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Lead Data Analyst
3 months ago
Job Description :
Role : Lead Data Analyst
Experience : 10 years
Location : Bangalore
Work Mode : Hybrid
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.