About Tarshid:
Tarshid is the National Energy Services Company, established by the Public Investment Fund to catalyze the development of a more energy efficient Saudi Arabia. The launch of Tarshid is a result of a collaborative effort between the Ministry of Energy, Ministry of Finance and the Saudi Energy Efficiency Center. Tarshid aims to be a pioneer in the energy efficiency field and to build towards a more sustainable future. Tarshid has a mandate to develop, fund and manage impactful energy efficiency projects in government and commercial sectors that achieve significant energy savings for the Kingdom.
Job Summary:
The Data Analyst Lead will play a critical role in enabling Tarshid’s business units to make data-driven decisions. In the short term, this role will focus on collecting, cleaning, consolidating, and analyzing data from multiple systems to provide reliable reporting and insights. In the medium to long term, the Data Analyst will actively contribute to the design, testing, and adoption of Tarshid’s Data Lake and Business Intelligence platforms, enabling advanced analytics and AI-driven insights across the organization.
Main Responsibilities:
Data Strategy & Governance:
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Align analytics priorities with business strategy and own the analytics roadmap.
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Enforce governance (standard metric definitions, data dictionary, access tiers).
Immediate (Pre–Data Lake):
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Gather, validate, and consolidate data from multiple siloed systems and manual sources.
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Develop recurring and ad-hoc reports for Finance, Strategy, Shared Services, and Operations.
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Build dashboards and visualizations (Excel, Power BI) to track KPIs such as project progress, financial performance, and energy savings.
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Highlight trends, anomalies, and risks to support timely decision-making.
Transition (During Data Lake Implementation):
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Support IT/Digital Transformation in defining data requirements, integration points, and reporting needs.
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Map existing manual reports to future automated dashboards.
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Identify data gaps, inconsistencies, and recommend data quality rules.
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Participate in testing and validation of migrated datasets and dashboards.
Future (Post–Data Lake):
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Leverage centralized data to deliver predictive and prescriptive analytics.
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Enable AI/ML use cases (e.g., IoT smart meters, energy savings forecasting, operational optimization).
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Create scalable, automated dashboards for business self-service reporting.
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Partner with business stakeholders to translate strategic questions into data-driven insights.
Qualifications, Experience & Skills :
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Bachelor’s in CS/Information Systems/Statistics/Math or related field.
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Preferred: DA-100/PL-300 (Power BI), Google Data Analytics, or equivalents.
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4+ years of experience in DA
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Proficiency level in English required, and fluency in Arabic is preferred.
Technical & Process Expertise:
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Business Analysis, Elicitation & Collaboration
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Solution Performance Evaluation
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Market Intelligence & Insight
Governance & Oversight:
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Proven track record in SLA monitoring, vendor governance, and performance management.
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Ability to design, implement, and enforce IT service management policies and processes.
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Experience with audits, compliance checks, and service reviews.
Soft Skills
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Strong customer service orientation and user advocacy.
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Excellent communication and stakeholder management skills.
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Analytical mindset with the ability to identify root causes and implement improvements.
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Ability to manage priorities in a high-demand environment.