Expert in Power BI (DAX, Power Query, data modeling, and dashboard optimization).
Proficient in SQL and working with relational databases or data lakes.
Experience in using Python or equivalent data for automation and analytics.
Solid understanding of data visualization principles, KPI frameworks, and executive reporting.
Strong communication and stakeholder management skills.
Good to have - Familiarity with Clarity PPM (Project & Portfolio Management tool).
Good to have - Working knowledge of Anaplan (for financial modeling and scenario planning).
Direct Responsibilities
Dashboard Design & Development: Build executive-ready dashboards in Power BI to visualize KPIs, metrics, and strategic trends.
Data Integration & Modeling: Leverage SQL, Power BI, and data pipelines to model and prepare data for analysis.
Advanced Analytics & Automation: Use Python or equivalent tools for data transformation, automation, and advanced analytics.
Cross-Functional Engagement: Work with teams across IT Strategy, PMO, Finance, Governance, and Delivery to consolidate insights.
Data Storytelling: Communicate complex analytics clearly through visual storytelling tailored for CIO-level stakeholders.
Tool Integration: Pull and consolidate data from tools such as ServiceNow, Jira, Clarity, Anaplan, and Excel.
Best Practices & Innovation: Promote analytics best practices and help define standards for visualization and data interpretation.
Contributing Responsibilities
Governance Alignment: Ensure alignment with enterprise data governance, compliance, and reporting standards.
Preferred candidate profile
Job Classification
Industry: BankingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data EngineerEmployement Type: Full time