data. Consolidate data from multiple sources including operations, marketing, and source databases to create integrated views that can be used to drive decision-making.

Work closely with the data engineering team to enhance and optimize the data warehouse infrastructure.

Develop variable tools for stakeholders to boost operational working efficiency.

Build and implement data visualization of reports and dashboards for management and business users.

Critically evaluate and define business metrics; develop the analysis that leads to actionable insights to support the continuous improvement of the Retail Finance business.

Requirements

Bachelor's degree and above in Computer Science/Engineering, Statistics, Business Analytics, Information Technology, Finance/ Banking, Statistics and other related fields.
Open to candidates across experience levels, including entry-level and experienced professionals.
Skilled in SQL and Python is Mandatory.
Have critical thinking and structured problem-solving capabilities.
Being able to work well with cross-functional teams in a fast-paced environment.
Basic accounting/finance knowledge is preferred.
Experience in the finance/banking industry is a plus.
Experience in business intelligence and analytics in e-commerce is a plus.

19:T7b2,Job Description

Partner with regional Growth, Marketing, and Product teams to uncover opportunities that drive user acquisition, engagement, retention, and business growth.
Analyze customer behavior, user journeys, and market trends to generate actionable insights and support strategic decision-making.
Develop customer segmentation, cohort analyses, and behavioral insights to identify growth opportunities across different user groups and regional markets.
Design, execute, and evaluate A/B tests and experiments, translating findings into recommendat

Data Analyst - Credit, Business Intelligence Engineering

CRM Data Analyst - Monee Credit