Data Analyst

Sanso H; United Arab Emirates; On-site; AED 80,000 - 120,000; Full time

Job summary

Sanso H in the United Arab Emirates is looking for a Data Analyst and Visualiser to turn transaction, customer, and risk data into actionable insights for digital banking and fraud prevention. This full-time role requires a Bachelor's or Master's degree, along with 2-4 years of relevant experience in the banking or payment card industry. Candidates should be proficient in SQL and skilled in Tableau or Power BI. Working hours are Monday to Friday, from 7:30am to 5:30pm, on-site.

Qualifications

• 2-4 years of experience in banking/payment card industry, specifically in fraud risk or data analytics roles.
• Experience with card processing systems (e.g., Visa rules).
• Strong analytical skills to offer data-driven insights.

Responsibilities

• Analyze high-volume card transaction data to identify patterns and fraudulent activity.
• Create real-time dashboards for monitoring performance and risks.
• Ensure compliance with regulatory standards (e.g., KYC, AML).

Skills

SQL proficiency

Data visualization (Tableau, Power BI, Looker)

Fraud risk analysis

Digital analytics tools (Firebase, Google Analytics)

Education

Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or Finance

Tools

Tableau

Power BI

Looker

Python

R

Job description

(Banking & Card Industry, Digital Banking, Risk and Fraud Management)

A Data Analyst and Visualiser in the banking, card, and digital banking industry is responsible for turning vast amounts of transaction, customer, and risk data into actionable insights through sophisticated data modeling and interactive visualization. They bridge the gap between complex data sets and strategic decision-making, specifically focusing on fraud prevention, risk management, and digital product performance.

• Transaction Analysis: Analyze high-volume card transaction data to identify patterns, anomalies, and fraudulent activity (e.g., card testing, fraudulent refunds).
• Risk Evaluation: Build, validate, and maintain predictive risk models and scorecards to assess credit or operational risk, using techniques such as regression and clustering.
• Digital Behavior Mapping: Analyze user behavior within mobile banking apps and digital products using tools such as Firebase or AppsFlyer to enhance user experience (UX) and engagement.
• Performance Monitoring: Track KPIs related to fraud rates, authorization rates, chargebacks, and digital growth.

Data Visualization and Reporting

• Interactive Dashboards: Create real-time, interactive dashboards to monitor business performance and risk trends.
• Data Storytelling: Convert complex financial datasets into clear, actionable reports for senior management and stakeholders to drive decision-making.
• Develop systems for real-time transaction monitoring and fraud prevention. Visualization Automation: Automate weekly/monthly performance decks and MIS reporting, reducing manual effort and improving efficiency.
• Rules Optimization: Develop, test, and optimize fraud rules (e.g., threshold setting) to balance security with customer experience.
• Investigations Support: Analyze suspicious transactions and provide detailed insights to fraud investigation teams to stop ongoing fraud attacks.
• Compliance Monitoring: Ensure data reporting aligns with regulatory standards (e.g., KYC, AML, Basel III).

Education & Experience Requirement

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or Finance.
• Min. 2-4 years of experience in banking/payment cards industry, specifically in fraud risk or data analytics roles.
• Experience with card processing systems (e.g., Visa rules) or digital banking analytical tools (Firebase, Google Analytics).
• Strong proficiency in SQL to extract and manipulate data from relational databases and data warehouses.
• Expert skills in Tableau, Power BI, or Looker.
• Familiarity with Python or R for data cleaning, statistical modeling, and automation.
• Department: Accounts & Finance
• Role: Data Analyst and Visualiser
• Employment Status: Full time (On-Site)
• Duty Hours: 7:30am - 5:30pm (Including Lunch Break). Depending upon projects and timelines meeting, employees might be asked to stay for long. (No overtime). Roasters (day shift Or Night Shifts)
• Working days: Monday To Friday (Saturday & Sunday is off)