Business Analyst

Maya; Mandaluyong; On-site; PHP 800,000 - 1,200,000; Full time

Job summary

Maya is seeking a results-oriented Business Analyst to support their Lending and Credit Card business groups. This role requires strong analytical skills to drive insights for campaign analysis and customer profiling, enabling informed, data-driven decisions. Candidates should have a quantitative degree and at least 5 years of experience in a data analytics role, with proficiency in SQL and data visualization tools.

Qualifications

• 5 years of experience in data analytics or business intelligence.
• Experience in fintech, banking, or financial services preferred.
• Hands-on experience in campaign performance analysis.

Responsibilities

• Analyze performance of acquisition, upsell, and retention campaigns.
• Build and maintain base lists using business rules.
• Develop data-driven customer profiles and behavioral clusters.

Skills

Analytical skills

Stakeholder engagement

Data visualization

Customer Segmentation

SQL

Python

R

Education

Bachelor’s degree in Statistics, Mathematics, Economics, Engineering, Computer Science or related quantitative field

Tools

Tableau

Power BI

Job description

About the job

We are looking for a results-oriented Business Analyst with hands-on analytics experience to support our Lending and Credit Card business groups. This role will play a key part in driving campaign analysis, customer profiling, and portfolio growth insights that help business units make informed, data-driven decisions. The role will require strong analytical skills, business understanding, and stakeholder engagement.

What you will do:

• Analyze performance of acquisition, upsell, and retention campaigns for lending and credit card products; derive actionable insights and recommendations to optimize targeting and messaging.
• Build and maintain base lists using business rules and segmentation logic for campaigns.
• Develop data-driven customer profiles and behavioral clusters.
• Use historical data, seasonality, and business levers to project expected growth trends for user base, disbursements, and card-in-force metrics.

What we are looking for:

• Bachelor’s degree in Statistics, Mathematics, Economics, Engineering, Computer Science, or related quantitative field.
• Minimum 5 years of experience in a data analytics or business intelligence role, preferably in fintech, banking, or financial services.
• Proficient in SQL and at least one data visualization tool (e.g., Tableau, Power BI).
• Hands-on experience in campaign performance analysis, list generation using logic-based rules, and customer segmentation.
• Familiarity with lending and credit card KPIs and lifecycle stages is a strong advantage.
• Ability to translate complex data into clear business recommendations.
• Strong sense of ownership, attention to detail, and communication skills.
• Experience with Python or R for forecasting or statistical modeling.

Nice to have:

• Exposure to marketing automation platforms or CRM tools.
• Understanding of risk and compliance considerations related to campaign base generation.