Business Intelligence Engineer

2 weeks ago

Bengaluru Indore Noida, India Impetus Technologies Full time US$ 90,000 - US$ 1,20,000 per year

Job Description

  • 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 BIas 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.

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