- Professional
- Bureau à Bangalore
Job description
What You’ll Do
As a Senior Data Analyst, you will be a key driver of data-informed decision-making across the organization. Your primary focus will be on designing impactful dashboards and analytical solutions using Power BI, while working with cross-functional teams to translate business needs into scalable insights.
- Collaborate with Stakeholders: Understand business objectives, define KPIs, and translate requirements into data models and reports.
- Design in Power BI: Build high-quality, performant dashboards primarily using Power BI, with advanced DAX calculations and intuitive user experiences.
- Data Modeling: Create and optimize semantic models to support self-service reporting and accurate business logic.
- Insight Generation: Deliver ad hoc and recurring insights, visualizations, and presentations that tell a clear and actionable story.
- Data Quality & Governance: Ensure data accuracy and reliability, following best practices in data validation and report refresh design.
- Documentation & Support: Create detailed documentation and provide training to promote user adoption and data literacy.
- Project Management: Lead BI/reporting projects from ideation to deployment, ensuring stakeholder alignment and solution scalability.
- 5- 7 years of experience in data analysis, business intelligence, or similar roles.
- Deep, hands-on experience with Power BI, including DAX for calculated measures and data modeling.
- Strong SQL skills for working with large datasets.
- Familiarity with Python or a scripting language for automation or data prep tasks.
- Strong communication skills for translating data findings into business-relevant insights.
- Proven ability to manage multiple projects in a dynamic, fast-paced environment.
- Hands-on experience with Databricks (e.g., Spark, Delta Lake) for data transformation or integration into BI workflows.
- Experience with other BI tools like Tableau or Cognos (secondary to Power BI).
- Familiarity with semantic modeling techniques (e.g., star/snowflake schemas).
- Understanding of data governance, data quality assurance, or master data management.
- Knowledge of UX/UI best practices in dashboard design for usability and performance.
- Exposure to version control systems (e.g., Git) for managing SQL or BI assets.