Org. Setting and Reporting

The Economic Commission for Africa's (ECA) mission is to deliver ideas and actions for an empowered and transformed Africa; informed by the 2030 Agenda and Agenda 2063. The mission will be guided by ECA's five strategic directions which are: Advancing ECA's position as a premier knowledge institution that builds on its unique position and privilege to bring global solutions to the continent's problems and take a local solution to the continent; developing macroeconomic and structural policy options to accelerate economic diversification and job creation; designing and implementing innovative financing models for infrastructure, and for human, physical and social assets for a transforming Africa; contributing solutions to regional and transboundary challenges, with a focus on peace security and social inclusion as an important development nexus; advocating Africa's position at the global level and developing regional responses as a contribution to global governance issues. The position is located in the Emerging and Frontier Technologies, Innovation and Digital Transformation Section of the Technology, Innovation, Connectivity and Infrastructure Development Division, United Nations Economic Commission for Africa, Addis Ababa, Ethiopia. The position is focused to generate and communicate data-driven analyses and insights in support of decision-making processes. The Data Analyst reports to the Chief of Emerging and Frontier Technologies, Innovation and Digital Transformation Section.

Responsibilities

Under the direct supervision of the Chief of Emerging and Frontier Technologies, Innovation and Digital Transformation Section, the Data Analyst will be responsible for the following duties: • Locate and define new data analysis process improvement opportunities • Develop data-driven recommendations and solutions to enhance the competitiveness and innovation of digital businesses in African countries. • Design and implement data collection strategies, data models, and analytical frameworks tailored to the specific needs of the African digital economy. • Identify appropriate data sources for analytics projects • Collaborate with data engineers and data scientists to improve data flows, data quality, etc. • Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality • Identify, analyze, and interpret trends or patterns, using basic machine learning techniques, statistical methods to identify relevant features and variables in structured and unstructured sources of information and data • Work closely with cross-functional teams to integrate data analytics into digital economy projects and initiatives. • Develop and implement various analysis, reporting and quality control capabilities • Performs other duties as required

Competencies

Professionalism: Excellent analytical skills with the ability to collect, organize, manage, and disseminate significant amounts of information with attention to detail and accuracy. Knowledge and understanding of theories, concepts and approaches relevant to data analysis and interpretation, development, and implementation of dashboards. in support of decision-making, and convey information succinctly to management. Adept at queries, report writing and presenting findings. Ability to quality-check work completed by other team members. Takes pride in the work for the organization and understands the impact that can be brought into the organization by allowing data-driven and evidence-based decisions. Ability to apply judgment in the context of assignments given, plan own work and manage conflicting priorities. Shows pride in work and in achievements; demonstrates professional competence and mastery of subject matter; is conscientious and efficient in meeting commitments, observing deadlines and achieving results; is motivated by professional rather than personal concerns; shows persistence when faced with difficult problems or challenges; remains calm in stressful situations. Takes responsibility for incorporating gender perspectives and ensuring the equal participation of women and men in all areas of work. The ability to analyze and interpret data in support of decision-making and convey resulting information to management. Creativity: Actively seeks to improve programmes or services; offers new and different options to solve problems or meet client needs; promotes and persuades others to consider new ideas; takes calculated risks on new and unusual ideas; thinks “outside the box”; takes an interest in new ideas and new ways of doing things; is not bound by current thinking or traditional approaches. Client Orientation: Considers all those to whom services are provided to be “clients” and seeks to see things from clients’ point of view; establishes and maintains productive partnerships with clients by gaining their trust and respect; identifies clients’ needs and matches them to appropriate solutions; monitors ongoing developments inside and outside the clients’ environment to keep informed and anticipate problems; keeps clients informed of progress or setbacks in projects; meets timeline for delivery of products or services to client.

Education

Advanced university degree (Master’s degree or equivalent) in computer science, data science, information technology, analytics, statistics, information management, public administration, management or a related field. A first-level university degree with a combination of two years professional experience and academic qualifications may be accepted in lieu of the advanced university degree. Successful completion of both degree and non-degree programs in data analytics, business analytics or data science programs is an advantage.

Job - Specific Qualification

Not available.

Work Experience

A minimum of five (5) years of progressively responsible experience in applied analytics, business intelligence, information management, statistics, project management, stakeholder management or related area is required. Experience in using data to inform decisions, strategies and execution is required. Experience with self-service analytics and data visualization applications (MS PowerBI, Qlik, Tableau or similar), or business intelligence tools (SAP Business Objects, etc.) is required. Experience in tools managing version control such as Git as well as in the design and implementation of enterprise data warehouse is desirable. Experience with database or programming languages (SQL, Python, R) is desirable.

Languages

Fluency in one of the working languages of the UN Secretariat, English or French, (both oral and written) is required; knowledge of the other is desirable. Knowledge of another UN official language is an advantage.

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