Zain Cash
FinTech
LeadDataAnalyst
Neural analysis suggests this role is
optimal for Lead candidates.
“Lead Data Analyst at Zain Cash. Skills: Data analysis, Fintech KPIs, BI tools. Lead data analysis initiatives. Define Fintech KPIs”
What You'll Achieve.
Transform data into strategic insights; Influence decision-making; Drive revenue protection; Drive optimization; Drive data monetization
Industry & Context.
Data-driven decision making
What They're Looking For.
Must Have
Bachelor's degree in Computer Science, Bachelor's degree in Data Science, Bachelor's degree in Statistics, Bachelor's degree in Finance, 5–7 years of experience in Data Analytics, Expert-level SQL skills, Experience with wallets, Experience with payment flows, Experience with cash-in/cash-out, Experience with reconciliation, Experience with collections, Experience working with large transactional datasets, Hands-on experience with BI tools
Nice to Have
Experience with Core Banking Systems, Experience with Digital Wallet Systems, Knowledge of revenue assurance, Knowledge of fraud analytics, Knowledge of risk analytics, Exposure to ETL pipelines, Exposure to data modeling, Experience contributing to data monetization initiatives, Leadership and ownership mindset, Excellent communication skills, Excellent stakeholder management skills, Ability to challenge existing processes using data, Comfortable presenting to senior management, Comfortable presenting to executives, High attention to detail, High accountability
What You'll Do.
Lead data analysis initiatives
Identify revenue leakage
Identify operational gaps
Identify optimization opportunities
Propose data-backed solutions
Oversee analysis of datasets
Design executive dashboards
Review executive dashboards
Design management reports
Review management reports
Ensure data consistency
Ensure data alignment
Support regulatory data requests
Enforce best practices
Contribute to data governance
Contribute to quality standards
Contribute to documentation
How You'll Work.
Team & Collaboration
Partner with Operations; Partner with Product; Partner with Risk; Partner with Finance; Partner with IT/Core Systems; Present to senior management; Present to executives
Communication Scope
Executive presentations; Stakeholder management
Full Job Description
We are seeking a highly experienced Lead Data Analyst to lead data analysis initiatives across our Fintech organization. This role is responsible for transforming transactional and operational data into strategic insights, influencing decision-making at leadership level, and driving revenue protection, optimization, and data monetization initiatives. ### Responsibilities * Lead and own company-wide data analysis initiatives related to payments, wallets, collections, and customer behavior * Define and track Fintech KPIs (transactions, revenue, failures, recovery, customer lifecycle) * Identify revenue leakage, operational gaps, and optimization opportunities and propose data-backed solutions * Partner with Operations, Product, Risk, Finance, and IT/Core Systems to drive data-driven change * Oversee analysis of high-volume financial and transactional datasets * Design and review executive dashboards and management reports * Ensure data accuracy, consistency, and alignment with business logic * Support audits, compliance, and regulatory data requests * Mentor and guide analysts and enforce best practices * Contribute to data governance, quality standards, and documentation **Requirements** * Bachelor’s degree in Computer Science, Data Science, Statistics, Finance, or related field * Minimum 5–7 years of experience in Data Analytics (Fintech, Banking, Payments preferred) * Expert-level SQL skills (Oracle preferred) * Strong understanding of wallets, payment flows, cash-in/cash-out, reconciliation, and collections * Experience working with large transactional datasets * Hands-on experience with BI tools (Power BI, Tableau, etc.) * Ability to translate data into executive-level insights ### Preferred Skills * Experience with Core Banking or Digital Wallet Systems * Knowledge of revenue assurance, fraud, and risk analytics * Exposure to ETL pipelines and data modeling * Experience contributing to data monetization initiatives * Strong leadership and ownership mindset * Exc
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