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Remote Quantitative Data Analyst Jobs in Indiana

Cayenta

Troubleshoot application, data, architecture, and interface-related problems * Communicate ... Strong analytical skills with the ability to make sound, independent decisions * Self-motivated ...

FlexTG

Sales Operations Analyst

Indianapolis, IN · On-site +1

$60K - $80K/yr

Remote (U.S. only) or Hybrid within 40 miles of a FlexTG office Compensation: $60,000 - $80,000 ... We value collaboration, continuous improvement, and data-driven decision making. Position Summary ...

FlexTG

Sales Operations Analyst

Indianapolis, IN · On-site +1

Remote (U.S. only) or Hybrid within 40 miles of a FlexTG office Compensation: $60,000 - $80,000 ... We value collaboration, continuous improvement, and data-driven decision making. Position Summary ...

FlexTG

Sales Operations Analyst

Indianapolis, IN · On-site +1

$60K - $80K/yr

Remote (U.S. only) or Hybrid within 40 miles of a FlexTG office Compensation: $60,000 - $80,000 ... We value collaboration, continuous improvement, and data-driven decision making. Position Summary ...

Hoosier Energy

Billing Analyst - Hybrid Remote

Bloomington, IN · On-site +1

$42K - $56K/yr

Maintains system load data and billing information databases; performs analysis related to loading, billing, tariff/contract, costs, settlement procedures, information exchange and other areas as ...

CSAA

Lead qualitative and quantitative research, rapid prototyping, and lean experiments (POVs, MVPs ... Advanced analytical and problem-solving skills, including data-driven evaluation and development of ...

Circle

Lead KYC Analyst

Atlanta, IN · Remote

... data, conduct analysis, and synthesize insight. * A get things done mindset, able to think ... S. degree; quantitative or technical degree a plus * CAMS, CFCS or CFE certification is a plus.

Circle

Lead KYC Analyst

Florence, IN · Remote

... data, conduct analysis, and synthesize insight. * A get things done mindset, able to think ... S. degree; quantitative or technical degree a plus * CAMS, CFCS or CFE certification is a plus.

Circle

... data, conduct analysis, and synthesize insight. * A get things done mindset, able to think ... S. degree; quantitative or technical degree a plus * CAMS, CFCS or CFE certification is a plus.

Circle

Lead KYC Analyst

Nashville, IN · Remote

... data, conduct analysis, and synthesize insight. * A get things done mindset, able to think ... S. degree; quantitative or technical degree a plus * CAMS, CFCS or CFE certification is a plus.

Circle

Lead KYC Analyst

Boston, IN · Remote

... data, conduct analysis, and synthesize insight. * A get things done mindset, able to think ... S. degree; quantitative or technical degree a plus * CAMS, CFCS or CFE certification is a plus.

Circle

... data, conduct analysis, and synthesize insight. * A get things done mindset, able to think ... S. degree; quantitative or technical degree a plus * CAMS, CFCS or CFE certification is a plus.

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All JobsQuantitative Data Analyst JobsRemote Quantitative Data Analyst JobsRemote Quantitative Data Analyst Jobs in Indiana

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:
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:
Remote Quantitative Data Analyst jobs near you
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.
Engineering AI Evaluator (PhD)

Engineering AI Evaluator (PhD)

micro1 AI

Indianapolis, IN • Remote

$80 - $90/hr

Part-time

Posted 21 days ago

Job description

Role Title: PhD Engineer (Electrical, Mechanical, Chemical)


Role Type: Contractor


Location: Remote


micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to contribute to a high-impact customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Deliver authoritative written responses to complex engineering prompts in your area of expertise
  2. Review and interpret scientific literature to provide contextually accurate and current insights
  3. Design and document realistic experimental scenarios based on advanced engineering principles
  4. Analyze data and interpret results to inform AI training datasets with precision
  5. Apply sophisticated calculus and quantitative methodologies to problem-solving tasks
  6. Ensure clarity, accuracy, and completeness of all submitted materials based on provided guidelines
  7. Collaborate with project coordinators to refine prompt response quality as needed


Preferred Qualifications

  1. PhD in Electrical, Mechanical, or Chemical Engineering
  2. Demonstrated expertise in calculus, data analysis, research methodology, and experimental design
  3. Exceptional written and verbal communication skills with the ability to convey complex concepts clearly
  4. Strong literature review capabilities and familiarity with synthesizing scientific knowledge
  5. Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not required)
  6. Proven ability to produce "golden response" level deliverables with accuracy and completeness
  7. Detail-oriented mindset and commitment to high-quality, impactful contributions

Apply