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Business Data Analyst

Devoteam

Posted 5 months agoTunis, Tunisia

Location

Tunis, Tunisia

Job Type

Full-time

Experience

Mid-Level

Category

Technology

Job Description

Play key roles in building RSD (Report Specs Document) and KPI cards Story-telling using data visualization Data cleansing and normalization when needed Deep understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework This role requires flexibility in mobility, allowing individuals to work interchangeably between Tunis and Riyadh (Saudi Arabia).
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Responsibilities

  • More than 3 years of experience in the field
  • Experience working with senior decision makers
  • Strong communication/interpersonal skills
  • Proven analytical background
  • Advanced Excel skills
  • Excellent background in data warehouse design (e.g. dimensional modeling) and data mining
  • Industry experience is a must, preferably with more than one business domain
  • Excellent command of SQL language using multiple backend database engines such as SQL Server, ORACLE, DB2, etc..
  • Experience in generating visualization using Python libraries is a plus
  • BSc/BA in Computer Science, Engineering or relevant field
  • Experience with at least two BI technology (e.g. Microsoft Power BI, Tableau, Spotfire, Microstrategy, etc..) is a plus
  • Fluent in English & Arabic
  • Design, build, and maintain charts, dashboards, and KPIs
  • Design & build BI test cases
  • Facilitate the UAT workshops with the with business
  • Communicate with data warehousing and BI storage tools (e.g. OLAP cubes) to get the data for the visualizations
  • Evaluate and improve existing BI systems
  • Develop and execute SQL database queries and conduct analyses
  • Work with different data format; structured, semi-structured, and geospatial
  • Translate business needs to technical specifications
  • Participate heavily in designing & building BI user guides and awareness sessions
  • Conduct unit testing and troubleshooting
  • Perform descriptive, diagnostic, and predictive analysis on the data