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Full Time Python Data Analysis Jobs in Detroit, MI

OneMagnify

Manager, Data Science

Detroit, MI · On-site

... skills in Python, R, or SAS for modeling and data analysis • Advanced SQL capabilities and experience working in cloud-based environments (e.g., Azure, AWS) • Expertise in regression ...

ArcelorMittal

Data Analytics Co-Op

Detroit, MI

Coding skills (knowledge of languages like Python, R, or SQL). * Develop reporting and charting templates to relay results. Qualifications: * Currently pursuing a bachelor's degree in data analytics ...

ArcelorMittal

Data Analytics Co-Op

Detroit, MI · On-site

Coding skills (knowledge of languages like Python, R, or SQL). * Develop reporting and charting templates to relay results. Qualifications: * Currently pursuing a bachelor's degree in data analytics ...

Denso

Data Scientist 2

Southfield, MI · On-site

$90K - $113K/yr

The Data Scientist will leverage our enterprise analytics ecosystem to develop, deploy, and ... SKILLS AND ABILITIES: * Proficiency in Python and SQL; experience with R or Java a plus.

Denso

Data Scientist 2

Southfield, MI

$90K - $113K/yr

The Data Scientist will leverage our enterprise analytics ecosystem to develop, deploy, and ... SKILLS AND ABILITIES: * Proficiency in Python and SQL; experience with R or Java a plus.

OneMagnify

Lead Data Scientist

Detroit, MI · On-site

Strong programming skills in Python, R, or SAS for modeling and data analysis * Advanced SQL capabilities and experience working in cloud-based environments (e.g., Azure, AWS) * Hands-on experience ...

Conclusive Marketing

Lead Data Scientist

Detroit, MI

Strong programming skills in Python, R, or SAS for modeling and data analysis * Advanced SQL capabilities and experience working in cloud-based environments (e.g., Azure, AWS) * Hands-on experience ...

Canopy

Senior Data Analyst

Detroit, MI · On-site +1

$96.90K - $132.30K/yr

... analysis, machine learning, and predictive modeling. * Proficiency in programming languages such as Python. * Strong expertise in SQL and experience working with large-scale databases and data ...

Canopy

Senior Data Analyst

Detroit, MI · Remote

$96.90K - $132.30K/yr

... analysis, machine learning, and predictive modeling. * Proficiency in programming languages such as Python. * Strong expertise in SQL and experience working with large-scale databases and data ...

Ford Motor Company

Platform Engineer

Dearborn, MI

$140.63K - $184.14K/yr

... data analytics platforms, including experience with SQL queries, Python data processing scripts, Apache Spark, Hadoop clusters, and automated data ingestion using Shell scripts and YAML ...

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Full Time Python Data Analysis information

See Detroit, MI salary details

$13

$58

$85

How much do full time python data analysis jobs pay per hour?

As of May 30, 2026, the average hourly pay for full time python data analysis in Detroit, MI is $58.03, according to ZipRecruiter salary data. Most workers in this role earn between $47.84 and $65.91 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Full Time Python Data Analyst, and why are they important?

To thrive as a Full Time Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics, typically supported by a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis libraries (such as pandas and NumPy), data visualization tools (like Matplotlib or Seaborn), and experience with SQL databases are commonly required. Attention to detail, problem-solving abilities, and effective communication skills distinguish top performers in this role. These skills and qualities are crucial for extracting actionable insights from data and effectively collaborating with stakeholders to inform business decisions.

What are some common challenges faced by Full Time Python Data Analysts and how can they be addressed?

Full Time Python Data Analysts often encounter challenges such as handling large, messy datasets and ensuring data accuracy. Navigating complex data sources or integrating data from multiple platforms can also be demanding. To address these challenges, analysts typically leverage robust Python libraries like pandas and NumPy for efficient data wrangling, and collaborate closely with data engineering teams to clarify requirements and resolve data discrepancies. Regular code reviews and adopting best practices in data validation help maintain data integrity and streamline analysis workflows.

