Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 23 days ago

Public Financial Management Data Analytics Manager

Workable (global search)108,016 open roles

Where
Kampala, Central Region, Uganda
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowPublic Financial Management Data Analytics ManagerWorkable (global search) · Kampala, Central Region, Uganda

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Workable (global search)'s own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 7 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 23 days ago

Workable (global search) median: 7 days open

The posting

Position Summary

The PFM Data Analytics Manager will provide specialized analytical and managerial support for public financial management (PFM), fiduciary risk, and G2G verification activities in Uganda. Reporting to the Director of Data and Information Systems, the Manager will work closely with the Lead, Health Sector PFM & Fiduciary Risk Assessment, translating PFM, financial, HRIS, and program data into actionable evidence on fund flows, disbursement, expenditure, performance, and risk at national and subnational levels. The role will lead desk-based PFM data analysis, triangulate existing assessments and reviews with project verification results, identify areas requiring additional risk assessment or review, and support verification teams to use financial and administrative data consistently and rigorously.

Responsibilities

Technical and thought Leadership (60% of LOE)

  • Support the verification process by conducting timely analysis of PFM, financial, HRIS, and related administrative data from national and subnational information systems.
  • Analyze G2G fund disbursements and fund flows from national to subnational levels, highlighting delays, bottlenecks, unusual patterns, and discrepancies that require follow-up.
  • Reconcile disbursements and expenditures with agreed activities, milestones, and verified project results, and document material variances for review by the PFM Lead and project leadership.
  • Triangulate existing PFM, fiduciary, audit, institutional, and capacity assessments with current system data and project verification findings to identify evidence gaps and areas that may require additional assessment or field review.
  • Conduct desk reviews of PFM-related evidence and prepare practical analytical outputs such as fund-flow summaries, reconciliation tables, exception reports, risk flags, and national/subnational comparisons.
  • Work with the PFM Lead and Director of Data and Information Systems to identify which issues can be verified through central systems and desk review and which should be referred for targeted onsite verification.

Strategy, Representation and Organizational development (20% of LOE)

  • Support development and refinement of practical analytical tools, templates, dashboards, and data-extraction procedures for PFM analysis and verification, using existing government and project systems wherever possible.
  • Participate, as assigned, in technical discussions with government counterparts and project teams to explain analytical findings, clarify data issues, and support follow-up actions.
  • Contribute PFM and financial analytics to project planning, verification approaches, reports, learning products, and improvements to routine data and information systems.
  • Participate in relevant national technical working groups as requested.

People and Project Management (20% of LOE)

  • Supervise and coach analysts and verification team members assigned to PFM-related desk review and field verification tasks, with clear work assignments and quality checks.
  • Train verification teams on financial and HRIS data interpretation, reconciliation methods, source-document review, evidence standards, and documentation of discrepancies.
  • Coordinate with verification and data teams so that financial findings are compared with health service delivery and health systems results and unresolved discrepancies are followed up.
  • Maintain organized analytical files, evidence logs, and audit trails and support timely completion of assigned PFM analytics and verification deliverables.
  • Other duties as assigned.

We are:

ThinkWell core values are our fundamental organizational guiding principles. They define our corporate culture, influence our behavior at work, and help us achieve our mission. Our values are:

Think big

Influence the conversation

Empower others

Be exceptional

Always question

Relate authentically

Evolve by learning

You are:

ThinkWell core competencies are foundational skills and behaviors that align with our values and are expected of all employees.

An entrepreneurial, results-oriented ‘do-er’ willing to take risks, think big, and challenge conventional wisdom.

A change maker who reaches independent judgment with an open mind influences the conversation and seeks innovation.

Able to help create an empowering environment where everyone feels free to take initiative, be accountable, and fail intelligently (learn from mistakes).

A collaborative colleague who engages constructively with people from different cultures, orientations, and perspectives and maintains positive relations in a virtual world.

Principally motivated by a growth mindset, meaning the pursuit of knowledge, experience, and self-improvement. You constantly question and continuously learn.

Authentic, honest, direct, self-aware, and open to giving and receiving feedback.

Requirements

  • Bachelor's degree in economics, finance, accounting, statistics, data science, information systems, public policy, public health, or a related field; a relevant master's degree is an advantage.
  • At least 5 years of relevant experience in financial analysis, PFM, public finance, health financing, data analytics, government systems, audit, verification, or related work.
  • Practical experience working with government financial, administrative, or HRIS data. Familiarity with Uganda systems such as IFMIS, PBS, HCM/HRIS, or related platforms is an advantage; direct experience with every system is not required.
  • Strong Excel and data-analysis skills, including the ability to reconcile datasets, identify discrepancies, summarize trends, and produce clear tables and visualizations. Experience with Power BI, STATA, R, Python, SPSS, or similar tools is an advantage.
  • Ability to review and synthesize assessments, audits, financial records, and program results and translate them into clear evidence gaps, risk flags, and practical follow-up questions.
  • Experience supervising, coaching, or training small teams involved in data review, verification, audit, monitoring, or fieldwork.
  • Strong written and verbal communication skills and ability to work effectively with technical teams and government counterparts. Full professional fluency in English is required.
  • Ability and willingness to travel within Uganda as needed for targeted verification, supervision, and technical support.
From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Workable (global search)'s own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Workable (global search)'s form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Workable (global search)'s answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.