Business Systems Analyst

About the role

We are seeking an experienced Business Systems Analyst (BSA) with a strong background in Data Engineering and Data Warehousing projects. The ideal candidate will serve as a critical liaison between business stakeholders, data engineering teams, and IT organizations to ensure that data-driven solutions are aligned with business objectives and delivered effectively.

Responsibilities

• Collaborate with business stakeholders to gather, analyze, and document business and data requirements.
• Translate business requirements into functional and technical specifications for data engineering teams.
• Define business rules, data use cases, KPIs, and success criteria.
• Work closely with Data Engineers, Architects, and Developers on data integration, ETL/ELT, data pipeline, and data warehousing initiatives.
• Analyze and document data flows, source-to-target mappings, transformation logic, and data lineage.
• Facilitate requirements workshops, stakeholder meetings, and solution review sessions.
• Act as the primary liaison between business users, data teams, and IT stakeholders.
• Create and maintain Business Requirement Documents (BRDs), Functional Specification Documents (FSDs), user stories, process flows, data dictionaries, and related documentation.
• Ensure alignment between business expectations and delivered solutions.
• Support data governance, data quality, security, and compliance initiatives.
• Support User Acceptance Testing (UAT), data validation, and defect resolution activities.
• Collaborate with BI and Analytics teams to support dashboards, reporting, and data visualization requirements.
• Ensure data accuracy, consistency, and usability across reporting and analytical platforms.
• Support Agile project delivery and participate in sprint planning, backlog grooming, and requirement refinement sessions.

Requirements

• 8+ years of experience as a Business Systems Analyst or Business Analyst, with significant experience supporting Data Engineering or Data Warehousing projects.
• Strong understanding of Business Analysis methodologies, requirements management, and stakeholder engagement.
• Hands-on experience with data integration, ETL/ELT processes, and enterprise data platforms.
• Advanced SQL skills for data analysis, validation, and troubleshooting.
• Solid understanding of data modeling concepts, including Star Schema and Snowflake Schema.
• Experience with data mapping, data lineage, metadata management, and transformation logic.
• Knowledge of data quality frameworks and data validation techniques.
• Experience working with data warehouses and data lake technologies such as Snowflake, Amazon Redshift, BigQuery, or similar platforms.
• Exposure to cloud platforms including Azure, AWS, or GCP.
• Experience with ETL/ELT tools such as Informatica, Talend, Azure Data Factory, AWS Glue, or similar technologies.
• Familiarity with reporting and visualization tools such as Power BI, Tableau, and Excel.
• Experience using JIRA, Azure DevOps, Visio, Lucidchart, or similar tools.
• Excellent analytical, problem-solving, and communication skills.
• Strong stakeholder management skills with the ability to work across cross-functional teams.

Preferred Qualifications

• Experience working in Agile/Scrum environments.
• Understanding of API integrations, web services, and data exchange mechanisms.
• Exposure to Big Data technologies such as Spark and Hadoop.
• Knowledge of data governance, data privacy, and regulatory compliance frameworks.
• Bachelor's degree in Computer Science, Information Systems, Business Analytics, or a related field.
• Relevant certifications in Business Analysis, Agile, Cloud, or Data Management are a plus.