Jobs In The Line Neom Senior Analyst Data Analytics and Governance
Neom The Line Jobs Sector: Energy Water and Food
The Line Job Neom Distribution Jobs : Water
Support the implementation of data analytics and data governance services for NEOM Water Utility Company WUC .
Support verification of the WUC data model and its operational processes.
including but not limited to supporting the implementation of information based decision-making processes
KPI maintenance and support
KPI reporting business requirements
Regulatory reporting requirements
Implement support process operations for information management.
Liaise with IT to implement data analytics including reporting & BI and information management platform for WUC.
Implement all data governance processes for data lifecycle management that enhance confidence in data driven decision making including but not limited to.
Design, develop and implement data quality standards and processes.
Design, develop and implement data management procedures.
Design, develop and implement data security (as per NEOM CISO process), data sharing policies and regulatory compliance
Advise Water team clients to assess, design and implement data analytics and governance requirements
Assist other departments and departments with any technical guidance inquiries or needs that involve a direct relationship between data analytics/governance and water.
Support the Data Architecture Manager on all initiatives related to data analytics and governance, including but not limited to;
Support by providing input and feedback to the Data Architecture Manager on the Data Analytics and Governance rollout goals and strategic roadmap and plan.
Support and execute coordination activities on projects and initiatives led by the Data Architect Manager
Provide accurate and timely status of various data analytics and governance activities.
Support Business Lead Data Stewardship on Enterprise Data Steward Role
Mainly responsible for data accuracy, completeness, consistency, timeliness, accuracy and uniqueness.
Ensure proper implementation of data analytics and governance initiatives in a key internal consultant and lead role
Ensures business engagement in IT and CISO governance processes including identification of data stewards and owners Addresses information governance and prioritization issues.
Support NEOM corporate data analytics and governance standards and integration processes of water sector specifications
Ensures business engagement in IT governance processes including identification of data stewards and owners.
Addresses increasing information governance and prioritization issues.
Needs
Bachelor's degree or higher in Business or IT or closely related field, with Master's degree in data topics is a plus.
Experience in multiple data governance and/or BI/Analytics implementation processes, ideally in greenfield type projects.
Strong knowledge and experience on data lifecycle management, ideally participated in initiatives with dispersed data including OT/IoT type data.
Strong background in business-facing roles, ideally in roles related to capturing and managing business information needs (reporting, KPI, regulatory, stewardship, etc.).
A strong understanding of an information management platform (cloud, databases, BI reporting, advanced analytics workbenches, etc.), while not mandatory from an IT perspective, is at a minimum business/use case perspective to enable A clear understanding is required. Liaise with IT
Expertise on Data Governance and Data (SFIA Standards)
Information Governance (IRMG) - Critical - Highly Skilled
Data Management (DATM) - critical - highly skilled (minimum focus on business and use cases)
Information Assurance (INAS) - Critical - Highly skilled
Relationship Management (RLMT) – Relevant – Highly skilled
Strategic Planning - Relevant - Skilled
Enterprise and Business Architecture (STPL) – Relevant – Skilled
Information Systems Coordination (ISCO) - Desirable - Qualified
Enterprise IT Governance (GOVN) - Desirable - Qualified
Advanced experience in data analysis tools such as Excel, SQL and BI tools (ie Power BI, SAP SAC) and preferred more advanced data management workbenches such as R or Python
Strong interpersonal social and communication skills.
Excellent written and verbal skills (professional proficiency in English a must and Arabic a bonus).
Strong analytical & problem solving skills.
Courses and certifications in particular data disciplines (BIAnalytics Governance etc.) are highly valued.
Computer skills including Microsoft Office suite and Adobe products
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