Data Analytics & Automation Engineer

Aptiv

Kraków

Hybrid

PLN 90,000 - 130,000

Full time

6 days ago
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Benefits offered by this job

Private health care (Signal Iduna) and
Life insurance for you and your loved-
Well-Being Program with webinars and
Hybrid work (min. 47 days/yr remote)
Employer-paid Pension Plan (3.5% on每
Multisport card

Job summary

Aptiv is seeking a proactive data analytics professional in Kraków to design, build, and optimize data-driven solutions. You will leverage Microsoft Lists, Power Automate, Excel, and Power BI to automate processes, create insightful reports, and improve data quality.

You will work with diverse data sources, develop dashboards, and implement data measures with DAX, Power Query, and data modeling techniques to empower end-users with actionable insights.

Qualifications

  • Bachelor’s degree in a data-related field.
  • 3–4 years of experience in data analysis, reporting, or automation.
  • Hands-on experience with Microsoft Lists, Power Automate, Excel, and Power BI.

Responsibilities

  • Develop, customize & maintain Microsoft lists and cross-linked lists for data extraction and automation.
  • Use lookups to optimize data entry and customize list views for visualization.
  • Develop, customize & maintain Power Automate flows to support data processing and automation.
  • Employ PivotTables, charts, Xlookup, Xmatch, and conditional formatting in Excel; use Power Query for data from multiple sources.
  • Develop and maintain Power BI semantic models, reports, dashboards, and paginated reports; connect to data from multiple sources.

Skills

Analytical thinking
Problem solving
Data analysis

Education

Bachelor’s degree in Data Science, Statistics, Engineering, Computer Science, or related field

Tools

Microsoft Lists
Power Automate
Excel
Power BI
Python
Power Query
DAX
PivotTables

Job description

Aptiv is seeking a proactive data analytics professional in Kraków to design, build, and optimize data-driven solutions. You will leverage Microsoft Lists, Power Automate, Excel, and Power BI to automate processes, create insightful reports, and improve data quality.

You will work with diverse data sources, develop dashboards, and implement data measures with DAX, Power Query, and data modeling techniques to empower end-users with actionable insights.

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