What is a Full Time Python Data Analysis job?

A Full Time Python Data Analysis job involves using the Python programming language to collect, clean, analyze, and visualize data in order to help organizations make data-driven decisions. Professionals in this role work with large data sets, utilize libraries like pandas and NumPy, and often create reports or dashboards to communicate their findings. They may collaborate with other teams to identify trends, solve business problems, and provide actionable insights based on the data.

What is the difference between Full Time Python Data Analysis vs Data Scientist?

AspectFull Time Python Data AnalysisData Scientist
Required CredentialsBachelor's in Data Analysis, Statistics, or related field; Python skillsBachelor's or higher in Data Science, Computer Science, or related; Python, R, ML certifications
Work EnvironmentCorporate, finance, marketing, or tech companies; data-focused teamsResearch labs, tech firms, finance, or healthcare; data modeling and research
Employer & Industry UsageCommon in industries needing data reporting and insightsUsed for predictive modeling, machine learning, and advanced analytics

Full Time Python Data Analysts focus on interpreting data and generating reports using Python, while Data Scientists develop models and algorithms for predictive analytics. Both roles require Python skills, but Data Scientists typically have more advanced statistical and machine learning expertise. The roles often overlap, but Data Scientists tend to work on more complex modeling tasks, whereas Data Analysts focus on data interpretation and visualization.

What are the most commonly searched types of Python Data Analysis jobs in Detroit, MI? The most popular types of Python Data Analysis jobs in Detroit, MI are:
What are popular job titles related to Full Time Python Data Analysis jobs in Detroit, MI? For Full Time Python Data Analysis jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Full Time Python Data Analysis jobs in Detroit, MI look for? The top searched job categories for Full Time Python Data Analysis jobs in Detroit, MI are:
Full Time Python Data Analysis jobs near you
Infographic showing various Full Time Python Data Analysis job openings in Detroit, MI as of May 2026, with employment types broken down into 2% Locum Tenens, 6% As Needed, 45% Full Time, 22% Part Time, 22% Contract, and 3% Nights. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $120,709 per year, or $58 per hour.
Clinical Data Analyst

Clinical Data Analyst

Centria Autism

Farmington Hills, MI • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

The Clinical Data Analyst partners with clinical leadership, payor relations, and operations to translate clinical data into the evidence story that demonstrates Centria's value to payors and regulators. This role uses the Donabedian framework (structure, process, outcome) as the analytic spine for organizing, interpreting, and communicating Centria's clinical performance.
The Clinical Data Analyst builds and maintains the dashboards, payor reports, and analytic narratives that show how Centria's care delivery produces measurable outcomes. The role sits at the intersection of clinical quality, data analytics, and payor strategy.
Duties and Responsibilities
The below reflects the essential functions considered necessary for this role and shall not be construed as a detailed description of all work requirements inherent in the job or assigned by supervisory personnel. This job description is used as a guide only and not inclusive of all responsibilities and job duties.
  • Apply the Donabedian framework (structure, process, outcome) to organize Centria's clinical data into a coherent value narrative for internal leadership, payors, and regulators.
  • Build and maintain Power BI dashboards that translate clinical performance data into payor-facing evidence of quality, access, and outcomes.
  • Partner with payor relations and clinical leadership to develop outcomes reporting that supports value-based contracts, corrective action plans, rate negotiations, and managed care reviews.
  • Analyze clinical, utilization, and claims data to identify trends, risks, and opportunities that strengthen Centria's payor positioning.
  • Translate clinical and operational data into clear, defensible analytic narratives for executive, payor, and regulatory audiences.
  • Research industry standards in healthcare quality measurement, value-based care, HEDIS-style metrics, and outcomes frameworks. Benchmark Centria against the field.
  • Maintain the integrity and ongoing development of Centria's clinical data and quality measurement frameworks.
  • Construct concise presentations and reporting packages for payors, executive leadership, and external stakeholders.
  • Automate recurring analytic processes using Power BI, SQL, Excel, and related tooling to scale capacity.
  • Build relationships and collaborate across clinical, payor relations, finance, and operations teams to provide a high level of internal partnership.
  • Maintain a high level of confidentiality related to clinical data, payor agreements, employee performance, client data, and action plans.
  • Create and track KPIs relative to clinical quality and value demonstration initiatives.
  • Assist with ad hoc analysis requests, particularly those tied to payor inquiries, regulatory reporting, and executive decision support.
  • Compliance with Centria's Code of Conduct, policies and procedures, and Federal and State laws.
  • Responsibility to report violations of Company policies or the Code of Conduct.

