Senior System Analyst (Enterprise Data Platform)

Ascendion; Metro Manila; On-site; PHP 600,000 - 1,000,000; Full time

Job summary

Ascendion is seeking a Systems Analyst / Data Analyst to support the Enterprise Data Platform using Microsoft Azure and Databricks in Metro Manila. You will translate business needs into functional data solutions, ensuring governance and alignment with enterprise objectives.

Collaborate with business users, data stewards, developers, vendors, and project managers to deliver scalable data platform solutions, perform data profiling, modeling, and participate in end-to-end testing and deployment

Qualifications

• Experience in requirements analysis and data modeling for data platforms.
• Knowledge of Azure and Databricks architecture.
• Ability to translate business requirements into functional specs.
• Collaborates with business users and delivery teams.
• Familiarity with data governance, privacy, security, and regulatory requirements.

Responsibilities

• Gather, analyze, and map business, data, and functional requirements.
• Define data rules, mappings, and lineage for enterprise data platform.
• Design and maintain Azure and Databricks configurations.
• Provide production support and incident resolution for data solutions.
• Coordinate deployment and release activities across environments.

Skills

Requirements analysis

Data modeling

Stakeholder collaboration

Data governance awareness

Problem solving

Tools

Azure

Databricks

SQL

Job description

The Enterprise Data Platform - Systems Analyst / Data Analyst is responsible for analyzing and supporting Enterprise Data Platform (EDP) solutions using Microsoft Azure tech stack and Databricks. The role serves as a key liaison between Business and Technology teams, translating business requirements into functional solutions that align with enterprise data governance standards and business objectives.

The Systems Analyst / Data Analyst collaborates with Business Users, Data Stewards, Developers, Vendors, and Project Managers to deliver scalable and high-quality data platform solutions. Key responsibilities include requirements analysis, data modeling, integration analysis, deployment coordination, data quality management, production support, and driving Customer 360 and data initiatives. The role also includes supporting functional, system integration, user acceptance, and end-to-end (E2E) testing activities to ensure solutions meet business requirements and quality standards.

Duties and Responsibilities

REQUIREMENTS ANALYSIS AND SOLUTION DESIGN

• Collaborate with Business Users, Data Owners, Data Stewards, and Delivery Teams to gather, analyze, document, and translate business, data, and functional requirements into functional specifications, process flows, use cases, and data mappings.
• Conduct requirement walkthroughs, impact assessments, and gap analysis, ensuring traceability between business requirements and delivered solutions.
• Analyze source systems, data sources, data structures, relationships, interfaces, integration requirements, and perform data profiling and data quality assessments to support EDP initiatives.
• Define business rules, data validation rules, data mapping, hierarchy requirements, data stewardship processes, and other data requirements.
• Support data modeling activities for customer, party, organization, hierarchy, reference, and relationship domains.
• Support data migration, cleansing, enrichment, matching, merging, synchronization, source-to-target mapping, and data lineage activities.
• Identify and remediate data quality issues while ensuring compliance with Data Governance, Privacy, Security, and Regulatory requirements.

BUILD

• Design, review and maintain Azure & Databricks configurations, integrations, and related components using approved functional requirements, development standards, and implementation guidelines.
• Design, review and maintain application code, configurations, deployment scripts, and release artifacts in accordance with approved functional specifications, development standards, and deployment requirements.
• Prepare deployment packages, configuration files, installation guides, and other implementation documentation required across all environments.
• Create and maintain system documentation, operational procedures, and user guides to support implementation and operations.
• Report project progress, risks, issues, and dependencies to the Delivery Manager and relevant stakeholders in a timely manner.

OPERATIONS SUPPORT

• Support deployment and release activities by coordinating implementation tasks, validating business readiness, and assisting with production implementation activities for data platform solutions.
• Provide production support, troubleshooting, root-cause analysis, and incident resolution for data platform applications, integrations, data quality issues, and production defects.
• Monitor the performance, availability, accuracy, completeness, and operational health of data platform solutions, including data quality metrics and matching effectiveness.
• Ensure compliance with data governance, security, privacy, and operational standards while providing knowledge transfer and functional support to business and support teams.
• Identify opportunities to improve data quality, business processes, operational efficiency, and overall effectiveness of data platform solutions through continuous improvement initiatives.

OTHERS

• Analyze business needs and data sources to support the development and maintenance of data platform integration, data quality processes, and solutions.
• Collaborate with System Integrators, Vendors, Business Users, and Technical Teams throughout the project lifecycle to support requirements gathering, solution implementation, stakeholder communication, issue resolution, and delivery activities.
• Develop and support data migration, data cleansing, data matching, data enrichment, and data synchronization processes for data domains.
• Review and validate business requirements, data models, integrations, deployment deliverables, and change requests to ensure alignment with business objectives, technical standards, data governance requirements, and project quality expectations.
• Review and validate the test strategy, test cases, test findings and resolutions, and other testing documentation to ensure compliance and consistency with business quality standards, requirements, and solution design