Data Analyst (Climate Budget Tagging)

Job Overview

Location
Islamabad, Islamabad
Job Type
Full Time
Date Posted
6 hours ago

Additional Details

Job ID
1760
Job Views
7
Work Mode *
On-site

Job Description

The Revenue Mobilisation, Investment and Trade (REMIT) is a multi-year (2021–2027) programme funded by the UK’s Foreign, Commonwealth and Development Office (FCDO) and implemented by Adam Smith International (ASI). REMIT provides technical assistance to the Government of Pakistan to strengthen macroeconomic stability, improve growth conditions, and enhance poverty reduction efforts.

A central part of this work is the development and institutionalisation of Climate Budget Tagging (CBT), which systematically classifies, tracks, and reports climate-relevant public expenditures at the federal and provincial levels. CBT aims to strengthen transparency, accountability, and alignment of public spending with Pakistan’s commitments under frameworks such as the IMF’s Resilience and Sustainability Facility (RSF), the Paris Agreement, and the Sendai Framework by promoting transparent, data-driven budgeting that supports resilient development outcomes.

Activity Context

The Government of Pakistan has prioritised transparent, accountable, and climate-resilient public financial management. As part of this agenda, REMIT is supporting the institutionalisation of CBT – a system for identifying, classifying, and reporting on climate-related public expenditures.

While federal-level tagging methodologies and reporting structures have been developed, a dedicated provincial and regional component is underway. The provincial budget tagging will engage with provincial finance departments, planning and development boards, and sectoral line departments to assess systems, capacities, and political economy factors. The outcome will be integrating CBT into provincial budgeting processes, enhancing climate-responsive planning, and ensuring alignment with national and international commitments.

Job Summary

The Data Analyst will support the REMIT team in extraction, cleaning, analysis, and visualisation of budget and expenditure data relevant to climate and gender tagging. The Data Analyst will also assist in preparing analysis, reviewing documentation, and reporting to ensure smooth implementation of the provincial Climate Budget Tagging activity.

Duties And Responsibilities

The roles and responsibilities of the Data Analyst include:

  • Extract relevant budgetary and financial data from public finance management (PFM) systems and databases
  • Maintain organised datasets on climate and gender budget tagging
  • Ensure data quality, accuracy, and consistency through validation and cleaning.
  • Conduct quantitative and qualitative analysis of budget allocations and expenditures with respect to climate and gender priorities
  • Assist in identifying trends, gaps, and inconsistencies in budget tagging data
  • Assisting translating complex datasets into actionable insights
  • Support in producing analytical reports on climate and gender budget allocations and expenditures.
  • Any other related tasks assigned.

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Qualifications And Experience

  • A minimum of 10-15 years of experience in data analytics, public finance, public financial management systems projects
  • Master’s degree in economics, computer science, statistics, data science or a related field.
  • Strong proficiency in data analysis tools and data visualisation tools
  • Good understanding of SAP system
  • Familiarity with public financial management systems and budget tagging methodologies
  • Understanding of climate and gender-responsive budgeting is an asset
  • Strong analytical, problem-solving, and communication skills
  • Excellent oral and written English.

Reporting

The consultant will report to the REMIT Macroeconomic Governance Component Lead.

LOE: 14 Days

Application and Deadline

Interested applicants should email their resume of not more than 2 pages under the subject Data Analyst – Climate Budget Tagging. The deadline to apply is 15 October, 2025.

Location

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