Qualifications
Education/Certifications
  • Bachelor's degree required in Health Services Research, Health Policy, Public Health, Health Administration, Data Analytics, Statistics, Economics, or a related quantitative or healthcare field.
  • Master's degree preferred (MPH, MHA, MS in Health Services Research, Analytics, or related).

Work Experience
  • Minimum of 3 years of experience in healthcare analytics, payor analytics, managed care, or health services research.
  • Direct experience working with or for a payor (commercial, Medicaid, Medicaid managed care, or Medicare Advantage) strongly preferred.
  • Experience with value-based care, quality measurement, HEDIS, or similar healthcare quality frameworks.
  • Experience applying or working within the Donabedian framework, or comparable structure-process-outcome models, is highly preferred.
  • Experience with claims data, utilization data, and healthcare cost analytics preferred.
  • Experience producing payor-facing reporting, regulatory submissions, or value-based contract analytics is a plus.

Equipment and Technology Requirements
  • Advanced proficiency in Power BI for data visualization, dashboard development, and DAX.
  • Proficiency in SQL for data extraction, transformation, and analysis.
  • Advanced proficiency in Microsoft Excel, including pivot tables, complex formulas, and Power Query.
  • Proficiency in Microsoft Suite (Word, PowerPoint, Outlook) and G Suite (Gmail, Drive, Docs, Sheets, Meet).
  • Working knowledge of healthcare data structures (claims, EHR, clinical documentation systems).
  • Familiarity with statistical analysis tools (R, Python, or SAS) is a plus.
  • Working knowledge of laptop/desktop PC.

Knowledge and Skills
  • Demonstrated ability to translate complex clinical and analytic findings into clear narratives for non-technical audiences, particularly payors and executives.
  • Strong understanding of healthcare quality frameworks, value-based care, and outcomes measurement.
  • High degree of diplomacy in handling sensitive and confidential information.
  • Accuracy, attention to detail, ability to work independently, and proficient time management skills.
  • Considerable reporting and analysis experience, including report design and delivery, analytical and data mining activities.
  • Experience identifying and understanding issues, problems, and opportunities.
  • Strong written and verbal communication skills in English, with the ability to write defensible analytic narratives.
  • Proven adaptability with a willingness to work both collaboratively and individually to achieve desired business outcomes.
  • Ability to compare data from multiple sources, draw defensible conclusions, and recommend a course of action.

Working Conditions
  • Centria's office hours are Monday through Friday from 8:30 AM - 6:00 PM.
  • Additional time or occasional shift in schedule may be required to complete the above work or meet company objectives.

Physical Demands
While performing the duties of this job, physical requirements such as bending, reaching, lifting, pushing, or pulling up to 30 pounds may be required. This role will require sitting most of the day as well as walking and standing periodically. This role may require close visual acuity on computer screens or monitors and the ability to analyze data and figures on a screen.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, Veteran status, or disability status. This job description is not intended to be an exhaustive list of qualifications, skills, efforts, duties, responsibilities, or working conditions associated with the position. Centria reserves the right to amend this job description at any time, with or without written notice.

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