Data Analyst (Banking/Cloud Data Platform)

Keyrus; Manila; On-site; PHP 600,000 - 900,000; Full time

Job summary

Keyrus is an international consulting firm seeking a Data Analyst to join the Data team in the Philippines. The role focuses on validating requirements, documenting data definitions, and enabling data-driven decisions for enterprise clients across APAC.

The analyst will gather requirements, map data sources to targets, define transformation rules, and support testing and acceptance activities. Strong collaboration with business users and technical teams is essential.

Qualifications

• 3+ years of business analysis experience in data, analytics, or enterprise technology projects.
• Strong experience gathering and documenting BRDs, functional requirements, business rules, and data mappings.

Responsibilities

• Facilitate requirement-gathering sessions with business users and technical teams.
• Document approved business matching rules, transformation rules, and data lineage.
• Prepare source-to-target mapping inputs and ERD documentation for data models.
• Support SIT and UAT test scenarios, cases, and acceptance criteria.

Skills

Business Analysis

Requirements Gathering

BRD Documentation

Data Mapping

ETL Collaboration

Data Quality

Stakeholder Management

Tools

SQL

Job description

Keyrus is an international consulting firm, specializing in the integration of data intelligence and Digital solutions. With over 2,800 employees spread across 29 countries, Keyrus continues to deliver on such projects to a wide range of clients from various industries including but not limited to Banking/Finance, Healthcare/pharmaceuticals, FMCG, Oil & Gas, and more.

As part of Keyrus’ solution delivery, we are also in a position to recruit and place technical consultants to complement on existing client projects with their expertise. As such, we seek innovative and agile people to support ambitious and forthcoming technological challenges.

Keyrus is looking for a Data Analyst to join our Data team in the Philippines and support the delivery of high-impact analytics, and data solutions for enterprise clients across APAC.

Role Summary

The Data Analyst will support business use cases ensuring that requirements, rules, data definitions, transformation logic, downstream consumption needs, and validation expectations are clearly documented and aligned with the signed-off scope

Key Responsibilities

Requirements Gathering and Analysis

• Facilitate requirement-gathering sessions with business users, data owners, source system SMEs, downstream consumers, and technical teams
• Capture business scenarios, scope, KPIs, rules, existing constraints, downstream usage, and expected outcomes
• Support preparation and refinement of BRDs
• Translate business requirements into functional requirements for FRS and LLD development
• Identify gaps, ambiguities, dependencies, and assumptions in business requirements

Business Rule and Data Rule Documentation

• Document approved business matching rules, transformation rules, aggregation rules, segmentation rules, eligibility rules, and prioritization logic
• Support rule definition, including customer matching rules, fuzzy logic requirements, government ID matching, name and date-of-birth matching, and matching validation expectations.
• Ensure rules are documented clearly enough for technical implementation and testing

Data Mapping and Source Analysis

• Work with source system SMEs to document source systems, tables, fields, data definitions, data dictionaries, interface specifications, and ERDs
• Prepare source-to-target mapping inputs for data models and transformation logic
• Support identification of approved upstream datasets for ingestion and modelling
• Validate data mapping assumptions with business and technical stakeholders
• Document data quality issues, missing definitions, duplicate keys, inconsistent formats, and other source data concerns

Testing and Acceptance Support

• Support preparation of SIT and UAT test scenarios, test cases, expected results, and acceptance criteria.
• Coordinate with business users to validate outputs against signed-off BRD and design specifications.
• Support UAT execution, issue triage, defect clarification, retesting, and sign-off preparation.
• Ensure test scenarios validate business rules, data outputs, data quality rules, downstream connectivity, and consumption expectations.
• Document UAT feedback and ensure approved changes are managed through the agreed change control process

Required Skills and Experience

• 3+ years of business analysis experience in data, analytics, banking, financial services, or enterprise technology projects.
• Strong experience gathering and documenting BRDs, functional requirements, business rules, data mappings, and acceptance criteria
• Good understanding of data platforms, data warehouses, data lakes, lakehouse architecture, or analytics solutions.
• Ability to work with technical teams on ETL, data models, data quality, metadata, lineage, and downstream consumption requirements.