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Consultant Task – Data Analyst, Stockholm / Hybrid (2024.05.29)
Stockholm, Sverige
- Offentliggjort 1 måned siden
- Engelsk, Svensk
- Forventet startdato: Hurtigst muligt
Assignment Details
Location: Stockholm (Hybrid, presence in office one day per week)
Workload: 50% part-time (38.75 hours per week for full-time)
Start: June/July 2024
Duration: 11 months (until end of May 2025)
Language: English (Swedish)
About the role:
Our client is seeking a skilled Data Analyst to join their team on a part-time basis for a temporary role covering maternity leave. The Data Analyst will play a crucial role in maintaining, supporting, and developing interactive reports that provide valuable insights to the business.
Key Responsibilities:
- Develop business intelligence reports and datasets using Microsoft Power BI.
- Write PySpark code to prepare data for these datasets.
- Collaborate with colleagues across various business functions and IT to ensure reports meet business needs.
You will be part of a distributed team of 8 members located in Stockholm, Helsinki, and Berlin, covering a broad range of data-related tasks from integrations to reporting and AI. The team follows a hybrid working model and agile methodologies with frequent, small releases.
Requirements
Essential:
- Experienced with visualizations and DAX in Power BI.
- Comfortable writing SQL code.
- Some previous experience with Python.
- Good level of English.
Desirable:
- Experience in reporting, scorecards, or BI within finance or accounting.
- Familiarity with GIT.
- Experience in PySpark.
- Interest in UX and usability.
Are you interested?
If you have the right qualifications please forward your resume in word, with a hourly rate and availability date to Andreas Malm at andreas.malm+171@rightpeoplegroup.com
Or apply here.
Overview
Område | Stockholm, Sverige |
Arbejdsbyrde | 20 Timer / Uge , Delvist remote |
Forventet startdato | Hurtigst muligt |
Forventet slutdato | 2025-05-31 |
Nødvendige sprog | Engelsk, Svensk |
Nødvendige kvalifikationer | Power BI, DAX - Data Analysis Expressions, Phyton, SQL |
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