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Remote Data Quality Analyst Jobs in Indiana (NOW HIRING)

CSAA

Beyond delivering high-impact analytics, this person will help strengthen CSAA's internal ... Coach and mentor junior consultants and review modeling work for quality and rigor. * Support ...

New

Onebridge

Snowflake Architect

Indianapolis, IN · On-site +1

$61 - $78.50/hr

Contribute to data strategy and roadmap development, aligning technical architecture with business goals and analytics needs. * Define and enforce data governance, security, and data quality ...

Circle

Experience analyzing large transactional data sets, proficiency in SQL preferred. * Exceptional ... Remote

Circle

Experience analyzing large transactional data sets, proficiency in SQL preferred. * Exceptional ... Remote

Circle

Experience analyzing large transactional data sets, proficiency in SQL preferred. * Exceptional ... Remote

Circle

Experience analyzing large transactional data sets, proficiency in SQL preferred. * Exceptional ... Remote

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Remote Data Quality Analyst information

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How much do remote data quality analyst jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for remote data quality analyst in Indiana is $37.19, according to ZipRecruiter salary data. Most workers in this role earn between $26.83 and $45.10 per hour, depending on experience, location, and employer.

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

To thrive as a Remote Data Quality Analyst, you need strong analytical skills, attention to detail, and a background in statistics or computer science, often supported by a bachelor's degree. Familiarity with data management systems, SQL, data visualization tools, and relevant certifications like CDMP or Six Sigma is common. Excellent communication, problem-solving abilities, and self-motivation are standout soft skills for collaborating remotely and ensuring data integrity. These skills and qualities are vital to ensure accurate data analysis, support business decision-making, and maintain high data quality standards in a distributed work environment.

What is a Remote Data Quality Analyst?

A Remote Data Quality Analyst is a professional who works from a remote location to ensure the accuracy, consistency, and reliability of data within an organization. They are responsible for identifying data errors, analyzing data quality issues, and recommending improvements to data management processes. Their work supports business decision-making by ensuring that high-quality data is available for analysis. Remote Data Quality Analysts typically use various tools and software to monitor, validate, and report on data quality from a distance. This role often requires strong analytical skills, attention to detail, and proficiency with data management technologies.

What is the difference between Remote Data Quality Analyst vs Remote Data Analyst?

AspectRemote Data Quality AnalystRemote Data Analyst
CredentialsTypically requires data quality certifications, SQL, and data management skillsOften requires data analysis certifications, SQL, and statistical knowledge
Work EnvironmentFocuses on data accuracy, validation, and quality control in a remote settingInvolves analyzing datasets, generating reports, and providing insights remotely
Industry UsageCommon in data management, healthcare, finance, and tech companiesWidely used across marketing, finance, tech, and research sectors

The main difference is that a Remote Data Quality Analyst concentrates on ensuring data accuracy and integrity, while a Remote Data Analyst focuses on interpreting data and generating insights. Both roles often require similar technical skills but serve different functions within data teams.

What are some common challenges faced by Remote Data Quality Analysts and how can they be addressed?

Remote Data Quality Analysts often face challenges such as ensuring consistent communication with team members, maintaining data accuracy across disparate systems, and staying updated on evolving data standards. To address these, it's important to establish clear communication channels, use collaborative tools for real-time data validation, and participate in regular training or knowledge-sharing sessions. Building strong relationships with stakeholders and proactively seeking feedback can also enhance data quality and streamline problem-solving in a remote setting.
What are the most commonly searched types of Data Quality Analyst jobs in Indiana? The most popular types of Data Quality Analyst jobs in Indiana are:
What are popular job titles related to Remote Data Quality Analyst jobs in Indiana? For Remote Data Quality Analyst jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Remote Data Quality Analyst jobs in Indiana look for? The top searched job categories for Remote Data Quality Analyst jobs in Indiana are:
What cities in Indiana are hiring for Remote Data Quality Analyst jobs? Cities in Indiana with the most Remote Data Quality Analyst job openings:
Remote Data Quality Analyst jobs near you
Infographic showing various Remote Data Quality Analyst job openings in Indiana as of July 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 100% Remote job distribution, with an average salary of $77,355 per year, or $37.2 per hour.

Senior Data Science Consultant, Insurance - Remote

CSAA

Remote

Full-time

Retirement

Posted yesterday

New

Job description

External candidates: In order for your application to be correctly processed please sign-in before you apply

Internal candidates: Please go to Workday and click "Find Jobs" link under Career

Thank you for considering opportunities with us!

