Job Details

Data Scientists Analyst

Job ID 1109

  • Dearborn, MI, 48126
  • Contract
  • 8 - 20 years experience
  • 60 - 64 Per Hour
  • 17/09/2019
  • Automobile, Auto Anciliary, Auto Components
  • 2 of Openings
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Job description

Data Governance Analyst Work across all areas in client Company (e.g. Purchasing, Product Development, etc.). Ensure data quality, data management, data policies and risk management around the handling of data at Ford are followed. Ensure Ford’s data is profiled to identify PII and other data attributes for security, understand content and opportunities to improve it with standards. Work with various stakeholders to make recommendations to improve data quality, data standardization and data transformation

Responsibilities

  • Responsibilities: Data usage/data management/data protection including: 

    • Perform data profiling of sources to assess data quality and work on mitigation strategies and cleansing solutions 
    • Populate Metadata content and associate terms in the Business Glossary to develop the Informatica Enterprise Data Catalog 
    • Resolve data issues in the appropriate forums and work cross-functionally to develop solutions 
    • Collaborate with Data, Analytics, and IT teams and guide them on data standards and the use of Informatica tools 
    • Identify relationships in data to assist in providing insights 
    • Establish repeatable, sustainable processes to maintain data and metadata 
    • Understand company and regulatory guidelines regarding data privacy, usage and retention (PII, GDPR, SPII) 
    • Deliver training and communications for new Informatica capability and Data Governance processes 
    • Automate solutions to enable data protection for inter-related systems data 
    • Utilize skills in Informatica Software: Data Quality, Profiling, and Data Management tools, SQL and Data discovery techniques.

    Skills Required:

    • Skills in Informatica: Analyzer, MDM, EIC, EDL, EDC, BDM, IDQ, PowerCenter 
    • Skills in Java, NoSQL, HADOOP, IBM Data Stage/Quality Stage 
    • Data Management tools, SQL and Data discovery techniques.

    Skills Preferred:

    • Knowledge of Application Development Lifecycle 
    • Strong collaboration and communications skills, ability to engage with others 
    • Ability to resolve complex problems and break them down to create and implement an action plan 
    • Ability to lead data related project activities 
    • Self-Starter who can work in ambiguous situations and drive to a solution 
    • Strong organizational skills and ability to advance multiple work streams concurrently

    Experience Required: 8 + years of progressive responsibilities in Data Integration/Data Management

    Experience Preferred: Ability to work within analytical frameworks in a Big Data environment (Data Lake, EDW, Data Warehouse architectures)

    Education Required: Bachelor’s Degree in Computer Science, Statistics, Finance or a related technical field

    Education Preferred: Masters Degree

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