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Remote Quantitative Data Analyst Jobs in Indiana

Guides students through designing experiments, analyzing quantitative data, writing laboratory reports, and applying scientific reasoning to real-world problems. Emphasizes connecting theory to ...

High School Science Tutor

Fort Wayne, IN ยท Remote

$18 - $40/hr

Guides students through designing experiments, analyzing quantitative data, writing laboratory reports, and applying scientific reasoning to real-world problems. Emphasizes connecting theory to ...

Guides students through designing experiments, analyzing quantitative data, writing laboratory reports, and applying scientific reasoning to real-world problems. Emphasizes connecting theory to ...

High School Science Tutor

Valparaiso, IN ยท Remote

$18 - $40/hr

Guides students through designing experiments, analyzing quantitative data, writing laboratory reports, and applying scientific reasoning to real-world problems. Emphasizes connecting theory to ...

HRIS Program Manager

South Bend, IN ยท Remote

$100K - $145K/yr

Collect, analyze, and report on HR metrics , utilizing data insights to assess program ... Influence internal stakeholders' decision-making through qualitative and quantitative data-based ...

Data Architect

Indianapolis, IN ยท Remote

$61 - $78.50/hr

We are looking for a talented Data Architect to join our team specializing in Systems/Information Technology for Cummins, Inc. as part of DBU Data & Analytics, Remote. In this role, you will make an ...

Data Architect

Indianapolis, IN ยท Remote

$61 - $78.50/hr

We are looking for a talented Data Architect to join our team specializing in Systems/Information Technology for Cummins, Inc. as part of DBU Data & Analytics, Remote. In this role, you will make an ...

Data Architect

Indianapolis, IN ยท Remote

$61 - $78.50/hr

We are looking for a talented Data Architect to join our team specializing in Systems/Information Technology for Cummins, Inc. as part of DBU Data & Analytics, Remote. In this role, you will make an ...

Data Architect

Indianapolis, IN ยท On-site +1

$123K - $150K/yr

We are looking for a talented Data Architect to join our team specializing in Systems/Information Technology for Cummins, Inc. as part of DBU Data & Analytics, Remote. In this role, you will make an ...

Develops and analyzes data related to complex actuarial functions * Evaluates analytical work done ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

Do you enjoy data analytics ? Then read on! We are currently seeking a data insights analyst who ... We recognize the benefits of flexible, remote working arrangements for eligible roles and are ...

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Remote Quantitative Data Analyst information

What are some typical challenges faced by Remote Quantitative Data Analysts, and how can they be addressed?

Remote Quantitative Data Analysts often encounter challenges such as aligning with distributed teams across different time zones and maintaining clear communication about project goals and data findings. To address these, it's important to leverage collaboration tools, establish regular check-ins, and document analysis steps thoroughly. Additionally, managing large data sets remotely requires reliable access to secure data storage and processing platforms. Building strong relationships with team members and staying proactive in communication can help ensure smooth workflow and minimize misunderstandings.

What is a Remote Quantitative Data Analyst?

A Remote Quantitative Data Analyst is a professional who works from a location outside of a traditional office to collect, analyze, and interpret numerical data in order to help organizations make informed decisions. They use statistical techniques, mathematical models, and data visualization tools to identify trends, patterns, and insights from large datasets. Working remotely, they often collaborate with team members and stakeholders through digital communication platforms. Their work is crucial in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are essential. Remote Quantitative Data Analysts must possess strong analytical skills, proficiency in statistical software, and the ability to communicate complex data findings clearly.

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

To thrive as a Remote Quantitative Data Analyst, you need strong statistical analysis, data interpretation, and problem-solving skills, usually supported by a degree in mathematics, statistics, economics, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms like Tableau, along with experience using statistical modeling systems, is critical. Strong attention to detail, self-motivation, and effective communication are essential soft skills for collaborating remotely and presenting insights clearly. These abilities enable accurate data-driven decision-making, foster remote teamwork, and ensure the delivery of valuable analytical insights.

What is the difference between Remote Quantitative Data Analyst vs Remote Data Scientist?

