Updated: 2024-06-17

Consultant Task – Data Analyst, Stockholm / Hybrid (2024.05.29)

Stockholm, Sverige

  • Publisert 1 month ago
  • Engelsk, Svensk
  • Forventet startdato: ASAP

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

Plassering Stockholm, Sverige
Arbeidsmengde 20 Timer/uke , Delvis fjern
Forventet startdato ASAP
Forventet sluttdato 2025-05-31
Nødvendige språk Engelsk, Svensk
Nødvendige ferdigheter Power BI, DAX - Data Analysis Expressions, Phyton, SQL

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