FairMoney is Hiring a Remote Dialer Administrator

FairMoney is hiring a remote Dialer Administrator for its Collections & Recovery team in Nigeria. BigQuery, SQL, Tableau, and 5+ years of dialer system experience required. If your queries run on production collection data and your dashboards influence how hundreds of agents dial daily, this role was built for you.

About FairMoney

FairMoney launched in Nigeria in 2017 as a digital microcredit app and has since expanded into current accounts, savings, debit cards, and POS solutions for merchants and agents. The company has raised nearly €50 million from Tiger Global, DST, and Flourish Ventures. It operates internationally with offices in Lagos, Paris, Bangalore, and Riga and employs a team drawn from over 27 nationalities. The Collections & Recovery team, in which this role sits, is central to FairMoney’s lending health. It is a high-stakes, high-visibility function.

What the Role Actually Involves

This is not a generic analytics role with a dialer keyword attached. The work is specific and technical:

• Analyse outbound and inbound dialer campaign performance, contact rates, hit rates, and list intensity to determine what is working and what is not.
• Build and maintain Tableau dashboards consumed by both operations managers and senior leadership; these must tell a clear story, not just display numbers.
• Run advanced SQL queries in BigQuery against large-scale collections and dialer datasets to identify patterns, anomalies, and actionable trends.
• Monitor daily, weekly, and monthly KPIs covering dialer efficiency, agent behavior, and calling strategy effectiveness.
• Partner with Dialer Ops, Collections, Tech, and Product teams to translate analytical findings into actual dialling logic changes
• Support A/B experiments, campaign pilots, and optimisation initiatives.
• Maintain data accuracy and consistency across all reporting outputs.

You are the analytical connective tissue between the dialer system, the collections agents, and leadership. What you find in the data shapes how the team operates.

What They Want

Must Have:

• 5+ years of experience in data analytics, collections, recovery, or contact centre environments are the target backgrounds.
• Hands-on experience with dialer systems: predictive, power, preview, inbound, and outbound. The specific platform FairMoney uses is not stated.
• Advanced SQL and BigQuery proficiency, production-level comfort on large datasets, and familiarity with coursework.
• Strong Tableau skills, dashboard design, performance optimisation, and presenting data as a narrative.

Nice to Have:

• Deep statistical knowledge and data modelling experience
• Strong communication across both technical and non-technical audiences is what this role presents to leadership.
• Comfort working autonomously without hand-holding

Worth noting: No minimum degree is specified. Experience and demonstrated technical skill are the primary evaluation criteria.

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Salary and Benefits

FairMoney does not disclose the salary for this role. For market context: senior and specialized analytics roles in Nigerian fintech currently pay ₦500,000 to ₦1.8 million monthly, depending on seniority. This role requires 5+ years, two enterprise-grade tools in BigQuery and Tableau, plus niche dialer system expertise. A reasonable expectation at this level in a well-funded fintech would be ₦600,000–₦1,200,000 per month gross. The listed benefits:

• Private Health Insurance provider not disclosed.
• Pension Plan (PENCOM-compliant) administrator not disclosed.
• Paid Time Off
• Work From Home — full remote
• Training & Development

No equipment allowance, home office stipend, or internet allowance is mentioned.

Is This Open to Nigerians?

Yes, and exclusively. The role is listed as Remote, Nigeria. It is for Nigeria-based candidates only, paid in naira. No international pathway exists for this position.

FairMoney is a Nigerian-licensed microfinance bank and a significant employer in the Lagos fintech ecosystem, even for remote staff. If you are outside Lagos but within Nigeria, the fully remote structure means your location is not a barrier.

How to Apply

1. Go to the listing:
2. Submit your application, a CV, and likely responses to application questions.
3. If shortlisted, expect a 30-minute screening call with a talent acquisition team member.
4. Successful candidates proceed to a 45–60 minute technical interview with the dialer administrator team lead, which tests SQL, BigQuery, Tableau, and dialer system knowledge directly.
5. Final candidates attend a 45–60 minute interview with the dialer manager; expect questions about strategy, stakeholder communication, and how you have driven operational outcomes with data.

Common mistakes to avoid:

Applying with a generic analytics CV. This role has a specific tool stack: BigQuery, SQL, Tableau, and dialer systems. Each must appear on your CV with context showing production-scale use, not coursework or personal projects.

Failing to quantify your dialer experience. “Managed outbound campaigns” is weak. “Improved contact rates from 34% to 51% by restructuring list intensity and calling windows on a predictive dialer across 120 agents” is what gets you to the technical interview.

GizPulse Verdict

The tool requirements narrow the field significantly, which works in your favour if you qualify. The five-year requirement is real. This is not an entry or mid-level position with a senior title.

FairMoney is a legitimate operator in Nigerian fintech with strong institutional backing and real market traction. The fully remote structure is a genuine benefit, and collections analytics is a durable specialisation demand for this skill set does not disappear when hiring cycles tighten.

Go into the screening call knowing your number. Based on the role’s seniority and tool requirements, anything below ₦600,000 per month gross at a funded fintech is worth pushing back on.

Who this is perfect for: A Nigerian data professional with 5+ years in a contact centre or collections analytics function, who has owned dialer campaign performance, not just reported on it, and who can walk through a BigQuery query and a Tableau dashboard in the same breath.

One tip to stand out: During the technical interview, do not just answer what they ask; volunteer an insight. Something like, “In my last role, I noticed our hit rate dropped on Fridays after 3pm, so I adjusted list prioritisation for that window and recovered 18% of missed contacts.” That is the dialer thinking they are hiring for. Show you have already been doing this job, not just preparing for it.