Job Title

Senior Data Science Consultant, Insurance - Remote

Requisition Number

R7828 Senior Data Science Consultant, Insurance - Remote (Open)

Location

Arizona - Home Teleworkers

Additional Locations

Alabama - Home Teleworkers, Alabama - Home Teleworkers, Arkansas - Home Teleworkers, California - Home Teleworkers, Colorado - Home Teleworkers, Connecticut - Home Teleworkers, Delaware - Home Teleworker, District of Columbia - Home Teleworkers, Florida - Home Teleworkers, Georgia - Home Teleworkers, Idaho - Home Teleworkers, Illinois - Home Teleworkers, Indiana - Home Teleworkers, Iowa - Home Teleworkers, Kansas - Home Teleworker, Kentucky - Home Teleworkers, Louisiana - Home Teleworkers, Maine Home Teleworkers, Maryland - Home Teleworkers, Massachusetts - Home Teleworkers, Michigan - Home Teleworkers, Minnesota - Home Teleworkers, Mississippi - Home Teleworker, Missouri - Home Teleworker, Montana - Home Teleworkers {+ 21 more}

Job Information

CSAA Insurance Group (CSAA IG), a AAA insurer, is one of the leading personal lines property and casualty insurance groups in the United States. Here, every employee shapes our mission. We build innovative, human-centered solutions that help AAA members prevent, prepare for, and recover from life's uncertainties. You will join a collaborative, inclusive culture where your strengths have room to grow and your ideas can drive real impact. Step into a role where you can contribute to our shared success through meaningful work.

We are actively hiring for a Senior Data Science Consultant, Insurance - Remote

Your Role:

This Data Scientist role offers the opportunity to help CSAA Insurance Group anticipate and prepare for the future of the insurance industry. In this highly strategic position, you will build and apply advanced simulation models to explore emerging trends and their potential impact over the next decade. Your work will help leaders evaluate scenarios, test assumptions, and make informed decisions about how CSAA can adapt, grow, and continue serving members in a rapidly changing marketplace.

This role is ideal for a seasoned data science professional with deep expertise in modeling, simulation, AI, data analysis, and programming, along with the ability to translate complex findings into clear business recommendations. You will work closely with senior leaders and cross-functional teams to design simulation frameworks, interpret results, communicate assumptions and limitations, and influence decisions that may shape CSAA's long-term strategy. Beyond delivering high-impact analytics, this person will help strengthen CSAA's internal simulation capabilities by mentoring others and advancing the broader data science community.

Your Work:

  • Lead the design, development, and validation of simulation models (discrete-event, agent-based, system dynamics, or hybrid).

  • Translate business or operational problems into robust simulation frameworks.

  • Conduct scenario analysis, what-if studies, optimization, and risk analysis.

  • Interpret simulation results and large datasets, delivering actionable insights to executive and technical audiences to support decision-making.

  • Guide business users on model assumptions, limitations, and best practices.

  • Coach and mentor junior consultants and review modeling work for quality and rigor.

  • Support problem understanding and solution design, including proposals and executive presentations.

  • Partner closely with data governance, model governance, and regulatory compliance teams.

  • Key partner to the business, advising and making actionable recommendations with significant impact.

  • Play key roles cross-functionally with data, IT, governance, legal, and business.

  • Take a leading role in shaping the culture of data science community in CSAA.

Required Experience, Education and Skills:

  • Bachelor's degree in STEM or bachelor's degree with an equivalent combination of relevant education.

  • Requires 10 years related professional experience with transferrable skills.

  • Experience in developing data pipelines for simulations and data science models.

  • Experience with fostering the culture of data scientist community.

  • Master-level tool knowledge (e.g., SQL, Python, AWS, DataRobot, AnyLogic, and other simulation tools).

  • Deep knowledge in AI, data mining, data evaluation, and proficiency in compiling an effective and comprehensive modeling dataset.

  • Strong communication skills to explain model insights to technical partners, business partners, and corporate leaders.

  • Master-level data science industry knowledge and knowledge of the insurance marketplace.

What would make us excited about you?

  • Master's degree

  • CPCU, ACAS or FCAS

  • Extensive knowledge of various insurance operations: pricing, product, claims, marketing, and underwriting

  • History of thought leadership in modeling, including publishing, speaking at conferences, or contributing to industry collaborations.

  • Considered a leader in the field of modeling with a history of publishing articles and books, contributing to research and speaking at conferences and webinars.

  • Actively shapes our company culture (e.g., supporting employee resource groups, mentoring employees, volunteering, joining cross-functional projects).

  • Champions our cultural norms (e.g., willing to have cameras when it matters: helping onboard new team members, building relationships, etc.).

