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SISika AG

Internship - Analytics Engineer(m/w/x)

Baar
Full-timeInternshipOn-site
Data Science

Designing and implementing ETL processes for building sector products using Python and SQL. Strong data analysis and data modeling knowledge required. Exposure to machine learning projects, ongoing training.

Requirements

  • Bachelor's or Master's degree in Data Science, Business Analytics, Computer Science, or related field
  • Strong data analysis, data modeling, and data management knowledge
  • Hands-on SQL and Python experience for data processing and automation
  • Experience with BI tools (e.g. Power BI)
  • Solid knowledge of ETL processes and data pipelines development/use
  • Initial AI tools experience for data analysis or automation is advantageous
  • Interest in Finance and Controlling processes (e.g. FP&A, reporting, planning)
  • Strong analytical mindset and structured, precise working approach
  • Team player with effective collaboration skills with technical and business stakeholders
  • Very good English command

Tasks

  • Design and implement ETL processes
  • Maintain structured and reliable data foundation
  • Automate and optimize data processes
  • Optimize recurring workflows using Python and SQL
  • Collaborate with business stakeholders
  • Translate business requirements into data-driven solutions
  • Support Finance and Controlling in data analysis
  • Support Finance and Controlling in reporting
  • Support Finance and Controlling in performance tracking
  • Develop BI dashboards
  • Improve scalable reporting solutions
  • Identify optimization potentials in processes and systems
  • Implement optimization potentials in processes and systems
  • Use modern technologies to increase efficiency
  • Use AI tools to develop analyses and processes

Education

  • Bachelor's degreeOR
  • Master's degree

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • SQL
  • Python
  • Power BI
  • AI tools

Benefits

Career Advancement

  • Opportunities for growth

Other Benefits

  • Exposure to modern data technologies
  • Participation in global analytics platform

Diverse Work

  • Exposure to analytics projects
  • Exposure to machine learning projects

Learning & Development

  • Ongoing training
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Sika AG and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.

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