• Collaborate with business leaders & management teams to understand their data/reporting needs. Strong data modelling techniques are required.
• Supporting self-service reporting & resolving data/reporting issues promptly to maintain a stable BI environment.
• Communicate progress, milestones, challenges & escalate issues as needed.
• Assist with Power BI tasks: Develop and maintain semantic models, reports, dashboards, and paginated visuals using Power Query, DAX, and Power BI Service.
• Fair understanding of Power automate flows is needed.
• Hands on experience with report & workspace permissioning & RLS.
• Hands-on with writing DAX calculations to calculate, aggregate, append, consolidate & blend data from multiple sources.
• Automate, monitor & ensure time-critical reporting needs are delivered to business groups in the first half of GMT business hours.
• Handle integrated L1/L2 support: Triage and resolve Power BI-related tickets (data refresh errors, visualization issues, access problems) during business hours; escalate P1 incidents impacting analytics or compliance.
• Support analytics processes: Gather requirements, build/test models for key areas (sales forecasting, inventory trends, financial KPIs), and ensure integrations with EBS (via OBIEE feeds), Salesforce, Hyperion, and third-party tools (Adaptive).
• Conduct basic root cause analysis (RCA) for issues, implement fixes under guidance, and optimize performance (query tuning) in MedTech contexts.
• Enforce compliance and security: Apply row-level security (RLS), data masking, and audit logs aligned with ISO 27001, HIPAA/GDPR, and FDA guidelines for MedTech analytics.
• Contribute to automations and AIOPS: Assist in AI enhancements to support year-over-year cost reductions and innovation initiatives.
• Collaborate with POD teams (OBIEE, Hyperion, Salesforce) on cross-tool issues; participate in QBRs by preparing trend data (MedTech BI adoption for operational insights).
• Maintain documentation for datasets, reports, and changes; participate in Change Advisory Board (CAB) reviews, user training, and facilitate knowledge transfer sessions for ramp-down continuity.
• Support transitions: Aid in testing during updates and knowledge sharing with OBIEE/Hyperion for unified BI.

Success Metrics

• Achieve 98% dashboard availability and data accuracy SLAs, measured monthly via Power BI logs, supporting MedTech operational decisions.
• Resolve 90% of assigned tickets within SLA (P4 in 8 hours), reducing MTTR by 15% YoY through RCAs and automations.
• Complete 100% of compliance checks (ISO 27001/HIPAA) with zero findings in BI areas.
• Contribute to 10% BI automations (e.g., AI visuals) annually, aiding cost reductions and reviewed in fund reports.
• Earn CSAT >4.2/5 on tickets/QBRs, with growth in independent handling (50% solo by month 6) and effective KT.