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Remote Data Analyst Python Jobs in Farmington Hills, MI

Ford Motor Company

Data Scientist

Dearborn, MI · Remote

Strong proficiency in Python for data analysis and modeling (e.g., pandas, NumPy, Pyomo or similar ... Benefit Summary This role is remote but if you live within 50 miles within Dearborn, MI, you will ...

Arbor Research

Cloud Data Architect

Ann Arbor, MI · On-site +1

$107K - $176K/yr

Collaborate with analysts, developers, and project managers to support analytic workloads in Python, R, and SQL, and data-driven decision making. * Enable secure, automated delivery of curated data ...

eShocan

P100824 Insights Analyst

Detroit, MI · On-site +1

CONTRACT INSIGHTS ANALYST, MARKETING - 6-MONTH CONTRACT This is a remote position. Work ... analyze data across multiple sources with speed and accuracy. Automate and Scale: Use Python to ...

Torc Robotics

Senior BI Analyst

Ann Arbor, MI · On-site +1

Answer complex business questions via ad-hoc SQL queries or Python notebooks to enable business owners to make critical decisions. What You'll Need to Succeed * Bachelor's degree in Data Analysis ...

Torc Robotics

Senior BI Analyst

Ann Arbor, MI · On-site +1

Answer complex business questions via ad-hoc SQL queries or Python notebooks to enable business owners to make critical decisions. What You'll Need to Succeed * Bachelor's degree in Data Analysis ...

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How much do remote data analyst python jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote data analyst python in Farmington Hills, MI is $81,318.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,500.00 and $95,400.00 per year, depending on experience, location, and employer.

What is a remote data analyst python?

A Remote Data Analyst Python is a data professional who works primarily from a remote location, using Python programming to collect, analyze, and interpret data. Their responsibilities include cleaning and processing data, creating data visualizations, and building models to support business decisions. They often collaborate with teams virtually and use Python libraries such as pandas, NumPy, and matplotlib to handle complex data tasks. This role is ideal for those who have strong analytical skills, proficiency in Python, and the ability to work independently in a remote environment.

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

To thrive as a Remote Data Analyst (Python), you need strong analytical skills, proficiency in Python programming, a solid grasp of statistics, and typically a degree in a quantitative field. Expertise with data analysis libraries (such as pandas and numpy), familiarity with data visualization tools (like matplotlib or Tableau), and experience with SQL databases are highly valued. Excellent problem-solving, communication skills, and self-motivation are crucial for collaborating remotely and delivering actionable insights. These skills enable you to efficiently interpret complex data, work independently, and provide valuable business recommendations from a remote setting.

How do remote data analyst python roles typically coordinate with other team members, given the virtual work environment?

Remote Data Analyst Python roles usually involve frequent collaboration with cross-functional teams such as product managers, data engineers, and business analysts through virtual platforms. Communication is commonly facilitated via video meetings, chat tools, and shared project management software to ensure alignment on data requirements and project goals. While working remotely requires strong self-motivation, most organizations support analysts with regular check-ins and clear documentation practices. This collaborative structure helps maintain productivity and ensures that data insights are effectively integrated into decision-making processes.

What is the difference between Remote Data Analyst Python vs Remote Data Analyst R?

AspectRemote Data Analyst PythonRemote Data Analyst R
Required SkillsPython, SQL, data visualization, statistical analysisR, SQL, data visualization, statistical analysis
Work EnvironmentRemote, tech companies, finance, healthcareRemote, research institutions, analytics firms
CertificationsData analysis, Python programming certificationsData analysis, R programming certifications
Common UsageData cleaning, automation, machine learningStatistical modeling, data visualization, reporting

Both roles involve data analysis in remote settings, with Python-focused roles emphasizing automation and machine learning, while R roles focus more on statistical modeling and visualization. The choice depends on the specific tools and tasks preferred by the employer or industry.

Is it possible to work remotely as a remote data analyst Python?

Yes, remote data analyst roles that require Python are widely available, especially as many companies adopt flexible work arrangements. These positions often involve skills in data analysis, programming, and tools like pandas and Jupyter Notebook, making remote work feasible with a reliable internet connection. Certifications and experience can enhance opportunities in remote data analysis jobs.

What remote jobs can you get with Python?

Remote data analyst roles that require Python involve analyzing large datasets, creating reports, and developing data models using tools like pandas and Jupyter Notebook. These positions often require strong programming skills, familiarity with SQL, and the ability to work independently in a virtual environment.

What are popular job titles related to Remote Data Analyst Python jobs in Farmington Hills, MI?

For Remote Data Analyst Python jobs in Farmington Hills, MI, the most frequently searched job titles are:

What job categories do people searching Remote Data Analyst Python jobs in Farmington Hills, MI look for?

The top searched job categories for Remote Data Analyst Python jobs in Farmington Hills, MI are:

What cities near Farmington Hills, MI are hiring for Remote Data Analyst Python jobs?

Cities near Farmington Hills, MI with the most Remote Data Analyst Python job openings:

Remote Data Analyst Python jobs near you

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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