Data Analyst

at  United Nations Development Programme UNDP

Job Identification
17725
Locations
Manila, Philippines
Posting Date
04/19/2024, 11:59 PM
Apply Before
05/04/2024, 10:59 AM
Job Schedule
Full time
Agency

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Primary support for knowledge building and management focusing on achievement of the following results:

• Identification of sources of information related to programme implementation related issues;
• Identification and synthesis of good practices and lessons learned directly linked to the project;
• Support in maintaining an effective network with development partners and Government at national level and subnational level which includes conceptualization of and coordination for policy advocacy events;
• Conduct of quality assurance for all knowledge projects which includes checking technical soundness, compliance with UNDP knowledge product policies in terms of language, design, and protocols; and
• Sound contributions to knowledge networks and communities of practice

Education:

• Advanced university degree (Master’s degree or equivalent degree) in data science or closely related fields such as analytics, computer science, statistics, information technology, innovation or related area is required, or
• A first-level university degree (bachelor’s degree) in the areas mentioned above in combination with four (4) additional years of qualifying experience may be accepted in lieu of the advanced university degree

Experience:

• Minimum of two (2) years (with Master´s degree) or four (4) years (with Bachelor´s degree) of professional experience in data research, management and/or analytics.
• Proficiency in at least one programming language and/or data analytic tool
• Expertise in R, Python and/or SQL is an advantage
• Expertise in Tableau, Microsoft Power BI, and/ or Qlik Sense is an advantage
• Previous working experience with International organization and with government agencies is advantageous

Interpret and analyse data using appropriate statistical and analytical techniques focusing on achievement of the following results:

• Clean and manipulate raw data and prepare them for analysis;
• Conduct exploratory data analysis (identify variance within data, look at novel ways to examine the data to tell different stories, explore multiple datasets for trends or outliers);
• Highlight data trends and analytic opportunities that can drive program innovations;
• Communicate and present findings from data analysis to range of audiences, this includes supporting knowledge sharing activities with internal and external partners;
• Establish appropriate systems and processes with the team for managing, analysing and presenting data.
• Develop and implement databases, data collection system, data analytics and other strategies that optimize statistical efficiency and quality;
• Participate in planning and implementing capacity building activities focusing on the above themes which includes activity design, development of training materials, and participation as resource speaker; and
• Conduct data analysis and writing for policy publications. The Data Analyst will be working with the IAT Economist and other team members in these publications.

Support effective resource utilization and partnerships to enable timely and high-impact delivery focusing on achievement of the following results:

• Locate and define new process improvement opportunities;
• Develop recommendations for structuring and collecting data for program monitoring and evaluation;
• Identify new data sources and translate a range of datasets into easily accessible and useful information that supports program objectives e.g. through maps, dashboards, benchmarking techniques, BI tools, visualisation;
• Identify and collaborate with new potential partners of the project, and maintain productive relationships with existing partners, to ensure high impact delivery;
• Provide technical inputs in drafting terms of references (TORs), technical specifications, and/or programs of work; and
• Coordinate closely with project consultants, contractors, and suppliers and oversee their timeliness and quality.

Primary support for knowledge building and management focusing on achievement of the following results:

• Identification of sources of information related to programme implementation related issues;
• Identification and synthesis of good practices and lessons learned directly linked to the project;
• Support in maintaining an effective network with development partners and Government at national level and subnational level which includes conceptualization of and coordination for policy advocacy events;
• Conduct of quality assurance for all knowledge projects which includes checking technical soundness, compliance with UNDP knowledge product policies in terms of language, design, and protocols; and
• Sound contributions to knowledge networks and communities of practice.

Provide insights on and apply gender mainstreaming in all work, especially in data and knowledge management.
The incumbent performs other duties within their functional profile as deemed necessary for the efficient functioning of the Office and the Organization.
Competencies:

Core competencies:

• Achieve Results: LEVEL 1: Plans and monitors own work, pays attention to details, delivers quality work by deadline.
• Think Innovatively: LEVEL 1: Open to creative ideas/known risks, is pragmatic problem solver, makes improvements.
• Learn Continuously: LEVEL 1: Open minded and curious, shares knowledge, learns from mistakes, asks for feedback.
• Adapt with Agility: LEVEL 1: Adapts to change, constructively handles ambiguity/uncertainty, is flexible.
• Act with Determination: LEVEL 1: Shows drive and motivation, able to deliver calmly in face of adversity, confident.
• Engage and Partner: LEVEL 1: Demonstrates compassion/understanding towards others, forms positive relationships.
• Enable Diversity and Inclusion: LEVEL 1: Appreciate/respect differences, aware of unconscious bias, confront discrimination.

Cross-Functional & Technical competencies

Business Direction & Strategy

• System Thinking: Ability to use objective problem analysis and judgement to understand how interrelated elements coexist within an overall process or system, and to consider how altering one element can impact on other parts of the system.

Digital & Innovation

• Data analysis: Ability to extract, analyse and visualize data (including real-time data) to form meaningful insights and aid effective decision making.
• Data collection: Being skilled in data sorting, data cleaning, survey administration, presentation and reporting including collection of real-time data (e.g. mobile data, satellite data, sensor data).
• Data storytelling and communications: Skilled in building a narrative around a set of data and its accompanying visualizations to help convey the meaning of that data in a powerful and compelling fashion.
• Data governance: Knowledge of data science, skills to develop data management tools, organize and maintain databases and operate data visualization technologies.
• Digital business analysis: Ability to support digital business processes across a range of digital projects, programmes and activities.

2030 Agenda: Engagement & Effectiveness

• SDG integration: SDG monitoring and reporting

Required Skills and Experience:

Education:

• Advanced university degree (Master’s degree or equivalent degree) in data science or closely related fields such as analytics, computer science, statistics, information technology, innovation or related area is required, or
• A first-level university degree (bachelor’s degree) in the areas mentioned above in combination with four (4) additional years of qualifying experience may be accepted in lieu of the advanced university degree.

Experience:

• Minimum of two (2) years (with Master´s degree) or four (4) years (with Bachelor´s degree) of professional experience in data research, management and/or analytics.
• Proficiency in at least one programming language and/or data analytic tool
• Expertise in R, Python and/or SQL is an advantage
• Expertise in Tableau, Microsoft Power BI, and/ or Qlik Sense is an advantage
• Previous working experience with International organization and with government agencies is advantageous.

Required Languages:

• English and Tagalog