Data Analytics Officer

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About the Organization

UNICEF, originally the United Nations International Children's Emergency Fund, officially United Nations Children's Fund since 1953, is an agency of the United Nations responsible for providing humanitarian and developmental aid to children worldwide.

Job Description

Within the delegated authority and under the supervision of the Statistics and Monitoring Specialist or his/her designated mandated representative(s), the Data Analytics Officer will:

• Support the Statistics and Monitoring Specialist in leading any existing or new advocacy, training, workshops. consultation between UNICEF (evidence section and programme colleagues) and key government and NGO partners to discuss data gaps and way forward with respect to SDGs monitoring at national level (e.g., statistical divisions and working groups inline ministries, NITI, ILO, RCO, other UN agencies)
• Manage and maintain UNICEF SDG dashboard (in Powe Bi) with regards to new child-related SDG data source and reports as and when made available.
• Conduct multisectoral equity analysis relevant for UNICEF sectors using large scale data sources and prepare technical briefs, presentations*/infographics and factsheets as per theneed. e.g. NFHS, SRS, U- DISE, MIS, POSHAN, etc.)
• Support in presentation for external meetings with GoI and note down key recommendations.
• Coordinate with KM focal point and maintain data repository on UNICEF ECM portal with respect to Data Analytics
• Support in updating the UNICEF Regional /Global Database with respect to key SDGs indicators
• Coordinate with program sections and consolidate Evidence for Children Data action plans for ICO
• Support in preparing briefs and concept note leveraging frontier technology for achieving outcomes for children (Technology, Big Data, AI)
• Any other tasks as deemed appropriate by the Statistics & Monitoring Specialist based on interest and need.

Furthermore, UN Volunteers are encouraged to integrate the UN Volunteers programme mandate within their assignment and promote voluntary action through engagement with communities in the course of their work. As such, UN Volunteers should dedicate a part of their working time to some of the following suggested activities:

• Strengthen their knowledge and understanding of the concept of volunteerism by reading relevant
• UNV and external publications and take active part in UNV activities (for instance in events that mark International Volunteer Day);
• Be acquainted with and build on traditional and/or local forms of volunteerism in the host country;
• Provide annual and end of assignment self-reports on UN Volunteer actions, results and opportunities.
• Contribute articles/write-ups on field experiences and submit them for UNV publications/websites, newsletters, press releases, etc.;
• Assist with the UNV Buddy Programme for newly-arrived UN Volunteers;
• Promote or advise local groups in the use of online volunteering or encourage relevant local individuals and organizations to use the UNV Online Volunteering service whenever technically possible.

Results/expected outputs:

• As an active UNICEF team member, efficient, timely, responsive, client-friendly and high-quality support rendered to UNICEF and its beneficiaries in the accomplishment of her/his functions, including:

For the Data Pillar, the expected results from the NUNV are:

• Quality and dissemination of evidence, supported by the Data Analytics Pillar, is improved; evidence is more relevant, accessible, evidence products are more engaging and appealing
• Internal knowledge sharing and capacity around evidence generation, supported by the Data Analytics Pillar, is improved; webinars/seminars, training sessions, resources are accessible, engaging and useful
• External knowledge sharing and partnership building around evidence, supported by the Data Analytics Pillar, is improved
• Knowledge of the key development and evidence issues related to children in India
• Improved design and knowledge management skills, through learning by doing
• Strong knowledge of the policies, processes, guidelines and norms that guide evidence generation at UNICEF globally and specifically at UNICEF India
• Strong understanding of how evidence can be used for advocacy and to influence decision-making, for the well-being of children and their families
• Building a network internally with UNICEF India programme staff, as well as externally, with organizations/institutions in India (and internationally).

Education Qualification/Required Skills & Experience

• Master's degree in Social Sciences, Economics, Public Health, Population Studies, Data Science, Statistics, Social Work or related subjects.

Skills and experience

• Minimum of 3 years’ relevant work experience, progressively responsible at national and/or international levels in evidence generation activities and data analysis.
• Demonstrated experience in statistical analysis and visualization of datasets for policy advocacy, using software such as Stata, R, Python, Power Bi or Tableau.
• Highly organized, self-motivated, and dedicated individual, who hold him/herself to a high standard, and who works extremely well with others, especially people who may not have an in-depth understanding of data.
• Highly organized, self-motivated and dedicated individual, who hold him/herself to a high standard
• Excellent interpersonal skills; culturally and socially sensitive; ability to work inclusively and collaboratively with a range of partners, including academia, implementing partners and government
• Ability to work and adapt professionally and effectively in a challenging environment; ability to work effectively in a multicultural team of international and national personnel;
• Solid overall computer literacy, including proficiency in various MS Office applications (Excel, Word, etc.) and email/internet; familiarity with database management; and office technology equipment;
• Self-motivated, ability to work with minimum supervision; ability to work with tight deadlines;
• Fluency in English (verbal and written).

Languages

• English, Level: Fluent, Required
• Hindi, Level: Working knowledge, Desirable

For more information please check the Link

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