Natural Girl Wigs is a hair science lab that develops the famous ReXI™ Lab Made Hair and builds delightful hair brands that ride on the strength of our innovative ReXI Lab Made Hair technology. We bring ethical and stylish Instant Glam to millions of women worldwide.

We are recruiting to fill the position below:

Job Title: Data Analyst – Revenue Assurance Analyst

Location: Yaba, Lagos
Employment Type: Full-time

Job Overview

• We are looking for a Data Analyst to own 3 critical levers: fraud prevention, revenue assurance, and growth optimization. You won’t just report the numbers; you will hunt down anomalies, flag money launderers, and tweak our economy to ensure every Naira and Dollar is accounted for.
• This is not a “just build dashboards” role. You’ll be expected to find problems, quantify them, propose fixes, and measure impact.

Roles & Responsibilities

• Detect & Destroy: Build SQL queries and Python scripts to detect patterns of collusion, bot farming, bonus abuse, and structuring (smurfing) in real-time.
• Automated Alerting: Design and implement a “Early Warning System” that flags suspicious withdrawals or gameplay behavior before the money leaves the building.
• Compliance Monitoring: Track high-velocity low-value transactions to ensure we aren’t being used for money laundering, ensuring compliance with our AML frameworks.
• Leakage Control: Reconcile transaction logs daily. If the Payment Gateway says we received $5,000 but our DB says $4,950, you are the one who finds the missing $50.
• Economy Balancing: Analyze the “Rake” and “Entry Fees.” Are we giving away too much in Bonus Cash? Is the margin on the $1 tournament sustainable? You will do the math to tell us.
• Experimentation: Run A/B tests on deposit offers and withdrawal flows to maximize LTV without increasing risk.

Preffered Experience:

• Strong SQL skills (non-negotiable). Ability to write complex, optimized queries to dig through millions of transaction rows.
• Strong spreadsheet skills (advanced formulas, modeling, analysis)
• Strong Python/R skills for scripting. You can write a script to automate a daily risk report or trigger a Slack alert when a metric spikes.
• Solid understanding of: Funnels, cohorts, retention, LTV, and statistical concepts (not academic, but practical)
• Experience working with product analytics, revenue analytics, and fraud/risk/abuse detection systems
• Experience with visualization tools like Metabase, Tableau, or Mixpanel/Amplitude/PostHog.
• Consumer app/Gaming experience. You understand metrics like GGR (Gross Gaming Revenue), NGR (Net Gaming Revenue), RTP (Return to player), and ARPU.

Application Closing Date
27th February, 2026.