Lead Data Analyst

Lead Data Analyst

Experience: 10 yrs

Location: Bangalore

Work Mode: Hybrid

Budget: 30 LPA

Primary Skills: Experience with performance tuning Power BI datasets and reports with Direct and Import mode, Aggregations, Filter Contexts, Partitioning, Row Level Security etc..

Requirements:

• Extensive hands-on Power BI visual dashboards, applications, KPI (key performance indicators) scorecards, DAX functions.
• Experience with performance tuning Power BI datasets and reports with Direct and Import mode, Aggregations, Filter Contexts, Partitioning, Row Level Security etc.
• Experience managing and optimizing Power BI Capacities, using Advanced Restful APIs.
• Experience on cloud data ecosystems AWS (Amazon Web Services) Redshift, Azure Synapse, Snowflake or Data Bricks.
• Experience writing and tuning performance on complex SQL queries.
• Experience with Star/Snowflake data models.
• Experience providing solutions on Retail or Finance data domains.
• Ability to articulate, create, and maintain technical and non-technical documentation.

Responsibilities:

• Design and build data applications on public cloud environments (AWS, Azure, GCP) and/or hybrid cloud using a well architected framework.
• Leveraging expertise in data analysis, visualization, and business intelligence to provide valuable insights and support data-driven decision-making within the organization.
• Lead a team of data analysts to execute the data strategy and maintain the ecosystem.
• Regular evaluation of changes in the data industry and adopt the best practices in terms of technology, governance, security, and compliance.

• Optimize cloud data infrastructure costs.
• Respond to technical issues in a professional and timely manner.
• Develop Power BI visual dashboards, KPI scorecards, and reports utilizing Microsoft technology stack.
• Leverage modern Power BI to extract and manipulate data from a variety of diverse sources.
• Write complex DAX functions in Power BI and Power Pivot.
• Present alternative ways for internal customers to visualize and consume data.
• Understand business questions/pain points and alleviate with supporting data.
• Ensure data accuracy, consistency, and adherence to data governance policies. Conduct data quality checks and implement measures to maintain data integrity.
• Research advanced analytic/visualization capabilities to improve customer understanding of data insights.
• Collaborate cross-functionally at various levels and diplomatically influence stakeholders.
• Demonstrate excellent analytical, problem-solving, and decision-making skills.
• Demonstrate the ability to multi-task, deal effectively with ambiguity, change in business requirements, and self-prioritize under pressure.
• Debug data issues and deliver quality results under tight timelines.