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Remote Data Quality Analyst Jobs in Michigan (NOW HIRING)

Palantir, Data Engineer

Detroit, MI · Remote

$113K - $135K/yr

A healthcare company based in the Midwest is looking to hire a remote Data Engineer with some ... Ideal candidate will have: * 1+ years in stakeholder-facing Data Engineering/Data Analytics ...

Palantir, Data Engineer

Detroit, MI · Remote

$113K - $135K/yr

A healthcare company based in the Midwest is looking to hire a remote Data Engineer with some ... Ideal candidate will have: * 1+ years in stakeholder-facing Data Engineering/Data Analytics ...

... ensure data quality and analytical integrity. * Designing and deploying lightweight internal ... Benefit Summary This role is remote but if you live within 50 miles within Dearborn, MI, you will ...

REMOTE Long Term contract Responsible for the planning, integration, test casing, scripting and ... Develop, document and maintain the test data, data validation, end to end testing flows.; Conducts ...

QA Analyst

Detroit, MI · On-site +1

REMOTE Long Term contract Responsible for the planning, integration, test casing, scripting and ... Develop, document and maintain the test data, data validation, end to end testing flows.; Conducts ...

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Remote Data Quality Analyst information

See Michigan salary details

$13

$35

$60

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

As of Jun 27, 2026, the average hourly pay for remote data quality analyst in Michigan is $35.12, according to ZipRecruiter salary data. Most workers in this role earn between $25.34 and $42.60 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 Michigan? The most popular types of Data Quality Analyst jobs in Michigan are:
What job categories do people searching Remote Data Quality Analyst jobs in Michigan look for? The top searched job categories for Remote Data Quality Analyst jobs in Michigan are:
What cities in Michigan are hiring for Remote Data Quality Analyst jobs? Cities in Michigan with the most Remote Data Quality Analyst job openings:
Infographic showing various Remote Data Quality Analyst job openings in Michigan as of June 2026, with employment types broken down into 2% As Needed, 77% Full Time, 2% Part Time, 2% Temporary, 15% Contract, and 2% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $73,048 per year, or $35.1 per hour.
Palantir, Data Engineer

Palantir, Data Engineer

Strategic Employment

Detroit, MI • Remote

$113K - $135K/yr

Other

Posted 23 days ago


Job description

A healthcare company based in the Midwest is looking to hire a remote Data Engineer with some monthly regional travel. They are midway through a Palantir Foundry implementation, and are looking for someone to work closely with stakeholders on low code data engineering solutions.

Technical experience with Foundry, Databricks, Snowflake is preferred, but not required. A background in stakeholder/client-facing roles, and the ability to solve problems is more important.

This is a full-time, direct hire role.

Ideal candidate will have:

  • 1+ years in stakeholder-facing Data Engineering/Data Analytics position
  • Consulting experience
  • Databricks, Foundry, or Snowflake
  • Python, PySpark, TypeScript

Location: HQ in Michigan, occasional travel required


Strategic Employment Partners logo

About Strategic Employment Partners

Sourced by ZipRecruiter

Strategic Employment Partners (SEP) was founded in 2007, serving companies in the Greater Los Angeles area by providing Technology Recruiting and Placement Services. With the combined experience of our seasoned professionals, SEP quickly began to build strong partnerships and provide curated talent for some of the largest and fastest growing companies in Los Angeles. Since then, SEP has expanded its operations and currently has eight divisions nationwide.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Los Angeles, CA, US

Year founded

2006

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