  • Demonstrates a company ownership mindset, thinking beyond boundaries of their own area.

  • Travels as needed for role, including divisional / team meetings and other in-person meetings.

  • Fulfills business needs, which may include investing extra time, helping other teams, etc.

Please note we are hiring for this role remote anywhere in the United States with the following exceptions: Hawaii and Alaska.

Why Choose a Career at CSAA IG?

At CSAA IG, we are a mission-driven organization proudly committed to empowering our members, our employees, and our communities to thrive.

Recognition: We offer a total compensation package, annual bonus eligibility for most roles, 401(k) with a company match, and so much more! Read more about what we offer and what it is like to be a part of our dynamic team at https://careers.csaainsurance.aaa.com/us/en/benefits.

Career Growth: We believe in growth for everyone. Here at CSAA IG, leaders and mentors partner with employees to align interests, unlock development opportunities, and support longterm success.

Flexible Workplace: We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex roles, working primarily from home, often with the flexibility to work from various locations including CSAA offices. Our flexible workplace empowers you to balance remote work with intentional inperson moments that deepen connection and collaboration.

Inclusion and Belonging: An inclusive and welcoming workplace is the cornerstone of our success. By fostering an environment where people feel valued and heard, we deepen our ability to understand and meet the unique needs of our members. This strengthens innovation and enhances our products and services, giving us a competitive edge in the market.

Sustainability: As climate change leads to more frequent and severe weather events, we are taking bold action to build more resilient communities and reduce our environmental impact. Submit your application to be considered. We communicate via email, so check your inbox and/or your spam folder to ensure you don't miss important updates from us.

CSAA is committed to providing reasonable accommodations to qualified applicants and employees with disabilities or other limitations. If you would like to request an accommodation to participate in the job application or interview process, please contact TalentAcquistion@csaa.com

If you apply and are selected to continue in the recruiting process, we will schedule a preliminary call with you to discuss the role and will disclose during that call the available salary/hourly rate range based on your location. Factors used to determine the actual salary offered may include location, experience, or education.

CSAA does not provide visa sponsorship for this role. Applicants must have authorization to work indefinitely in the US. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).

CSAA Insurance Group is an equal opportunity employer.

#LI-JH1

Knowledge, Skills and Abilities

Required:

  • Master-level tool knowledge (e.g., SQL, Python, R, AWS, DataRobot, other systems)

  • Depth knowledge data mining, data evaluation and proficiency in compiling an effective and comprehensive modeling dataset

  • Create innovative ways to mine and use data, including semi-structured or unstructured data

  • Master-level statistical, ML, GenAI and LLM modeling skills through development, deployment, monitoring

  • Key partner with data governance, model governance and regulatory compliance

  • Deep understanding of responsible AI principles for GenAI, including governance, compliance, legal, and ethical considerations; ability to influence internal policy around GenAI

  • Key partner to the business, advising and making actionable recommendations with significant impact

  • Play important role cross-functional with data, IT, governance, legal and business

  • Take a leading role in shaping the culture of data science community in CSAA

  • Master-level data science industry knowledge and knowledge of the insurance marketplace

  • Strong communication skills to explain model insights to technical partners, business partners and corporate leaders

  • Considered a leader in the field of modeling with a history of publishing articles and books, contributing to research and speaking at conferences and webinars

Education

Required

  • Bachelor's degree in STEM or Bachelor's degree with an equivalent combination of relevant education

Preferred:

  • Master's degree

  • CPCU, ACAS or FCAS

Experience

Required:

  • Requires 10 years related professional experience with transferrable skills

  • 7 years of post-bachelor experience developing statistical, ML, GenAI and LLM Models

  • Lead cross-functional MLOps projects in insurance or financial services

  • Experience with developing GenAI models with unstructured data

  • Experience with fostering the culture of data scientist community

Preferred

  • Extensive knowledge in various insurance operations: pricing, product, claims, marketing and underwriting

  • Experience shaping GenAI adoption across company

  • Track record of thought leadership in GenAI, including publishing, speaking at conferences, or contributing to industry collaborations

  • Familiarity with responsible AI frameworks and ability to influence internal processes and standards related to GenAI adoption

The national average salary range for this position is $160,155.00-$177,950.00. However, we have a location-based compensation structure. Our salary ranges vary and are calculated based on work location. The starting pay range for this position across all the states we hire in is $160,155.00-$213,550.00. This role also includes an opportunity for a company-wide annual discretionary bonus, through our Annual Incentive Plan (AIP), of up to 15% of eligible pay.This job posting will be unposted on Sat, 15 Aug 2026.

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