Data Intelligence Lead, Fintech

Optasia; Dubai; On-site; AED 90,000 - 120,000; Full time

Benefits offered by this job

Competitive remuneration package

Extra day off on your birthday

Performance-based bonus scheme

All tech gear you need

Continuous training access

Job summary

Optasia in Dubai is seeking a skilled Data Analyst to oversee customer value management and marketing campaigns. The role involves analyzing regional market data to inform product and campaign strategies and requires substantial hands-on experience in data analytics within the fintech sector.

Ideal candidates will have a Bachelor's or Master's degree in relevant fields with 4–6 years of experience in CVM campaigns. Optasia offers competitive remuneration, additional days off, and continuous learning opportunities.

Qualifications

• 4–6 years of data analytics and CVM experience, preferably within fintech, telecom, or banking sectors.
• Hands-on experience designing and executing CVM or upsell/cross‑sell campaigns with measurable commercial outcomes.
• Solid understanding of cohort analysis, funnel metrics, customer lifetime value, and campaign attribution.

Responsibilities

• Build and maintain a deep analytical understanding of regional markets and user base.
• Design, build, and own end‑to‑end CVM campaigns.
• Monitor campaign performance in real time and iterate based on results.
• Produce regular performance dashboards for internal stakeholders.

Skills

Data analytics

CVM campaign management

Cohort analysis

SQL

Python

R

Tableau

Power BI

Education

Bachelor’s or Master’s degree in Business Analytics, Data Science, Computer Science, Engineering, Statistics, Economics, or related field

Job description

About the Company

Optasia is a fully‑integrated B2B2X financial technology platform covering scoring, financial decisioning, disbursement, and collection. With 39 countries and 7 regional offices, we provide a versatile AI platform that powers financial inclusion, delivers responsible financing decision‑making, and drives a superior customer experience.

Responsibilities

• Build and maintain a deep analytical understanding of regional markets, user base, cohort behavior, loan uptake, ARPU, ADPU trends, repayment patterns, and eligibility utilization rates.
• Identify gaps between addressable market size and current penetration across product types, customer segments, and geography; benchmark performance across markets to surface best practices and underperforming areas.
• Track market‑level signals, subscriber data, macroeconomic indicators, and competitor activity to anticipate shifts in demand or risk.
• Analyze customer behavior and market gaps to recommend new products or pricing suitable for the region, and work with Product and Technology teams to incorporate regional requirements into product roadmaps.
• Design, build, and own end‑to‑end CVM campaigns: segmentation, messaging, channel, timing, and offer.
• Drive campaigns aimed at increasing active user share, improving loan frequency, reducing dormancy, and reactivating borrowers.
• Define success metrics, run A/B tests, and continuously improve campaign effectiveness.
• Monitor campaign performance in real time, report outcomes against KPIs, and iterate rapidly based on results.
• Manage the campaign calendar across the regional portfolio.
• Produce regular performance dashboards and narrative reports for internal stakeholders covering revenue, disbursements, cohort KPIs, and campaign outcomes.
• Support the regional Commercial teams with data‑driven insights during negotiations and strategy; flag underperforming deployments early, diagnose root causes, and propose corrective actions.

Qualifications

• Bachelor’s or Master’s degree in Business Analytics, Data Science, Computer Science, Engineering, Statistics, Economics, or a related field.
• 4–6 years of data analytics and CVM experience, preferably within fintech, telecom, or banking sectors.
• Hands‑on experience designing and executing CVM or upsell/cross‑sell campaigns with measurable commercial outcomes.
• Solid understanding of cohort analysis, funnel metrics, customer lifetime value, and campaign attribution.
• Proficiency in analytics tools such as SQL, Python, R, Tableau, and Power BI.

Benefits

• Competitive remuneration package.
• Extra day off on your birthday.
• Performance‑based bonus scheme.
• All the tech gear you need to work smart.
• Continuous training and access to online training platforms.