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Remote Quantitative Data Analyst Jobs in Indiana

Mater Dei Catholic High School

Data Analyst

OR · On-site +1

Data Analyst remote (based in the US). Regarding ourselves: we wish to transform industries by using data's power. Every statistic tells a story, and we are looking for a Data Analyst who can find ...

PadSplit

$45K - $55K/yr

We're looking for a Senior Data Analyst to own analyses end to end, build durable reporting ... Fully remote position - we swear! * Competitive compensation package including an equity incentive ...

Ascension

Analyst-Data

Indianapolis, IN · Remote

$72K/yr

Remote (Preferred location Indiana) Department: Revenue Cycle Administration Schedule: Full-Time, Days Salary: $72,283.20 - $100,759.30 per year #LI-Remote #internalops Life at Ascension: Where ...

Ascension

Analyst-Data

Indianapolis, IN · On-site +1

$72K - $100K/yr

Remote (Preferred location Indiana) Department: Revenue Cycle Administration Schedule: Full-Time, Days Salary: $72,283.20 - $100,759.30 per year #LI-Remote #internalops How you'll make an impact in ...

OPENLANE

Revenue Management Analyst

Carmel, IN · On-site +1

$75K - $85K/yr

Bachelor's Degree in Mathematics, Economics, Computer Science, Information Management, Statistics or other Quantitative Degree (Finance, etc.) required * 2-5 years of experience as a data analyst ...

micro1 AI

AI Data Science Evaluator

Indianapolis, IN · Remote

$245 - $280/hr

Remote About the Role micro1 is partnering with a leading AI lab to hire data scientists and quantitative professionals from top companies. You'll bring rigor to how AI models handle statistics ...

NextBillion.ai

Product Designer (Remote)

Indiana, PA · Remote

To be successful in this role, you will need to work with other designers and cross-functional team members and make informed decisions based on both qualitative and quantitative data. Roles and ...

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Remote Quantitative Data Analyst information

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 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 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:

What job categories do people searching Remote Quantitative Data Analyst jobs in Indiana look for?

The top searched job categories for Remote Quantitative Data Analyst jobs in Indiana are:

What cities in Indiana are hiring for Remote Quantitative Data Analyst jobs?

Cities in Indiana with the most Remote Quantitative Data Analyst job openings:

Infographic showing various Remote Quantitative Data Analyst job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Analyst

OR • On-site, Remote

Mater Dei Catholic High School
51 - 200 employees
Learn more about Mater Dei Catholic High Schoolexternal

Full-time

Medical, Retirement

This job post has expired today. Applications are no longer accepted.

Job description

Position Open Only to Americans: Data Analyst

remote (based in the US).

Regarding ourselves: we wish to transform industries by using data's power. Every statistic tells a story, and we are looking for a Data Analyst who can find those tales, expose latent trends, and offer intelligent, fact-based recommendations to bolster our company decisions. We might be seeking for you if you are a data analyst with an analytical mind that enjoys a good challenge and loves to organize things.

Your duties:

Exensive data analysis helps one find trends, anomalies, and patterns that might be turned into insightful knowledge. Translating intricate data sets into practical insights will help you make important business decisions.

Design and present visually striking dashboards, reports, and presentations using data to tell gripping narratives. Let our group "see" the future with sensible, easily understood images.

Cooperation is absolutely necessary. Working with different departmentsmarketing, finance, operations, etc.you will learn their needs and then offer data-based insights that affect corporate performance.

By exposing trends that will show up in the future, predictive modeling can enable our teams to keep one step ahead of the competition.

Look at ways we may improve our analytical tools, data management systems, and policies. Simplify processes to guarantee correct and fast data.

Work directly with top leadership to handle challenging ad hoc analysis projects and address urgent business concerns as they develop utilizing data in real time.

Could you please clarify what we actually need?

Candidates have to be found in America.

Your analytical thinking drives you to enjoy challenging sets and adore solving problems. You see trends and patterns others would overlook rather clearly.

Relevant Work Experience: For at least two years, you should have been employed as a statistician, data analyst, or related field practitioner.

technically adept; conversant in Excel, R, Python, SQL, etc., data analytics tools. One perk is being able to employ visual aids as Looker, Power BI, or Tableau.

With the correct set of communication skills, mountains of unprocessed data can become actionable insights everyone on your teamincluding C-suite executivescan grasp.

Your insatiable questions push you to hunt "what's the story behind this data" and "how can I use this information to make a difference?"

Methodical: Before drawing any conclusions, you search for little discrepancies and verify all datasets for accuracy.

Our Reasons for Your Contentment in Hiring Our Team

Work from any US location and keep a good work-life balance.

Here you can develop professionally, have access to innovative tools, and refine your abilities in a motivating surroundings.

Help a vibrant, cooperative team that celebrates fresh ideas, many points of view, and teamwork succeed.

Leverage a generous pay and benefits package covering wellness, retirement, and healthcare.

Impact: Your effort directly determines the company's course of development. The strategic choices taken will be much influenced by you.

Techniques of Application: Are you ready to find the truth and propel transformation? The possible worth of your skills interests us and we would want further information about them. Together with a brief cover letter summarizing your experience using statistics to solve problems and why you would be a value to our team, kindly include your resume.

Attention: Only US candidates are qualified for this post.

Apply