Data Analyst Lead
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Key skills for this role
About the Role
Gather and analyze data, develop reports and dashboards, support digital transformation, and deliver predictive analytics for informed decision-making.
Key Skills for This Role
Full Job Posting
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.
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