools (Microsoft O365, project management platforms, collaboration tools).
  • Independent judgment and critical thinking - comfort working through ambiguity and evolving requirements with minimal guidance.
Preferred Experience
  • Master's degree in public health, health informatics, or a related field.
  • Familiarity with public health program implementation and evaluation methodologies.
  • Familiarity with conducting scientific research literature reviews.
  • SQL and hands-on experience querying an enterprise data warehouse.
  • Prior experience in a state agency, grant-funded program, or other government environment.
  • Background in rural health, health equity, or Medicaid data.

At CSpring, we unlock the potential of people and data. If you're ready to lead meaningful work, collaborate with passionate teams, and grow your career in a people-first consulting environment - apply today!

Apply