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Monitoring and Evaluation (M&E) Data Analyst


  • Organization: SPC - Pacific Community
  • Location: Suva
  • Grade: Junior level - Junior
  • Occupational Groups:
    • Statistics
    • Information Technology and Computer Science
    • Monitoring and Evaluation
  • Closing Date: Closed
  • Attractive local package
  • Friendly and supportive team environment
  • Join the principal development organisation in the region


The Pacific Community (SPC) is the principal scientific and technical organisation in the Pacific region, supporting development since 1947. We are an international development organisation owned and governed by our 27 country and territory members. In pursuit of sustainable development to benefit Pacific people, our organisation works across more than 25 sectors. We are known for our knowledge and innovation in such areas as fisheries science, public health surveillance, geoscience, and conservation of plant genetic resources for food and agriculture. 

The Human Rights and Social Development Division has a vision for just, equitable and resilient Pacific societies and it aims to achieve this by advancing human rights, equality and social inclusion for all Pacific people, grounded in cultural values and principles.The work of this Division includes work previously undertaken by the Regional Rights Resource Team (RRRT) in the area of human rights and the Social Development Programme (SDP) in the areas of gender equality and social inclusion, culture and youth development. 

In line with its vision, the work of the Division will encompass the following focal areas:

  • Objective 1: Governance for human rights and social development: Strengthen inclusive, transparent and active governance for human rights and social development.
  • Objective 2: Gender equality and social inclusion: Mobilise, empower, and build conditions for gender equality, equity and social inclusion in society and development.
  • Objective 3: Culture: Promote, preserve and protect positive expressions of culture.
  • Objective 4: Social innovation and learning: Enhance knowledge, learning and innovative solutions to accelerate impact on human development priorities. 

The Monitoring and Evaluation (M&E) Data Analyst will be responsible for the data collection, management including collation, entry/storage, and verification and quality assurance for HRSD reporting purposes. The Analyst will collaborate and support the monitoring and reporting officer, knowledge management adviser and the information, communications and visibility in providing precise, timely facts and figures aligned and drawn from the databases and information platforms established within the HRSD division and SPC. 

The key responsibilities of the role include: 

Monitoring and Evaluation, data, and information management

  • Establish, manage, and maintain HRSD database of activity reports, aligned with the established project results indicators and its contributions to the HRSD Business Plan results indicators, and ultimately SPC Strategic Plan Key Focal Areas (KFAs).
  • Collect, consolidate, and store data (in hard copy, and soft copy form generated from various sources) from HRSD regional and in-country activities linking the data/information to the project-divisional-and corporate results indicators of outputs and outcomes. 

Contribute to and support donor and SPC Corporate reporting

  • Support HRSD management with the preparation of various reports such as project reports to donors and the division’s contributions to corporate reporting against the SPC/SPL Strategic Plan in collaboration with the HRSD Monitoring and Reporting Officer.
  • Extract from the database and compile MEL data as basis for HRSD reports submitted to donors and SPC corporate. This will be jointly accomplished with the HRSD monitoring and reporting officer. 

MEL support to HRSD capacity building activities

  • Provide support to the MELKMC unit with the preparation of MEL instruments, templates, and forms.
  • Provide timely support in the conduct of MEL related events and activities. Provide guidance in the use of various MEL forms and templates, and those others that are required by the HRSD implementation teams in the conduct of various events, reviews and evaluations, and training/capacity building activities, etc. 

For a more detailed account of the key responsibilities, please refer to the online job description.



Key selection criteria 


  • Degree in a relevant field such as information management, finance/ administration, business studies, or development management, monitoring and evaluation 

Technical expertise 

  • At least 3-5 years of experience in data/information management for monitoring results of development projects
  • Experience in analysing and synthesizing information for meaningful reporting
  • Demonstrated attention to detail and multitasking skills
  • Proven ability to meet deadlines and flexible approaches to problem solving with demonstrated experience in setting priorities
  • Skilled user of databases for entering, processing/cleaning, analysing, and extracting data
  • Computer literacy including ability to use MS Excel to advanced level, as well as MS Outlook, MS Word, and MS PowerPoint including SCL in computing 

Language skills 

  • Excellent English communication skills (oral and written) 

Interpersonal skills and cultural awareness 

  • Ability to work in a multicultural, inclusive and equitable environment 

Salary, terms and conditions

Contract Duration – This vacant position is budgeted for 3 years 

Remuneration – The Monitoring and Evaluation (M&E) Data Analyst is a Band 7 position in SPC’s 2022 salary scale, with a commencing taxable salary range of 2,232-2,790 per month, plus local staff benefits. An offer of appointment for an initial contract will normally be made in the lower half of this range, with due consideration given to experience and qualifications. Progression within the salary scale will be based on annual performance reviews. 

Recruitment principles – SPC’s recruitment is based on merit and fairness, and candidates are competing in a selection process that is fair, transparent and non-discriminatory. SPC is an equal-opportunity employer, and is committed to cultural and gender diversity, including bilingualism, and will seek to attract and appoint candidates who respect these values. Due attention is given to gender equity and the maintenance of strong representation from Pacific Island professionals. If two interviewed candidates are ranked equal by the selection panel, preference will be given to the Pacific Islander

Applicants will be assured of complete confidentiality in line with SPC’s Privacy Policy.

Application procedure 

Closing Date – 29 January 2023 at 11:59pm (Fiji time)

Job Reference: JM000388 

Applicants must apply online at

Hard copies of applications will not be accepted.

For your application to be considered, you must provide us with:

  • an updated resume with contact details for three professional referees
  • a cover letter detailing your skills, experience and interest in this position
  • responses to all screening questions

Your application will be considered incomplete and will not be reviewed at shortlisting stage if all the above documents are not provided. Applicants should not attach copies of qualifications or letters of reference. Please ensure your documents are in Microsoft Word or Adobe PDF format.

SPC does not charge a fee to consider your application and will never ask for your banking or financial information during the recruitment process.

Only Fijian citizens are eligible to apply for this role.

Screening Questions (maximum of 2,000 characters per question):

  1. Why is monitoring, evaluation and learning (MEL) important for an organization like SPC?
  2. Please describe your approach in ensuring that large volumes of data from multiple data sources are error-free and credible? Please provide a stepwise approach illustrating the process. What are some of the challenges you could face?
  3. Please share at least 2-3 samples of your work (either a copy of the report or presentation material) that utilized data that you have analysed and presented


This vacancy is now closed.
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