Data Analytics Internship – Quality & CI 80 100 (fmd)
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Job Location:
Zürich - Switzerland
Monthly Salary:
Not Disclosed
Posted on:
3 hours ago
Vacancies:
1 Vacancy
Job Summary
Location:
Zurich Zurich SwitzerlandJob ID:
R0124236Date Posted:
Company Name:
HITACHI ENERGY LTDProfession (Job Category):
Administration & FacilitiesJob Schedule:
Full timeRemote:
NoJob Description:
The opportunity
We are seeking a motivated Intern to support our Quality & Continuous Improvement this role you will help strengthen our data analytics capabilities by using Microsoft data tools to build robust data models develop KPI dashboards and generate clear actionable insights from timeseries and operational data. You will also contribute to improving internal tools documentation and training materials including the creation of training content using AI tools. The duration of the internship is 6 months.
How youll make an impact
Build and maintain Power BI data models and DAX measures for key KPIs; design dashboards that communicate trends drivers and anomalies
Perform Exploratory Data Analysis (EDA) using Power BI/Excel and when needed Azure notebooks; define metrics and validation approaches aligned to business objectives
Implement practical forecasting/anomaly detection baselines; compare methods and document results assumptions and recommended next steps
Collaborate with data engineers to clarify data structures ensure data quality and set refresh schedules; apply RLS and incremental refresh when appropriate
Maintain reproducible analytical assets (PBIX SQL queries notebooks) and clear documentation (metric definitions data lineage change logs)
Support the design improvement and regular updates of the Quality & Continuous Improvement SharePoint site
Maintain and enrich the Training Catalog with the latest content and structure as well as assist with inquiries and help manage with the data and reporting of the development activities
Support training content creation with AI tools feedback collection and processing
Your background
Enrolled in Bachelors or Masters degree in Data Science Statistics Applied Math Computer Science Industrial/Electrical Engineering or a related field
Power BI skills including DAX and thoughtful dashboard design are part of your toolkit
Experience with Power Query and SQL enables you to handle data confidently
Advanced Excel functions and PivotTables come naturally to you
Knowledge of statistics and essential ML concepts helps you analyze data effectively
You communicate with clarity across nontechnical audiences while keeping your PBIX SQL and notebook workflows structured and reproducible
More about us
We are a technologydriven company with a strong focus on innovation continuous improvement and sustainable manufacturing. We offer flexible working conditions dedicated mentorship and a supportive inclusive environment where you can grow personally and professionally empowering you to thrive while balancing life and work.
We look forward to receiving your application including a brief cover letter and a transcript of records along with your CV. NonEU/EFTA citizens please note that an official university certificate showing that an internship is a mandatory part of your studies is required.
Qualified individuals with a disability may request a reasonable accommodation if you are unable or limited in your ability to use or access the Hitachi Energy career site as a result of your disability. You may request reasonable accommodations by completing a general inquiry form on our website. Please include your contact information and specific details about your required accommodation to support you during the job application process.
This is solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes will not receive a response.
Required Experience:
Intern
Key Skills
About Company
Discover how Hitachi Rail is connecting the future of mobility through integrated rail solutions, across rolling stock, signalling, digital technology and more.
