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Full Time Remote Data Analyst Jobs in Detroit, MI

Integrating heterogeneous enterprise datasets into structured, analysis-ready pipelines using ... Benefit Summary This role is remote but if you live within 50 miles within Dearborn, MI, you will ...

This remote role may require occasional travel to client sites located in Ohio, Pennsylvania ... Experience using Excel for data analysis, including vlookups, xlookups and pivot tables * Ability ...

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Full Time Remote Data Analyst information

See Detroit, MI salary details

$33.7K

$81.8K

$134.6K

How much do full time remote data analyst jobs pay per year?

As of Aug 19, 2026, the average yearly pay for full time remote data analyst in Detroit, MI is $81,811.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,900.00 and $96,000.00 per year, depending on experience, location, and employer.

What is a full time remote data analyst?

A Full Time Remote Data Analyst is a professional who works from a location outside the traditional office environment, usually from home, and is employed on a full-time basis. Their main responsibility is to collect, process, and analyze large sets of data to help organizations make informed decisions. They use statistical tools and software to interpret data trends, create reports, and present findings to stakeholders. Remote data analysts collaborate with teams via digital communication tools and may work with data from various industries, such as finance, healthcare, or technology. This role requires strong analytical skills, attention to detail, and proficiency with data analysis software.

What are the key skills and qualifications needed to thrive as a full time remote data analyst?

To thrive as a Full Time Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields such as mathematics, computer science, or economics. Experience with data visualization tools (e.g., Tableau, Power BI), programming languages (e.g., Python, R), and advanced Excel functions is typically required. Excellent communication, self-motivation, and time management are standout soft skills for remote collaboration and clear reporting. These abilities are crucial for delivering actionable insights, maintaining productivity, and ensuring data-driven decision-making in a remote work environment.

What are some common challenges faced by full time remote data analysts, and how can they be addressed?

One common challenge for full-time remote data analysts is maintaining clear communication and collaboration with team members who may be in different locations or time zones. To overcome this, it's important to proactively schedule regular check-ins, leverage collaborative tools (like Slack, Teams, or project management platforms), and document your work thoroughly for transparency. Additionally, remote analysts often need to manage their own time effectively and set boundaries to prevent burnout. Staying organized and maintaining a healthy work-life balance are essential for long-term success in this role.

What is the difference between Full Time Remote Data Analyst vs Full Time Remote Data Scientist?

AspectFull Time Remote Data AnalystFull Time Remote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or higher in Data Science, Computer Science, or related; often includes certifications in Python, R, or machine learning
Work EnvironmentRemote, collaborative with teams, using data analysis toolsRemote, often involves complex modeling, coding, and advanced analytics
Industry UsageBusiness, finance, marketing, healthcareTech, finance, research, AI development

Full Time Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Data Scientists develop predictive models and advanced algorithms. Both roles are remote and require analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

What are the most commonly searched types of Remote Data Analyst jobs in Detroit, MI?

The most popular types of Remote Data Analyst jobs in Detroit, MI are:

What cities near Detroit, MI are hiring for Full Time Remote Data Analyst jobs?

Cities near Detroit, MI with the most Full Time Remote Data Analyst job openings:

Prov Net Ops Data Analyst Sr

Amerihealth Caritas

Southfield, MI • Remote

$78K - $99K/yr

Full-time

Posted 11 days ago


AmeriHealth Caritas rating

8.3

Company rating: 8.3 out of 10

Based on 73 frontline employees who took The Breakroom Quiz

129th of 310 rated insurance


Job description

Role Overview: The Senior Provider Network Operations Senior Data Analyst serves as a subject matter expert and key support resource within Provider Network Operations. This role is responsible for training new hires, keeping the team informed and prepared as process or system changes occur, supporting analysts with complex questions, and ensuring accurate, compliant, and timely processing of provider data, rosters, and provider files.

Work Arrangement:

  • Remote - This position is fully remote for candidates residing in Michigan. Occasional travel for meetings, training, or business needs may be required.

Responsibilities:

  • Serve as a go-to subject matter expert for Provider Network Operations processes, including incoming provider data, provider enrollment file completion, and Facets updates.
  • Train new hires and provide ongoing education to analysts to ensure the team remains knowledgeable, consistent, and prepared as business requirements, systems, reporting needs, or processes change.
  • Process and oversee complex provider data files, large rosters, provider enrollments, and related updates while ensuring information is entered accurately and maintained appropriately in Facets and other applicable systems.
  • Monitor analyst workloads, review processing quality, audit analyst work, identify coaching opportunities, and provide guidance to support accuracy, productivity, and adherence to established procedures.
  • Develop new ideas and recommend process improvements that strengthen data quality, streamline enrollment and roster workflows, and improve team effectiveness.
  • Ensure provider data is accurate, complete, and compliant with internal standards, business rules, and reporting requirements; research and resolve discrepancies in a timely and thorough manner.
  • Maintain strong working relationships with provider groups, internal business partners, and cross-functional teams to support provider enrollment, data integrity, issue resolution, and operational needs.
  • User Acceptance Testing (UAT)/Client Review & audit (fee schedule concentration), reviews requests prior to initial submission to EO, and claims post-production
  • Capitation reconciliations, building queries, and comparing membership
  • Internal business report development; engagement with regulatory reporting
  • BAM/claim reporting submission and analysis, depending on complexity
  • Perform additional duties and special projects as assigned.

Education & Experience:

  • Bachelor's degree or equivalent combination of education and relevant work experience.
  • 3 to 5 years of experience in data analysis, healthcare operations, provider network operations, provider data operations, or a related field.
  • Experience with provider enrollment and changes.
  • Experience developing reports and analyzing complex datasets.
  • Managed care or healthcare experience preferred
  • Knowledge of Facets or similar healthcare administration platforms.

Skills & Abilities:

  • Strong analytical and problem-solving skills with the ability to identify trends, root causes, and actionable insights.
  • Proficiency in Microsoft Office Suite, particularly Excel, Word
  • Ability to prioritize and manage multiple competing priorities and projects simultaneously in a fast-paced environment.
  • Strong attention to detail and commitment to data accuracy.
  • Excellent organizational and communication skills.
  • Patience and professionalism when training new hires, coaching analysts, and supporting team members through process or system changes.
  • Flexible, adaptable, and willing to adjust to changing business needs, priorities, and deadlines.
  • Strong team player with a collaborative approach and willingness to support others to meet team and department goals.
  • Ability to work independently while effectively collaborating with cross-functional teams.
  • Experience supporting regulatory reporting and compliance initiatives preferred.
Employment Type: FULL_TIME

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