Lead Data Analyst - DAX Power BI (10-15 yrs)

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.