Senior Data Analyst

Senior Data AnalystJob Details

• Location: Manila, Philippines
• Work Setup: Hybrid (Mandatory 2 days per week on-site in the Manila office)
• Shift Hours: 3:00 PM – 12:00 AM PHT (Mid-shift to align with regional teams)
• Salary: PHP 120,000 gross per month
• Notice Period: 30 Days

Position PurposeThe Senior Data Analyst will lead deep-dive data investigations, core reconciliation activities, business data analysis, and validation pipelines across strategic migration programs. This role is vital for maintaining data integrity and ensuring zero data loss during large-scale platform transitions.

Key Responsibilities

• Advanced Data Analysis: Execute complex SQL-based data analysis over massive, disparate financial data stores to identify patterns, trends, and anomalies.
• Data Quality Investigations: Own end-to-end data quality anomaly tracking, root-cause investigations, and technical issue resolutions.
• Requirements & Reporting:
• Assist with technical data requirements gathering, documentation, and the creation of recurring management and reporting packages.
• Validation & Support: Lead data validation and testing runs to support SPR End-of-Day (EOD) processing frameworks and related strategic deliverables.

Required Skills & Experience

• Core Technical Stack: Advanced SQL mastery with deep experience querying, transforming, and validating large, complex data volumes.
• Data Investigation: Proven analytical and investigative capability with a strong track record of documenting clear findings.
• Industry Domain: Professional experience within Financial Services or Investment Banking is highly preferred.
• Preferred Tools: Hands-on exposure to Python scripting, regulatory reporting platforms (such as Axiom), or front-to-back banking systems architecture.

Job Type: Full-time

Pay: Php100,000.00 - Php120,000.00 per month

Application Question(s):

• Available Start Date:
• Current / Last Drawn Salary:
• What is your expected monthly salary
• Are you fully comfortable working a hybrid model that requires 2 days a week on-site in the Manila office, alongside a fixed mid-shift of 3:00 PM – 12:00 AM PHT?
• Describe a scenario where you wrote advanced SQL queries to isolate a severe data quality issue or reconciliation discrepancy across a high-volume dataset. What logic or optimization techniques did you implement?
• Do you have experience working with financial or banking datasets?
• What is your expected salary
• What is your last drawn salary
• Do you have your TOR ready abd handy

Work Location: In person