Data Analyst Lead

Key Responsibilities

• Immediate (Pre–Data Lake)
• Gather, validate, and consolidate data from multiple siloed systems and manual sources.
• Develop recurring and ad-hoc reports for Finance, Strategy, Shared Services, and Operations.
• Build dashboards and visualizations (Excel, Power BI) to track KPIs such as project progress, financial performance, and energy savings.
• Highlight trends, anomalies, and risks to support timely decision-making.
• Transition (During Data Lake Implementation)
• Support IT/Digital Transformation in defining data requirements, integration points, and reporting needs.
• Map existing manual reports to future automated dashboards.
• Identify data gaps, inconsistencies, and recommend data quality rules.
• Participate in testing and validation of migrated datasets and dashboards.
• Future (Post–Data Lake)
• Leverage centralized data to deliver predictive and prescriptive analytics.
• Enable AI/ML use cases (e.g., IoT smart meters, energy savings forecasting, operational optimization).
• Create scalable, automated dashboards for business self-service reporting.
• Partner with business stakeholders to translate strategic questions into data-driven insights.
• Key Performance Indicators (KPIs)
• Deliver recurring standard reports within agreed timelines (e.g., weekly, monthly).
• Respond to ad-hoc data requests within 2–3 business days, depending on complexity.
• Ensure accuracy levels of at least 95% in reports and dashboards delivered.
• Support incident resolution related to reporting/data accuracy within 1 business day.
• Participate in governance meetings and provide updates as per the DT/IT governance cadence.