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Infinity Quest

Data Analyst

Infinity Quest
Netherlands · Contract · Mid-Senior

Role: Data analyst (R-Shiny)

Location : Europe Remote

Type Contract: long term contract


Description

At Uni Systems, we are working towards turning digital visions into reality. We are continuously growing and we are looking for a Data Analyst (R-Shiny) to join our UniQue team.

What will you be bringing to the team?

  • Collect, analyze, clean, and preprocess data from various sources
  • Design, implement, and maintain data pipelines and ETL processes
  • Develop and optimize ETL (Extract, Transform, Load) processes to integrate data from diverse sources
  • Perform data profiling and generate reports to support business decisions
  • Collaborate with cross-functional teams to understand data needs and deliver solutions
  • Ensure data integrity, quality, and security
  • Document data pipelines, processes, and methodologies to ensure maintainability and knowledge sharing
  • Stay updated with the latest industry trends and technologies

Requirements

What do you need to succeed in this position?

  • Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field
  • Minimum 5 years of professional experience in IT after the completion of studies as a Data Analyst or similar role
  • At least 3 years of working experience with Python and R programming languages
  • Proven experience of Shiny web-framework would be a plus
  • Proven experience with SQL
  • Familiarity with ETL tools and data visualization tools (e.g., Tableau, Power BI)
  • Familiarity with cloud solutions such as MS Azure
  • Strong analytical and problem-solving skills
  • Experience with Agile methodologies
  • Good team-leading skills, team spirit, ownership, and accountability
  • Excellent use of the English language (verbal & written)

Key Skills

Ranked by relevance

etl data visualization tableau python cloud
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Posted
Dec 20, 2024
Type
Contract
Level
Mid-Senior
Location
European Union

Industries

IT Services IT Consulting

Categories

Information Technology

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