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Full Time Python Data Analysis Jobs in Detroit, MI

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Python-Driven Data Analytics: Leverage Python data libraries (pandas, NumPy, SciPy) to clean raw spatial coordinates, parse geometric output files, handle missing/anomalous measurements, and compute ...

SAS, R, Python, Data visualization, Data curation/transformation, Spatial epidemiologic analysis, Geocoding and GIS mapping, epidemiological research-based computational modeling and simulation ...

This is a full-time, office-based position in a modern, cozy environment in our Troy, MI office ... Escrow analysis, Loss mitigation, Default servicing, Investor reporting • Familiarity with Python ...

Strong experience with data analysis tools, including Tableau, PowerBI, and Alteryx * Familiarity with the following technologies is beneficial: Python, SQL, SAP, and Business Objects #LI-ES1 What ...

... analysis, reporting, and visualization support to the Statistics & Data Science team across post ... Strong programming skills in R or Python, with experience in both. Advantageous to be familiar with ...

Data Architect Specialist

Dearborn, MI

$58.50 - $75.25/hr

Master's degree in Business, Data Science, Analytics, or a related field. * Experience with cloud platforms such as Amazon Web Services, Microsoft, or Google. * Familiarity with SQL, Python, data ...

Master's degree in Business, Data Science, Analytics, or a related field. * Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud. * Familiarity with SQL, Python, data ...

DevOps Senior Specialist

Dearborn, MI · On-site

$119K - $153K/yr

Data Analysis - 5+ Years * Data Collection - 5+ Years * Python - 3+ Years * React - 3+ Years * JavaScript - 3+ Years Experience Required: * Senior Specialist Exp: 7+ experience in relevant field.

Data Scientist

Dearborn, MI · On-site +1

$107K - $182K/yr

... Python for data analysis, scripting, and software development tasks. 2. Utilizing SQL for querying, managing, and optimizing relational databases. 3. Applying mathematical optimization techniques to ...

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Full Time Python Data Analysis information

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

As of Jun 20, 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 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 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 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 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 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 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:

Metrology Data Engineer, CNC or Similar machining-tooling systems Data

Very Stable, U.S. based manufacturing company with customers in various industries.

Troy, MI • On-site

$110K - $145K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

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


Job description

We are seeking a Senior Metrology Data Engineer to lead the data access and analysis of the metrics surrounding raw vs. end materials after tooling. In this role, you will bridge the gap between high-precision dimensional inspection hardware (CMMs, 3D laser scanners) and data.

You will not just extract dimensional data—you will design, build, and optimize automated ETL pipelines to ingest, clean, and model spatial and geometric datasets. By combining a deep understanding of GD&T (Geometric Dimensioning and Tolerancing) by using Python or other modern data tools, you will transform raw coordinate datasets into real-time, factory-wide Statistical Process Control (SPC) insights and predictive quality analytics.

Core Duties & Responsibilities

  • Build & Maintain Metrology ETL Pipelines: Design and deploy automated data extraction, transformation, and loading (ETL) pipelines to ingest raw, unstructured, and semi-structured outputs (DMO, CSV, XML, JSON) from CMMs and 3D scanners into centralized databases or data lakes.

  • Python-Driven Data Analytics: Leverage Python data libraries (pandas, NumPy, SciPy) to clean raw spatial coordinates, parse geometric output files, handle missing/anomalous measurements, and compute complex custom statistical metrics.

  • Automate Statistical Process Control (SPC): Develop scripts to automatically monitor tolling wear and geometric drift by continuously calculating and updating process capability metrics ($C_p$ and $C_{pk}$) across high-volume production lines.

  • CMM/Scanner Data Integration: Partner with Machine R&D Engineering to standardize output schemas and implement Model-Based Definition (MBD) protocols, ensuring physical measurements perfectly align with digital 3D CAD dimensions via automated workflows.

  • Database Management & Data Modeling: Schema design and management of SQL/NoSQL databases dedicated to quality metrics. Optimize queries to handle high-frequency time-series measurement data coming from multiple production lines.

  • Data Integrity & MSA Automation: Program automated scripts to process Gauge R&R data and generate automated Measurement System Analysis (MSA) reports, ensuring the validity and repeatability of factory sensor data.

Desired Skills/Experience:

  • Education: Bachelor’s degree in Data Engineering, Computer Science, Mechanical/Manufacturing Engineering with a strong programming focus, or equivalent technical experience.

  • Experience: 5+ years of experience in data engineering or quality analytics, with a distinct focus on processing industrial, manufacturing, or spatial/dimensional data.

  • The Python Data Stack: Expert proficiency in Python, specifically for data manipulation and analysis (pandas, NumPy) and data engineering/ETL workflows. Experience with workflow orchestration tools (e.g., Airflow, Prefect) is a major plus.

  • SQL & Database Expertise: Strong proficiency in writing advanced SQL queries, designing database schemas, and managing relational databases (PostgreSQL, MS SQL Server) or time-series databases.

  • Metrology & GD&T Literacy: Solid fundamental understanding of Geometric Dimensioning and Tolerancing (GD&T) principles (ASME Y14.5) and familiarity with metrology software file architectures (e.g., PC-DMIS, Zeiss Calypso, PolyWorks).

  • CI/CD & Version Control: Experience using Git and version control best practices to maintain quality-data infrastructure and script deployments.

Very Competitive Compensation and Benefits (Relocation Assistance is offered), Call or Apply Today!

Company Description

Very Stable, U.S. based manufacturing company with customers in various industries.