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.
Job Classification
Industry: Accounting / AuditingFunctional Area / Department: Data Science & AnalyticsRole Category: Business Intelligence & AnalyticsRole: Analytics ConsultantEmployement Type: Full time