Power BI Developer

1 week ago


Dubai, Dubai, United Arab Emirates Dicetek LLC Full time

Required Skills
Power BI, Data Analytics, Data Modeling, Power BI DAX, Gate Way, Service, Fabric.

Job Summary
As a Data Analyst, you will be responsible for collecting, analyzing, and interpreting large datasets to solve complex problems and provide actionable insights using Data Lake and Power BI. You will work closely with cross-functional Data & Business teams to leverage data in innovative ways, helping the organization make informed decisions and optimize processes. You will use various charts/graphs and visualization techniquests to present business KPIs using Power BI. Ability to Present your insights in a clear and concise manner to both technical and non-technical stakeholders is important. Ensuring data accuracy and reliability, resolving inconsistencies, and collaborating with teams to improve data processes are crucial. Additionally, staying updated with data analysis techniques and contributing to process improvement and innovation is expected.

Desirable Qualification: Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.

Work Experience: Proven experience (4+Yeras) as a Data Analyst/BI Developer, or similar role, preferably in a large-scale organization or within the logistics industry.

Technical Skills Required To Perform The Role

  • 4-7 years of experience in data visualization using Power BI.
  • Strong proficiency in DAX, Power Query, and Power Automate.
  • Excellent analytical skills with the ability to interpret complex data sets.
  • Familiarity with data modeling and visualization best practices.
  • Strong communication skills to collaborate with cross-functional teams.
  • Experience to design Dashboard to be compatible with Mobile Devices
  • Expertise in extracting the data from REST APIs to Power BI Visualization Tool
  • Strong knowledge in understanding of Database Concepts and Ability to write SQL Queries
  • Able to Develop Data Models to identify potential opportunities and risks using the data sets
  • Interpret data, analyze results using statistical techniques and provide ongoing trends or patterns and reports.
  • Experience in Python is an added advantage

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