UN Women

Management Specialist (Business Intelligence and Predictive Data Analytics)

UN Women

Job Description

  UN Women, grounded in the vision of equality enshrined in the Charter of the United Nations, works for the elimination of discrimination against women and girls; the empowerment of women; and the achievement of equality between women and men as partners and beneficiaries of development, human rights, Humanitarian Action and peace and security. In line with the 2030 Agenda for Sustainable Development, General Assembly resolution 72/279 on the repositioning of the United Nations Development System, and the evaluation of UN Women’s Regional Architecture in 2017, UN Women has been reviewing its current organizational structure to further solidify its operating and implementation model in order to break silos and improve the delivery of our mandate in an integrated manner. These changes take place in a context of rapid change at global, regional and national levels for the UN development system, which UN Women is part of. As part of this change process, a Change Management team was created alongside the integrated Executive Office in order to enable a stronger Field, nimble and effective HQ, more efficient processes and better governance, supported by a modern and mature development organization. Under the supervision of the Change Management Advisor, and the secondary supervision of the Director SPRED, the Business Development Specialist is responsible for providing Technical Support to Corporate Decision Making through Data Analytics. Responsibilities include developing comprehensive, cross-cutting corporate analysis and decision-making tools through forward looking data modelling, forecasting and scenario planning; managing business intelligence, data management and reporting for strategic planning and organizational development purposes; coordinating with stakeholders across UN Women to reach consensus on data management and data analysis; and developing and disseminating knowledge management products in the area of corporate data analysis and management
Duties and Responsibilities
Develop comprehensive, cross-cutting corporate analysis and decision-making tools through forward looking data modelling, forecasting and scenario planning:
  • Identify data needs, data sources, data collection tools, performance targets and benchmarks, and assessment methodologies.

  • Develop corporate analysis and decision-making tools and/or provide technical advice on the integration of existing tools.

  • Provide technical support in the integration of data across different sources and systems to strengthen forecasting and data integration opportunities.

  • Provide technical data analysis and management support in the implementation of organizational efficiency and effectiveness interventions and initiatives.

  • Strengthen existing corporate structures and practices and contribute to organisational development efforts.

  • Create data models to allow for predictive business intelligence including forecasting and scenario planning.

Manage business intelligence, data management and reporting for strategic planning and organizational development purposes:
  • Provide business intelligence to strategy implementation, planning and monitoring of corporate change management initiatives.

  • Manage data requirements for reporting and analysis requests in consultation with the Change Management and the Strategy, Planning Resources, Effectiveness Division (SPRED) teams.

  • Manage data related projects as needed.

  • Manage the collation / quality assurance of quarterly business reporting (QBR) for the Business Review Committee.

Coordinate with stakeholders across UN Women to reach consensus on data management and data analysis:
  • Provide technical and coordination support to the creation of a networked and matrixed data analysis and business intelligence community within UN Women.

  • Provide technical inputs in the advancement of corporate change management including collaboration with existing change stakeholders and hands-on work on change implementation challenges towards the achievement of UN Women 2.0.

  • Provide capacity development support on data management and analysis as needed.

Develop and disseminate knowledge management products in the area of corporate data analysis and management:
  • Develop correspondence, reports, presentations and articles, including statistics and data visualization for internal clients.

  • Develop user guides and trainings on data management tools as needed.

Key Performance Indicators:
  • Corporate analysis and decision-making tools developed in close partnership with other teams and offices.

  • Timely provision of accurate data for analysis and reporting.

  • Data Management Project implementation are implemented on time, on scope and on budget.

  • Regular coordination and collaboration with other offices.

  • Knowledge products on data management and systems developed.

Competencies
Core values:
  • Integrity;

  • Professionalism;

  • Respect for Diversity.

Core Competencies:
  • Awareness and Sensitivity Regarding Gender Issues;

  • Accountability;

  • Creative Problem Solving;

  • Effective Communication;

  • Inclusive Collaboration;

  • Stakeholder Engagement;

  • Leading by Example.

Functional Competencies:
  • Proven affinity with UN Women’s mandate on gender equality and women’s empowerment

  • Strong analytical skills; ability to organize and strengthen processes

  • Strong knowledge of information technology platforms for data management, business intelligence, web applications and Software Development

  • Ability to work independently and manage multiple projects and deadlines simultaneously with a sense of urgency;

  • Ability to identify and analyze clients' needs and develop appropriate solutions to meet business requirements

  • Strong interpersonal skills, ability to communicate message to different audiences

Required Skills and Experience
Education:
  • Master’s degree in information technology, computer science, business Administration or other related discipline is required; a first-level university degree in combination with 2 additional years of qualifying experience may be accepted in lieu of the master’s degree.

  • APMG Prince2, MSP or similar certification an asset.

  • APMG Change Management (Foundation/Practitioner) or similar a strong asset.

  • Google Cloud Certified GSuite; Tableau; MS BowerBI Certifications an asset.

Experience:
  • At least 5 years of progressively responsible experience in data management, analysis and modeling with both quantitative and qualitative data required.

  • Proven experience in handling a Business Intelligence Suite (e.g. Google Data Studio, MS Power BI, Tableau or similar) required.

  • Experience systems analysis / business intelligence experience required.

  • Experience in data management in multiple diverse domains (i.e. not just in one domain e.g. HR, Procurement, Finance etc.) is preferred.

  • Experience in change management is preferred.

Languages:
  • Fluency in English is required.

  • Knowledge of the other UN official working language is an asset.

Application: All applications must include (as an attachment) the completed UN Women Personal History form (P-11) which can be downloaded from https://www.unwomen.org/-/media/headquarters/attachments/sections/about%20us/employment/un-women-p11-personal-history-form.doc?la=en&vs=558. Kindly note that the system will only allow one attachment. Applications without the completed UN Women P-11 form will be treated as incomplete and will not be considered for further assessment. Note: In July 2010, the United Nations General Assembly created UN Women, the United Nations Entity for Gender Equality and the Empowerment of Women. The creation of UN Women came about as part of the UN reform agenda, bringing together resources and mandates for greater impact. It merges and builds on the important work of four previously distinct parts of the UN system (DAW, OSAGI, INSTRAW and UNIFEM), which focused exclusively on gender equality and women's empowerment.
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