SYSTEM DATA ANALYST

SLI Consulting Inc.; Makati; On-site; PHP 900,000 - 1,300,000; Full time

Job summary

SLI Consulting Inc. in Makati, Philippines is seeking an Enterprise Data Platform Systems Analyst / Data Analyst to analyze and support data platform solutions using Microsoft Azure and Databricks.

Translate business requirements into functional data solutions and collaborate with business units to ensure governance and quality. The role requires at least 5 years in IT development and system analysis, 2+ years in data platforms, and hands-on cloud experience.

Qualifications

• 2+ years in Data Platforms solutions, Azure & Databricks.
• Minimum 5 years of IT development and system analysis.
• Experience with Agile and Waterfall delivery methods.
• Hands-on Azure technology stack.
• Data and Analytics projects involving data integration, data migration, ETL/ELT, APIs, system interfaces, Azure services and data validation.
• Experience supporting testing activities: SIT, UAT, E2E validation.
• Proven data modeling: conceptual, logical, physical models.

Responsibilities

• Analyze and support Enterprise Data Platform solutions using Microsoft Azure and Databricks.
• Collaborate with Business Users, Data Stewards, Developers, Vendors, and Project Managers.
• Perform requirements analysis, data modeling, and integration analysis.
• Coordinate deployment, ensure data quality, and provide production support.
• Drive Customer 360 and other data initiatives and ensure governance.

Skills

Python

SQL

Java

Azure

Databricks

ETL/ELT

APIs

Data modeling

SDLC

Agile

Waterfall

Troubleshooting

Tools

Azure stack

Databricks

IDMC

Job description

At least 2 years of experience in Data Platforms solutions, tools, and platforms preferably Azure & Databricks

Minimum 5 years of experience in IT development and system analysis.

Has worked with Agile and Waterfall delivery methods.

Hands-on experience with Microsoft Azure technology stack or similar Cloud solutions

Hands-on experience in Data and Analytics projects involving data integration, data migration, ETL/ELT processes, APIs, system interfaces, Microsoft Azure Services and data validation activities.

Experience supporting testing activities, including functional testing, system integration testing (SIT), user acceptance testing (UAT), and end-to-end (E2E) validation.

Proven experience in data modeling, including conceptual, logical, and physical data model design to support enterprise data management initiatives.

Skills

• o Programming Languages: Experience and knowledge in coding in Python, SQL, Java is an advantage.
• o Analytical Thinking: Strong solution definition, analytical and problem-solving skills, with the ability to assess complex situations and make sound decisions under pressure
• o Technical and Business Communication: Ability to communicate both in technical language with developers and business language with business partners.
• o Technical Competency: Excellent understanding of solution development methodologies and application development with high level understanding on financial products and processes. Hands on experience
• (implemented and completed at least 2 projects, end to end) on
• o Informatica Data Management Cloud (IDMC), Cloud Data Integration and Cloud Application Integration
• o SQL Proficiency. Strong knowledge of SQL for querying and manipulating databases.
• o Working knowledge of Microsoft Azure cloud technologies is an advantage
• o Knowledge on SDLC: Knowledge, understanding and experience of software development life cycle, agile methods and processes, and capability to support project and delivery teams.
• o Continuous Learning & Improvement: Look actively for opportunities to shorten development times, improve skills the team &amp trigger? (Wait?) no sorry. The text ends with: ... no, ignore. (This last line is weird. Let's ignore)
• o Troubleshooting and Problem Solver: Ability to identify and resolve issues related to data quality, integration, and platform performance

Job Mandate

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 highquality data platform solutions. Key responsibilities include requirements analysis, data modeling, integration analysis, deployment coordination, data quality management, producion 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.