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SID Global Solutions is seeking an Enterprise Data Platform - Systems Analyst / Data Analyst to analyze and support data platform solutions using Azure and Databricks. The role bridges business and tech teams, translating requirements into governance-aligned solutions.
Responsibilities include data modeling, ETL/ELT, data quality, and production support across Agile/Waterfall projects. Strong communication with stakeholders is required.
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.
Conduct requirements analysis and translate business requirements into functional solutions
Perform data modeling including conceptual, logical, and physical data model design
Support integration analysis and data integration activities
Coordinate deployment and manage data quality
Provide production support for Enterprise Data Platform solutions
Drive Customer 360 and data initiatives
Support functional, system integration, user acceptance, and end-to-end (E2E) testing activities
Work with Agile and Waterfall delivery methods
Collaborate with Business Users, Data Stewards, Developers, Vendors, and Project Managers
Identify and resolve issues related to data quality, integration, and platform performance
Bachelor's degree in computer science, Information systems, Engineering or related field, or equivalent work experience
Minimum 8 years of experience in IT development and system analysis
At least 3 years of experience in Data Platforms solutions, tools, and platforms preferably Azure & Databricks
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
Strong solution definition, analytical and problem-solving skills with ability to assess complex situations and make sound decisions under pressure
Ability to communicate in both technical language with developers and business language with business partners
Hands-on experience (implemented and completed at least 2 projects, end to end) on Informatica Data Management Cloud (IDMC), Cloud Data Integration and Cloud Application Integration
Strong SQL proficiency for querying and manipulating databases
Knowledge and experience of software development life cycle, agile methods and processes
Experience and knowledge in coding in Python, SQL, Java is an advantage
Working knowledge of Microsoft Azure cloud technologies is an advantage