Primary Tool: MicroStrategy with strong schema layer architecting and development experiece
Exposure to other BI tools is preferable like Cognos, Power BI, Tableau, Qlik etc
Key Project Focus: Development, enhancement and optimization of MicroStrategy reports
Designing and implementing robust MicroStrategy solutions for complex transformation initiatives.
Work closely with business analysts and BI leads to enhance key business metrics and improve customer experience.
Leverage Generative AI (Gen AI) capabilities and broader BI best practices to streamline processes and unlock new analytical insights.
Roles & Responsibilities
Proficient in MicroStrategy as the primary BI tool, with additional experience in other BI platforms considered a valuable asset
Sound knowledge and expereince in developing schema layer or semantic model for MicroStrategy
Demonstrate strong skills in databases / datawarehoused such as Oracle, MySQL, DB2, Databricks or Snowflake with expertise in writing complex SQL queries.
Designing and implementing robust MicroStrategy 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 MicroStrategy 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.
