Business Intelligence Engineer

• Primary Tool:

   Power BI with strong semantic modeling experience
• Exposure to Power BI's Power platform tools like Power Automate / Power Apps exposure
• Designing and implementing robust Power BI solutions for complex transformation initiatives.
• Work closely with business analysts and BI leads to enhance key business metrics and improve customer experience.
• Migration from legacy reporting systems to Power BI.
• Leverage Generative AI (Gen AI) capabilities and broader BI best practices to streamline processes and unlock new analytical insights.

Roles & Responsibilities

• Proficiency in Power BI

  as the primary tool; experience with other BI tools is also a good asset
• Sound knowledge and expereince in developing 

  Power BI semantic modelling

   for any relevant BI tool
• Demonstrate strong skills in databases / datawarehoused such as 

  Oracle, MySQL, DB2, Databricks or Snowflake

   with expertise in writing complex 

  SQL queries

  .
• Exposure to Power Platform like Power Apps and Power Automate
• Designing and implementing robust Power BI solutions for complex transformation initiatives.
• Apply sound knowledge of various forms of 

  data analysis

   and 

  presentation methodologies

  .
• Collaborate closely with business analysts and BI leads to enhance key business metrics and improve customer experience.
• Focus on leveraging Generative AI (Gen AI) capabilities and broader BI best practices to streamline processes and unlock new analytical insights.
• Be an 

  out-of-the-box thinker

  , not limited to the work done in projects.
• Capable of working effectively as an 

  individual contributor

   and as part of a 

  team

  .
• Exhibit good 

  communication, problem-solving, and interpersonal skills

  .
• Be a 

  self-starter and resourceful

  , skilled in identifying and mitigating risks.

Good to Have

• Certification in Power BI or another relevant BI tool.
• Working knowledge of

  Databricks, Snowflake and other cloud datawarehosue technologies

• Exposure to one of the cloud providers: 

  AWS, Azure, or GCP

  .
• Experience or exposure to 

  Artificial Intelligence (AI)

   and 

  Machine Learning (ML)

   concepts and their application in BI.
• Working knowledge of scripting languages like 

  Perl, Shell, or Python

  .