Collecting data is only as good as the system reading it. FairMoney wants someone who can run that system and make it sharper.
This is a full-time, fully remote role for a dialer administrator sitting inside FairMoney's collections and recovery sales team. The work is analytical and operational—you are optimizing outbound and inbound dialer campaigns using BigQuery, Tableau, and hands-on dialer system experience to drive better contact rates, agent productivity, and loan recovery outcomes.
About FairMoney
FairMoney is a Nigerian digital lending platform that delivers instant loans through a mobile app, with no paperwork or branch visits. Since launching in Nigeria, it has scaled into one of the more recognized names in the country's fintech lending space, operating at a volume that makes data infrastructure and collections performance genuinely consequential. The Collections and Recovery team that this role supports sits at the center of the company's financial sustainability.
What the Role Involves
This is not a generalist data analyst position. The work is specifically collections-focused, dialer-heavy, and requires someone comfortable operating at the intersection of data engineering and operational strategy.
Day to day, you will:
- Analyse outbound and inbound dialer performance, contact rates, hit rates, agent productivity, and recovery effectiveness
- Build and maintain Tableau dashboards for both operational teams and senior leadership
- Run advanced analysis on large-scale datasets using BigQuery and SQL
- Monitor daily, weekly, and monthly KPIs covering dialer efficiency, agent behaviour, calling strategies, and list intensity capping
- Identify trends and anomalies in collections data and translate them into operational recommendations
- Partner with Dialer Ops, Collections, Tech, and Product teams to adjust dialing logic and refine campaign strategy
- Support experimentation, pilots, and optimisation initiatives across active campaigns
- Maintain data accuracy and consistency across all reports and dashboards
What They Want
Must Have:
- 5 or more years of relevant experience in data analytics, preferably in collections, recovery, or contact centre environments
- Hands-on experience with dialer systems — predictive, power, preview, inbound, and outbound
- Advanced proficiency in BigQuery and SQL
- Strong Tableau skills, dashboard design, performance optimisation, and data storytelling
- Solid grasp of statistics and data modelling techniques
- The ability to present complex findings clearly to both technical and non-technical audiences
- Comfort working independently in a fast-moving environment
Nice to Have:
- Background specifically in loan collections or fintech recovery operations: the listing implies this strongly, but does not separate it as optional.
- Familiarity with CRM systems used in contact centre settings [VERIFY THIS]
Salary and Benefits
FairMoney has not disclosed a salary range for this role [VERIFY THIS].
For honest market context: dialer administrators and senior data analysts in Nigerian fintech with 5-plus years of experience and this tool stack typically earn in the range of ₦300,000 to ₦600,000 per month, depending on seniority and negotiation, though top-tier candidates at funded fintechs sometimes exceed this range. Some Nigerian fintechs operating at FairMoney's scale pay partially or fully in dollars for technical roles.
Remote work is confirmed. Whether the company provides equipment or a work-from-home stipend is not stated.
Is This Open to Nigerians?
Yes, explicitly. The listing states this is a Nigeria-based remote position. Nigerian professionals anywhere in the country can apply. Whether the role is open to Nigerians in the diaspora who maintain Nigerian residency is not clarified.
Payment will almost certainly be in naira given the Nigeria-specific framing, but confirm the currency and payment method during your interview.
How to Apply — Step by Step
- Visit FairMoney's application page on Workable at jobs.workable.com, search "FairMoney Dialer Administrator,” or navigate directly through the link on the listing.
- Prepare your CV. Tailor it specifically to dialer system experience, BigQuery work, and Tableau projects. Generic data analyst CVs will not perform well here.
- Complete the application form. This typically asks for your CV, basic personal details, and sometimes a few screening questions.
- Submit as soon as possible. No deadline is listed — roles with rolling applications at active fintechs can close without notice once a strong candidate pool forms.
Common mistakes to avoid:
- When applying with a CV that lists tools without showing outcomes, state what your Tableau dashboards tracked, what your BigQuery analysis changed, and what improved as a result
- Underselling dialer system experience; this is the most specialised requirement and the first thing a hiring manager will screen for
- Waiting. No deadline means no safety net.
Verdict
FairMoney is a real, funded Nigerian fintech with genuine scale. This is not a startup in name only. The Dialer Administrator role is niche enough that competition will be lower than a generic data analyst posting, but specific enough that under-qualified applications will not get far.
This is ideal for data analysts who have spent meaningful time in collections, contact centers, or loan recovery environments and can demonstrate hands-on BigQuery and Tableau output. If dialer systems are already part of your daily vocabulary, this role fits cleanly.
Who should skip it: If your analytics background is in e-commerce, marketing, or product analytics with no collections exposure, the gap is too wide to paper over in a CV. The role requires domain knowledge that is genuinely hard to fake.
One tip to stand out: In your CV or any application notes, name the dialer systems you have worked with by product — Genesys, Avaya, Five9, Convoso, or whatever applies to your history. Hiring managers in collections know these systems by name. Mentioning them specifically signals real experience faster than any job title will.
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