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Remote Data Analysis Jobs in Detroit, MI (NOW HIRING)

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 ...

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

Senior Data Analyst

Detroit, MI · Remote

$96K - $132K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. * 5+ years of experience in data science, with a strong background in statistical analysis, machine ...

Senior Data Analyst

Detroit, MI · On-site +1

$96K - $132K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. * 5+ years of experience in data science, with a strong background in statistical analysis, machine ...

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Remote Data Analysis information

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

To thrive as a Remote Data Analyst, you need strong analytical skills, statistical knowledge, and a background in fields like mathematics, statistics, or computer science. Proficiency with data analysis tools such as SQL, Python, R, and visualization platforms like Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management help remote analysts present insights clearly and stay productive without direct supervision. These skills and qualities ensure accurate data-driven decisions and effective remote collaboration with stakeholders.

What is the difference between Remote Data Analysis vs Remote Data Entry?

AspectRemote Data AnalysisRemote Data Entry
Required SkillsData interpretation, statistical tools, analytical skillsTyping speed, accuracy, basic computer skills
Tools UsedExcel, SQL, data visualization softwareSpreadsheets, data entry platforms
Work EnvironmentAnalytical tasks, report creation, data insightsData input, database updating, record management
Common CertificationsData analysis certifications, Excel proficiencyNone typically required

Remote Data Analysis involves interpreting data, creating reports, and providing insights using analytical tools, while Remote Data Entry focuses on inputting and managing data accurately. Both roles are performed remotely and require computer skills, but Data Analysis demands analytical expertise and familiarity with data tools, whereas Data Entry emphasizes speed and accuracy in data input tasks.

What is remote data analysis?

Remote data analysis refers to the process of examining, interpreting, and drawing insights from data using digital tools, while working from a location outside of a traditional office setting. Professionals in this field utilize statistical software, databases, and visualization tools to analyze large datasets and help organizations make informed decisions. Remote data analysts often collaborate with team members and stakeholders virtually, ensuring that data-driven strategies are implemented effectively. This role requires strong analytical skills, attention to detail, and the ability to communicate findings clearly.

How do remote data analysts typically collaborate with team members and stakeholders?

Remote data analysts often use a combination of communication and project management tools—such as Slack, Microsoft Teams, and Zoom—to stay connected with colleagues and stakeholders. Regular virtual meetings, shared dashboards, and collaborative platforms enable them to discuss findings, gather requirements, and provide updates on ongoing projects. Clear documentation and proactive communication are essential to ensure alignment, especially when working across different time zones or departments. Building strong relationships with team members virtually can help streamline workflows and facilitate effective decision-making.
What are the most commonly searched types of Data Analysis jobs in Detroit, MI? The most popular types of Data Analysis jobs in Detroit, MI are:
What are popular job titles related to Remote Data Analysis jobs in Detroit, MI? For Remote Data Analysis jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Remote Data Analysis jobs in Detroit, MI look for? The top searched job categories for Remote Data Analysis jobs in Detroit, MI are:
What cities near Detroit, MI are hiring for Remote Data Analysis jobs? Cities near Detroit, MI with the most Remote Data Analysis job openings:
Infographic showing various Remote Data Analysis job openings in Detroit, MI as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Prov Net Ops Data Analyst Sr

Amerihealth Caritas

Southfield, MI • Remote

$78K - $99K/yr

Full-time

Posted 2 days ago

New


AmeriHealth Caritas rating

8.3

Company rating: 8.3 out of 10

Based on 73 frontline employees who took The Breakroom Quiz

127th of 304 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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