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Freelance Python Data Analysis Jobs in Michigan (NOW HIRING)

Working knowledge of Python and/or R for data analysis and statistical modeling. Preferred Qualifications * Experience working with large-scale datasets using technologies such as Apache Spark.

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 ...

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 ...

... analysis results and model insights into clear, business-oriented solutions. • Proficiency in at least one major programming language used in data science (e.g., Python, R). Skills Preferred: • ...

Escrow analysis, Loss mitigation, Default servicing, Investor reporting • Familiarity with Python ... Data visualization • ETL/data validation • Reporting automation What We Offer | Career and ...

Senior Data Product Manager

Dearborn, MI · On-site

$116K - $153K/yr

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 ...

Data Engineer

Southfield, MI · On-site

$114K/yr

... analyzing resulting data and delivering reports and dashboards demonstrating compliance with internal and external requirements; utilize and apply knowledge of Python, SQL, Shell scripting, MATLAB, C ...

DevOps Senior Specialist

Dearborn, MI

$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.

Role: Data Analyst Location: Warren, MI (Hybrid) Duration: Long tern Rate: Market Key ... Databricks, Python (Scripting), Jupyter, Spark, Hue * Oracle PL/SQL, Oracle DBMS, Hadoop DBMS

Use Python and common machine learning frameworks (e.g., PyTorch, TensorFlow, or scikit-learn) to ... Data analysis and excel skills are a plus * Majors in computer science, data analysis, or related ...

Use Python and common machine learning frameworks (e.g., PyTorch, TensorFlow, or scikit-learn) to ... analysis and excel skills are a plus Majors in computer science, data analysis, or related firld ...

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 ...

Data Scientist

Dearborn, MI · On-site

$66K - $186K/yr

... Python or R for data analysis and model development. 2. Communicating complex statistical and technical topics and data-driven insights effectively to non-technical users. Education and/or experience ...

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Freelance Python Data Analysis information

What is freelance Python data analysis?

Freelance Python data analysis involves using the Python programming language to analyze and interpret data for clients on a project or contract basis. Freelancers in this field typically work with datasets to extract insights, visualize results, and help businesses make data-driven decisions. They often use libraries such as pandas, NumPy, and matplotlib, and may work across industries like finance, marketing, healthcare, and technology. Freelancers enjoy flexibility in choosing their projects and clients, and often work remotely.

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

To thrive as a Freelance Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often backed by a relevant degree or proven portfolio. Experience with tools such as Pandas, NumPy, Jupyter Notebooks, and data visualization libraries like Matplotlib or Seaborn is typically required. Excellent problem-solving abilities, communication skills, and the ability to manage projects independently distinguish top performers in this role. These skills enable analysts to deliver actionable insights, meet client expectations, and maintain a successful freelance business.

What are some common challenges freelance Python data analysts face when working with clients remotely?

Freelance Python data analysts often encounter challenges such as clarifying project requirements, managing client expectations about deliverables, and ensuring timely communication across different time zones. Working remotely can also mean troubleshooting data access or security issues, especially if clients have strict data privacy policies. Building trust through regular updates and transparent reporting is key to successful collaborations in this role.
What are the most commonly searched types of Python Data Analysis jobs in Michigan? The most popular types of Python Data Analysis jobs in Michigan are:
What are popular job titles related to Freelance Python Data Analysis jobs in Michigan? For Freelance Python Data Analysis jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Freelance Python Data Analysis jobs in Michigan look for? The top searched job categories for Freelance Python Data Analysis jobs in Michigan are:
What cities in Michigan are hiring for Freelance Python Data Analysis jobs? Cities in Michigan with the most Freelance Python Data Analysis job openings:

Full-time

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


Job description


The IT Data Analyst is responsible for transforming complex data into meaningful insights that support strategic business decisions. This role partners with both technical teams and business leaders to analyze historical and operational data, develop reporting solutions, and contribute to predictive and prescriptive analytics initiatives. The ideal candidate combines strong technical expertise with business acumen to identify opportunities for improved performance, efficiency, and profitability.
Key Responsibilities
  • Collect, integrate, and prepare data from multiple internal systems and external sources for reporting, analysis, and modeling.
  • Analyze large datasets to identify trends, patterns, risks, and opportunities that drive informed business decisions.
  • Design, develop, and maintain reports, dashboards, and visualizations that provide actionable performance insights.
  • Collaborate with business stakeholders to understand analytical requirements and deliver data-driven recommendations.
  • Support the development, testing, and maintenance of predictive and prescriptive analytical models.
  • Ensure data quality, consistency, and accuracy across reporting and analytical processes.
  • Communicate analytical findings effectively to both technical and non-technical audiences.

Requirements
  • Bachelor's degree in a quantitative discipline such as Computer Science, Statistics, Mathematics, Economics, Industrial Engineering, Operations Research, or a related field. Advanced degrees are a plus.
  • Strong proficiency in SQL for querying and manipulating relational databases.
  • Experience with business intelligence and data visualization platforms such as Tableau, Power BI, Amazon QuickSight, Sisense, or similar tools.
  • Working knowledge of Python and/or R for data analysis and statistical modeling.
Preferred Qualifications
  • Experience working with large-scale datasets using technologies such as Apache Spark.
  • Experience developing, validating, and deploying predictive analytics or machine learning models.
  • Demonstrated ability to move analytical solutions from proof-of-concept through production implementation.
  • Understanding of both classical (Frequentist) and Bayesian statistical methodologies.
  • Experience with time series analysis and forecasting techniques.
  • Familiarity with optimization methods, linear programming concepts, and tools such as CPLEX, Gurobi, or comparable optimization software