Job Summary

Data Analyst

  • Location:
    Southfield, Michigan
  • Job reference:
  • Category:
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In this role, you will support the data requirements of the Data Scientists who are using analytics to achieve business outcomes. If you have the experience we are looking for the Data Analyst position located in Southfield, MI, click now and apply with your resume today! Get started with a Fortune 500 Automotive corporation where there are plenty of room for growth and opportunities!
• Utilizing strong SQL and Statistics skills to check, identify, report and correct data quality issues
• Discovering and curating data sources
• Profiling and transforming data that is replicated into a Data Lake
• Creating data standards, assessing data quality and creating required transformations
• Collaborating with IT teams to support data collection, integration, and retention requirements based on the input collected with the business
Skills Required:
• 1-2 years of relevant quantitative and qualitative experience in research and analytics or relevant graduate coursework
• 3-5 years of relevant quantitative and qualitative experience in research and analytics
• 3+ years of experience working with big data projects, and data operations experience working with analytics methodologies and supporting tools
• Understand, wrangle, transform, and visualize large data sets from many sources, using a variety of tools
Experience Required:
• Advanced experience with data analysis tools such as: SQL, Hadoop, Teradata, SAS, Excel, Access, SPARK
• Proficiency in statistical analysis and techniques, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms
• Ability to come up with solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets
• Proven ability to communicate (both orally and visually) findings to make data analysis actionable and understandable by business partners, including IT and analytics
Education Required:
• Bachelors degree in Computer Science, Statistics, Mathematics, or Physics.

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All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

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