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Aptiv
Analytics Engineer

MCIP Data Analytics, Tools, Process Engineer

On-siteMidAnalytics Engineerposted 1mo ago
✦Role summaryAI-generated

This role focuses on building and maintaining Microsoft Lists, Power Automate flows, and Power BI dashboards to streamline data extraction and automation for Aptiv's operations in Krakow. Candidates will develop custom Excel solutions and optimize semantic models to support end-user customization and data-driven decision making.

Skills required

About this role

Development and use of analysis tools and supporting information sources:
- Microsoft lists

  • Develop, customize & maintain Microsoft lists
  • Design multiple cross-linked lists to facilitate data extraction / automation
  • Use of Lookup fields to other lists to optimize / error-proof data entry
  • Ability to customize list views to aid data entry and/or facilitate visualization

- Power Automate

  • Develop, customize & maintain flows to support data processing and automation.

- Excel

  • Ability to use Pivot tables/charts, Xlookup, Xmatch, Conditional formatting, etc.
  • Use Power-Query to manipulate data from different sources

- Power BI

  • Develop, customize, maintain, optimize, and debug Power BI semantic models, reports, dashboards, paginated reports
  • Ability to understand and modify live-connections to Power BI visuals to support end-users to customize them based on their specific data needs
  • Solid understanding of Power-Query, DAX, and Relationships Management
  • Knowledge to create Data Measures
  • Able to connect to data from different sources and data formats: Excel, csv, HTML, Microsoft Lists, SharePoint, Google BigQuery, etc.

Qualifications:

  • Bachelor’s degree in Data Science, Statistics or Engineering
  • 3-4 years in the development of tools for large data related to Electronics components

#LI-PT2

Privacy Notice - Active Candidates: https://www.aptiv.com/privacy-notice-active-candidates

Aptiv is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law.

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