Data Analyst (R-Shiny)

Job 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)

At Uni Systems, we are providing equal employment opportunities and banning any form of discrimination on grounds of gender, religion, race, color, nationality, disability, social class, political beliefs, age, marital status, sexual orientation, or any other characteristics. Take a look at our Diversity, Equality & Inclusion Policy for more information.