Flexibility to work during US business hours, including late evenings, is required
- Collaborate with business stakeholders to gather, analyze, and document requirements, user stories, and acceptance criteria.
- Translate complex business needs into detailed functional and technical specifications.
- Work with solution architects and developers to design scalable and secure systems.
- Develop process models, data flow diagrams, interface specifications, and integration mappings.
- Identify opportunities to optimize and automate data and ETL processes.
- Perform detailed analysis of data flows, ETL pipelines, and system integrations.
- Support data migration, API design, and integration initiatives.
- Configure and maintain ETL tools/platforms to support business requirements and data integration needs.
- Monitor and troubleshoot ETL jobs, ensuring data accuracy and integrity.
- Develop and maintain documentation for ETL workflows, mappings, and transformations.
- Partner with engineering, QA, DevOps, and product teams throughout the SDLC.
- Participate and contribute in Agile ceremonies such as sprint planning, backlog refinement, and retrospectives.
- Support technical feasibility assessments and validate deliverables for compliance with business requirements.
- Contribute to testing, validation, and deployment of ETL and system solutions.
- Manage requirement changes and maintain version control.
- Provide regular progress updates, identifying risks and dependencies.
- Act as a liaison between technical and business teams to ensure alignment and clarity.
- Maintain strong documentation practices across all project phases.
- 3-5 years of experience as a Technical Business Analyst in IT development or data-driven environments.
- Strong understanding of ETL concepts and system integration.
- Hands-on experience with SQL, REST/SOAP APIs, JSON/XML, and data analysis.
- Familiarity with Agile/Scrum methodologies and tools such as Jira, Confluence, or Azure DevOps.
- Knowledge of UML, BPM tools, data warehousing and data governance/data quality frameworks.
- Excellent analytical, problem-solving, and critical-thinking abilities.
- Strong communication skills for both technical and non-technical audiences.
- High attention to detail with the ability to manage multiple priorities.
- Strong ownership mindset and accountability for deliverables.
- Adhere to organizational information security policies and ISMS practices.
- Ensure confidentiality, integrity, and availability of information assets.
- Participate in awareness programs and promptly report any security incidents.