AspectRemote Quantitative Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Statistics, Mathematics, or related field; often certifications in data analysis toolsBachelor's or higher in Computer Science, Statistics, or related; often advanced certifications or degrees
Work EnvironmentPrimarily in data analysis teams within finance, marketing, or healthcare sectorsInvolves data modeling, machine learning, and software development in tech or research firms
Employer & Industry UsageUsed across finance, healthcare, marketing, and consulting firmsCommon in tech, research institutions, and large corporations

While both roles involve working with data, Remote Quantitative Data Analysts focus on analyzing and interpreting data sets to inform decisions, whereas Remote Data Scientists develop models and algorithms to extract insights, often requiring more advanced programming and machine learning skills.

What are the most commonly searched types of Quantitative Data Analyst jobs in Indiana? The most popular types of Quantitative Data Analyst jobs in Indiana are:
What are popular job titles related to Remote Quantitative Data Analyst jobs in Indiana? For Remote Quantitative Data Analyst jobs in Indiana, the most frequently searched job titles are:
Infographic showing various Remote Quantitative Data Analyst job openings in Indiana as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 83% Full Time, 10% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.
Data Analyst / Business Intelligence (BI) Support Specialist - Temporary - Hybrid Remote

Data Analyst / Business Intelligence (BI) Support Specialist - Temporary - Hybrid Remote

Hoosier Energy

Bloomington, IN โ€ข On-site, Remote

Full-time

Re-posted 7 days ago


Job description

Position Overview
The Data Analyst / Business Intelligence (BI) Support Specialist - Temporary is responsible for the design, development, implementation, and support of enterprise Business Intelligence (BI) solutions. This position ensures data integrity, security, and performance across BI platforms and provides application support to business units.
Essential Duties and Responsibilities
  • Develop and maintain BI solutions utilizing Microsoft Fabric, Power BI, and Azure Data Services.
  • Design and implement data models, ETL/ELT pipelines, and visualization dashboards.
  • Build and optimize Power BI reports, dashboards, and paginated reports.
  • Manage Azure Synapse, Data Factory, Data Lake, and Fabric Data Warehouse for data processing and transformation.
  • Write and optimize T-SQL queries, stored procedures, and indexing in SQL Server (2019+).
  • Provide Level 2/3 support for custom SQL-driven applications, including troubleshooting and user support.
  • Maintain the Alation data catalog, ensuring metadata accuracy and compliance with governance standards.
  • Ensure data governance, security, and compliance, including role-based access control (RBAC) and row-level security (RLS).
  • Collaborate with business stakeholders, developers, and analysts to translate requirements into BI solutions.
  • Monitor BI system performance and implement improvements for reliability and availability.
  • Work with IT Applications and IT Infrastructure teams to implement CI/CD pipelines for BI deployments.
  • Mentor BI team members and promote best practices in analytics development.

Minimum Qualifications
  • Bachelor's degree in Computer Science, Information Systems, or related field, or equivalent experience.
  • Minimum of 3 years' experience in Business Intelligence, Data Analytics, or Data Warehousing.
  • Experience with Microsoft Fabric, Power BI, and Azure Data Services (Data Factory, Synapse, Data Lake, Dataverse).
  • Advanced proficiency in SQL Server (T-SQL, query optimization, indexing).
  • Proficiency in DAX, Power Query (M language), and Power BI development.
  • Experience with data modeling techniques (Star Schema, Snowflake) and performance optimization.
  • Experience designing and implementing ETL/ELT pipelines for structured and unstructured data.
  • Familiarity with RBAC, RLS, and compliance best practices.
  • Strong analytical, problem-solving, and communication skills.

Preferred Qualifications
  • Experience with Azure SQL, DevOps for BI deployments, or Python for data preparation.
  • Familiarity with ITIL and/or ITSM ticketing systems.
  • Ability to present insights to non-technical audiences.

Working Conditions
  • Office environment, Bloomington, IN.
  • Occasional travel may be required.
  • Standard work hours with flexibility for project deadlines.

This full time position is temporary; however, it is expected to potentially have a duration of indefinite. The incumbent will be employed through Express Employment.
Hoosier Energy is an Equal Opportunity Employer and prohibits discrimination on the basis of race, color, religion, national origin, sex (including pregnancy and gender identity), sexual orientation, age, ancestry, genetic information, disability, veteran status or any other characteristic protected by federal, state or local laws.
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.