Senior Data Analyst

Full Time
Auburn Hills, MI
Posted Today
Job description

Job Description

Title: Senior Data Analyst, Data & Systems

Role Summary:

Role Responsibilities:

  • Pair with system SMEs to gain input/knowledge on key systems data
  • Develop functional requirements for system spilt
  • Understand and evaluate IT proposals to perform functional/logical or physical split
  • Provide functional support to internal IT (for homegrown systems) and IT providers (for 3rd party software
  • Define and perform testing scenarios for split systems: functionalities Escalate to SME in case of need
  • Work with big sets of master data and split them up between RemainCo-BorgWarner and NewCo-Phinia according to the agreed split criteria/rules
  • Meet project milestones
  • Work closely with the “GSM Data & Systems split Project Manger”, systems’ SME, Corporate GSM Leads on both sides (RemainCo-BorgWarner and NewCo-Phinia) and third party Software Vendors’ technical resources.

Education:

  • Bachelor’s degree in computer science in computer science, information systems, statistics or related field.

Experience:

  • 5+ years of experience in data analytics or data science roles or sytems maangment roles
  • Background experience on GSM processes/topics/tools
  • Experience in spin-off of systems in Multinational Companies is an absolute plus
  • Advanced understanding of data management and visualization practices.
  • familiarity in working in a multinational/ multicultural/multi-timezone environment

Work Location:

  • Hybrid remote
  • Auburn Hills/Detroit office 2-3 times per week.
  • 5% travel

knowledge of below systems / technologies is considered a plus:

  • Ivalua
  • SharePoint based Applications
  • Alteryx
  • SAP P2P Modules
  • Data integration through API and flat files

Job Type: Full-time

Benefits:

  • 401(k)
  • 401(k) matching
  • Employee assistance program
  • Flexible schedule
  • Flexible spending account
  • Health insurance
  • Life insurance
  • Paid time off
  • Parental leave
  • Professional development assistance
  • Referral program
  • Relocation assistance
  • Retirement plan
  • Tuition reimbursement
  • Vision insurance

Schedule:

  • 8 hour shift
  • Choose your own hours
  • Day shift
  • Holidays
  • Monday to Friday
  • No nights
  • Weekend availability

Experience:

  • data science: 5 years (Preferred)
  • systems maangment: 5 years (Preferred)
  • Data analytics: 5 years (Preferred)

Work Location: One location

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