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Data Analyst Lead

TARSHIDSaudi Arabia, KSA5 months agoMid-Senior
Mid-Senior

Skills

SQLPythonR Programming

About This Role

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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