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Hourly Data Visualization Jobs in Michigan (NOW HIRING)

... data Visualization tools: Power BI, Tableau Engineering data tools: SQL, SAS, Minitab, JMP, MS Excel, Six Sigma In depth knowledge of advanced analytics techniques. Strong verbal and written ...

Exposure to other data visualization tools (e.g., Tableau) preferred * Experience with Microsoft ... The hourly rate for this position is $15 per hour. Actual compensation will depend on a range of ...

Exposure to other data visualization tools (e.g., Tableau) preferred * Experience with Microsoft ... The hourly rate for this position is $15 per hour. Actual compensation will depend on a range of ...

Exposure to other data visualization tools (e.g., Tableau) preferred * Experience with Microsoft ... The hourly rate for this position is $15 per hour. Actual compensation will depend on a range of ...

Exposure to other data visualization tools (e.g., Tableau) preferred * Experience with Microsoft ... The hourly rate for this position is $15 per hour. Actual compensation will depend on a range of ...

Exposure to other data visualization tools (e.g., Tableau) preferred * Experience with Microsoft ... The hourly rate for this position is $15 per hour. Actual compensation will depend on a range of ...

Exposure to other data visualization tools (e.g., Tableau) preferred * Experience with Microsoft ... The hourly rate for this position is $15 per hour. Actual compensation will depend on a range of ...

Exposure to other data visualization tools (e.g., Tableau) preferred * Experience with Microsoft ... The hourly rate for this position is $15 per hour. Actual compensation will depend on a range of ...

Exposure to other data visualization tools (e.g., Tableau) preferred * Experience with Microsoft ... The hourly rate for this position is $15 per hour. Actual compensation will depend on a range of ...

Exposure to other data visualization tools (e.g., Tableau) preferred * Experience with Microsoft ... The hourly rate for this position is $15 per hour. Actual compensation will depend on a range of ...

Exposure to other data visualization tools (e.g., Tableau) preferred * Experience with Microsoft ... The hourly rate for this position is $15 per hour. Actual compensation will depend on a range of ...

Exposure to other data visualization tools (e.g., Tableau) preferred * Experience with Microsoft ... The hourly rate for this position is $15 per hour. Actual compensation will depend on a range of ...

Exposure to other data visualization tools (e.g., Tableau) preferred * Experience with Microsoft ... The hourly rate for this position is $15 per hour. Actual compensation will depend on a range of ...

Sr Business Data Analyst

Livonia, MI · On-site

$70K - $115K/yr

Full development of Power BI including data visualization and back-end data model design * Clean, model, and analyze data using SQL, DAX, and statistical techniques to uncover trends and drive ...

Full development of Power BI including data visualization and back-end data model design * Clean, model, and analyze data using SQL, DAX, and statistical techniques to uncover trends and drive ...

Advanced understanding of data visualization libraries * Advanced understanding of statistical methodologies for modeling and business analytics What you'll get Our team members fuel our strategy ...

Advanced understanding of data visualization libraries * Advanced understanding of statistical methodologies for modeling and business analytics What you'll get Our team members fuel our strategy ...

Educates leaders and crews on complex analytical findings in laymen terms and with storytelling/data visualization * Identifies and evaluates technologies and provides strategic inputs to advance the ...

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Showing results 1-20

Hourly Data Visualization information

What is the difference between Hourly Data Visualization vs Data Analyst?

AspectHourly Data VisualizationData Analyst
CredentialsTypically requires proficiency in visualization tools and basic data skillsRequires degrees in data, statistics, or related fields; often includes certifications
Work EnvironmentProject-based, freelance, or part-time roles often in consulting or agenciesFull-time or part-time roles within organizations, involving data analysis and reporting
Industry UsageUsed across industries for specific visualization tasksCommonly employed for comprehensive data analysis and decision-making

Hourly Data Visualization roles focus on creating visual representations of data on a flexible, often freelance basis, while Data Analysts perform broader data analysis tasks within organizations. Both roles require familiarity with data tools, but Data Analysts typically have more extensive credentials and responsibilities.

What are the most commonly searched types of Data Visualization jobs in Michigan? The most popular types of Data Visualization jobs in Michigan are:
Data Scientist - Commercial Analytics

Data Scientist - Commercial Analytics

Stellantis

Auburn Hills, MI • On-site

Full-time

Posted 25 days ago


Stellantis rating

7.4

Company rating: 7.4 out of 10

Based on 123 frontline employees who took The Breakroom Quiz

17th of 44 rated automakers


Job description

The Commercial Analytics team is looking for a Data Scientist to join our team. Your mission is to build and scale trusted data science products that power commercial performance measurement and growth while promoting data science best practices, actionable recommendations and a high bar for model quality and reliability.
Data scientists work closely with data engineers, analysts, and business teams to design analytics solutions, implement advanced algorithms and evaluate the performance of use cases. Ideal candidates are self-motivated, inquisitive and creative, with a strong desire to solve real-world problems using data.
In this role, you will:
  • Collaborate with business stakeholders to identify high-impact opportunities for statistical and machine learning use cases.
  • Develop defensible, well-documented methodologies that stand up to executive scrutiny and support strategic decision-making.
  • Communicate complex results clearly to both technical and non-technical audiences.
  • Partner with data engineers to define and source relevant data features for modeling as well as drive adoption and a deep understanding of proper data usage.
  • Develop and validate predictive models using techniques such as regression, random forests, gradient boosting, causal modeling and neural networks.
  • Communicate findings and recommendations to non-technical audiences through clear visualizations and storytelling.
  • Contribute to the maintenance of models in production environments, ensuring scalability and performance.
  • Conduct peer code reviews and support best practices in model development and deployment.
  • Collaborate with both external and internal resources to support business requirements and key KPI measurement

Basic Qualifications:
  • Bachelor's degree in a quantitative discipline (e.g., Statistics, Economics, Computer Science or other quantitative field)
  • Minimum of 3 years of experience in data science, econometrics or a related field
  • Proficiency in Python and SQL
  • Hands-on experience with big data and cloud platforms such as Databricks, Snowflake or Spark
  • Exposure to MLOps best practices, including model versioning, monitoring, and deployment pipelines
  • Strong grasp of machine learning algorithms like:
    • Regression (linear, logistic)
    • Causal Inference Models (Difference-in Difference, Regression Discontinuity Design)
    • Tree-based models (Random Forest, XGBoost, LightGBM)
    • Neural networks
    • Clustering and dimensionality reduction (e.g., LDA, PCA, Dynamic Time Warping)
  • Ability to translate complex data into actionable insights for business stakeholders

Preferred Qualifications:
  • Master's degree in a quantitative discipline (e.g., Statistics, Economics, Computer Science or other quantitative field)
  • Automotive experience
  • 2+ years of experience working with commercial data
  • Experience using PySpark for distributed data processing and feature engineering
  • Strong communication and storytelling skills with the ability to influence decision-makers
  • Understanding of CI/CD workflows for automating model testing and deployment
  • Experience working with real-time data pipelines and event-driven architectures
  • Experience with experimental design, and statistical inference
  • Exposure to feature stores and model registries in MLOps environments
  • Experience with Power BI or similar tools for data visualization and dashboarding

What Stellantis employees say

Pay

Benefits

Hours and flexibility

Workplace

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