Your key responsibilities
- BI Support Monitoring Provide daily application support for Power BI dashboards and Databricks pipelines, resolving incidents, fulfilling service requests, and implementing enhancements.
- Dashboard Development Design, develop, and maintain Power BI reports and data models tailored to evolving business requirements.
- Root Cause Analysis Investigate and resolve data/reporting issues, bugs, and performance bottlenecks through detailed root cause analysis.
- Requirement Gathering Collaborate with business users and technical stakeholders to define BI requirements and translate them into scalable solutions.
- Documentation Maintain technical documentation, including data flows, dashboard usage guides, and QA test scripts.
- On-Call Shift Support Participate in shift rotations and be available for on-call support for critical business scenarios.
- Integration Data Modeling Ensure effective data integration from diverse systems and maintain clean, performant data models within Power BI and Databricks.
Skills and attributes for success
- Hands-on expertise in Power BI, including DAX, data modeling, and report optimization
- Working experience in Databricks, especially with Delta Lake, SQL, and PySpark for data transformation
- Familiarity with ETL/ELT design, especially within Azure data ecosystems
- Ability to troubleshoot BI performance issues and manage service tickets efficiently
- Strong communication skills to interact with global stakeholders and cross-functional teams
- Ability to manage and prioritize multiple support tasks in a fast-paced environment
To qualify for the role, you must have
- 3-7 years of experience in Business Intelligence and Application Support
- Strong hands-on skills in Power BI and Databricks, preferably in a global delivery model
- Working knowledge of ETL processes, data validation, and performance tuning
- Familiarity with ITSM practices for service request, incident, and change management
- Willingness to work in rotational shifts and support on-call requirements
- Bachelor s degree in Computer Science, Engineering, or equivalent work experience
- Willingness to work in a 24x7 rotational shift-based support environment.
- No location constraints
Technologies and Tools
Must haves
- Power BI Expertise in report design, data modelling, and DAX
- Databricks Experience with notebooks, Delta Lake, SQL, and PySpark
- Azure Ecosystem Familiarity with Azure Data Lake and Azure Synapse (consumer layer)
- ETL Data Modelling Good understanding of data integration and modelling best practices
- ITSM Tools Experience with ServiceNow or equivalent for ticketing and change management
Good to have
- Data Integration Experience integrating with ERP, CRM, or POS systems
- Python For data transformation and automation scripting
- Monitoring Awareness of Azure Monitor or Log Analytics for pipeline health
- Certifications Microsoft Certified Data Analyst Associate or Databricks Certified Data Engineer Associate
- Industry Exposure Experience in retail or consumer goods industries
- People with client orientation, experience and enthusiasm to learn new things in this fast-moving environment.
- An opportunity to be a part of a market-leading, multi-disciplinary team of hundreds of professionals.
- Opportunities to work with EY BI application maintenance, practices globally with leading businesses across a range of industries.