Business Intelligence Developer

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.

Location : Indore / Bangalore / Noida

Total experience:

Role :

• 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.