Data Specialist - Data Modeling and Reporting Requirements for Staff Selection 2.0

United Nations
New York, NY, United States
3 months ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Information Systems Data Architecture Data Control Data Dictionary Data Structures Data Systems Data Warehousing Systems Analysis Metadata Standards Oracle (Applications) SAP HANA Build Management
+4 more
Core Data Information Technology Data Management Tools for Reporting

Job description

A foundational data and reporting framework for Staff Selection 2.0 is delivered, comprising consolidated data and reporting requirements, documented data models, data field specifications for the technical build, contributions to standard operating procedures, and review of proposed changes to the recruitment platform in coordination with the Office of Information and Communications Technology (OICT). The deliverables establish the structures, standards and inputs that the future data and analysis function will operationalize, ensuring consistency, quality and reusability across recruitment processes. By reviewing the new Staff Selection 2.0 process, providing input on proposed Change Requests to the recruitment platform, and ensuring the alignment of the inspira data warehouse with data and reporting requirements, the assignment ensures that future reporting, monitoring and analytical needs can be met from day one of Staff Selection 2.0 operations, avoiding costly retrofitting at later stages. Work Location Home Based Expected duration 3 Months, The Office of Human Resources in the Department of Management Strategy, Policy and Compliance is seeking an Individual Contractor to lay the foundations for future reporting, data monitoring and analytics under the newly designed skills-based staff selection system (UN Staff Selection 2.0). Working in close collaboration with the Office of Human Resources (OHR) colleagues, the Office of Information and Communications Technology (OICT), and operational stakeholders, the Individual Contractor will support the design and documentation of data models, data field specifications and standard operating procedures on which the future recruitment data and analysis function will rely. Under the supervision of the project manager, the Individual Contractor will perform the following responsibilities: * Study the existing documentation and learn the structure of the data in the inspira Data Warehouse, the design principles and the work that has been completed already. * Coordinate and consolidate data reporting requirements arising from Staff Selection 2.0 - the UN Secretariat’s revised recruitment process - ensuring that reporting and data requirements are clearly articulated. * Review the new Staff Selection 2.0 process end-to-end and help identify the data capture points along the workflow at which information must be recorded to support future reporting, monitoring and analytical needs. * Support the design and documentation of the data models underpinning Staff Selection 2.0, covering the core data domains of skills taxonomies, job profiles, assessment items, candidate data, selection outcomes and workforce indicators. * Review any developments/changes to the recruitment platform in the proposed implementation of the Staff Selection 2.0 process and develop reporting requirements, mapping data field specifications to the anticipated reports. * Review the proposed technical Change Request documents related to the enhancements of the Secretariat recruitment platform (inspira), in coordination with the Office of Information and Communications Technology (OICT), providing input to the formal sign-off process to ensure that the captured data will be sufficient and fit for purpose to meet downstream reporting and analytical requirements before development is finalized. * Assess the data implications, identify gaps and ensure the inspira Data Warehouse is fully aligned with data and reporting requirements. * Contribute to the development of standard operating procedures (SOPs) for the future data and analysis team, including team roles and responsibilities, request intake processes, prioritization criteria, turnaround standards and escalation paths. * Identify opportunities to streamline and standardize current data and reporting processes - eliminating redundancy, harmonizing definitions and improving consistency across the Secretariat - and recommend prioritized improvements. * Extract data and prepare reports as and when requested.

Requirements

Do you have experience in Technical documentation?, Do you have a Master’s degree?, Advanced university degree (Master’s degree or equivalent) in Information Systems, Systems Analysis, Business Analysis, Management Information Systems, or related field is required. A first-level university degree (Bachelor’s degree or equivalent) in combination with two additional years of relevant work experience may be accepted in lieu of the advanced university degree. A minimum of five years of progressively responsible experience in data modeling, data management, business analysis, reporting or related roles is required. Experience in working with data models, data dictionaries, taxonomies and metadata standards is required. Experience in documenting data field requirements for system builds and reviewing data structures or reporting outputs in coordination with technology teams is required. Experience in collaborating with operational/business stakeholders on requirements gathering, is required. Experience defining KPIs, metrics, and reporting frameworks is required. Familiarity with United Nations enterprise systems (e.g., Umoja, Inspira) and/or Oracle, SAP HANA-based reporting environments is desirable Experience working with HR, recruitment, talent management or other personnel data, is desirable. Languages

  • Working knowledge of data architecture and operating frameworks for data and reporting functions. * Demonstrated ability to coordinate across technical (IT/OICT-equivalent) and operational/business stakeholders, translating between technical and non-technical audiences. * Strong ability to translate business requirements into data solutions. * Strong analytical, documentation and communication skills. * Strong attention to data quality, integrity, confidentiality and ethical handling of personal data.

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