{"id":1252790,"url":"https://alion.io/job/kaizen-sra-technologies-business-systems-analyst","title":"Business Systems Analyst","company":{"id":3800675,"name":"Kaizen SRA Technologies","domain":"kaizentek.com","url":"https://alion.io/company/kaizen-sra-technologies","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India","Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":16500,"max_usd":33000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":25},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"Confluence","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Jira","optional":false},{"name":"Scrum","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-12T11:02:44Z","employer_posted_date":null,"last_verified_at":"2026-09-12T11:02:44Z","board_verified":false,"closed_at":null,"days_open":45,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":45},"description":"Role Overview : \n\nBusiness Systems Analyst responsible for supporting Wealth platform modernization and data migration initiatives, including migration of on-premises SQL data platforms to Microsoft Azure Cloud and development of enterprise Data Products. Acts as a bridge between business stakeholders, data teams, technology teams, and development teams to translate business needs into clear functional and data requirements.\n\nKey Responsibilities : \n\n- Conduct requirements gathering and requirement elicitation sessions with Wealth business stakeholders to understand business processes, data needs, reporting requirements, and expected outcomes.\n\n- Facilitate workshops and discussions with business and technical teams to define business requirements, functional requirements, data requirements, and acceptance criteria.\n\n- Support migration of Wealth data platforms from on-premises SQL environments to Microsoft Azure Cloud.\n\n- Analyze existing on-premises data structures, business rules, data flows, and dependencies to support cloud migration and modernization.\n\n- Work closely with data engineering teams to define and validate requirements for Data Products developed as part of the Wealth platform modernization.\n\n- Identify source systems and understand how data is generated, transformed, integrated, and consumed across the Wealth ecosystem.\n\n- Perform data analysis and data profiling to understand data quality, completeness, consistency, uniqueness, and business-rule compliance.\n\n- Develop and execute SQL queries to analyze source and target data, investigate data discrepancies, validate business rules, and support requirements analysis.\n\n- Use Databricks SQL and queries to analyze cloud-based datasets and validate data within Azure-based Data Products.\n\n- Perform source-to-target analysis and support data mapping between legacy on-premises systems and cloud environments.\n\n- Collaborate with Data Engineers, Data Architects, Developers, QA teams, Product Owners, and business stakeholders throughout the delivery lifecycle.\n\n- Translate complex technical and data concepts into understandable business requirements and communicate business requirements clearly to technical teams.\n\n- Participate in data validation, reconciliation, UAT, defect triage, and production implementation activities.\n\n- Investigate data issues by tracing data across source systems, transformation logic, Data Products, and downstream consumers.\n\n- Document business rules, data definitions, source-to-target mappings, data lineage, requirements, and process flows.\n\n- Support Agile ceremonies including backlog refinement, sprint planning, daily stand-ups, sprint reviews, and retrospectives.\n\n- Work with Product Owners and stakeholders to prioritize requirements and ensure delivered solutions meet business objectives.\n\nTechnical Skills : \n\n- SQL : data analysis, profiling, reconciliation, validation, joins, aggregations, filtering, and complex queries\n\n- Databricks SQL : cloud data analysis and Data Product validation\n\n- Microsoft Azure : understanding of cloud data platforms, migration concepts, and Azure-based data solutions\n\n- Salesforce : understanding of Salesforce data structures, objects, fields, relationships, and source-system data\n\n- Data Profiling & Data Quality\n\n- Data Mapping & Source-to-Target Analysis\n\n- Data Products / Data Product Development\n\n- Understanding of ETL/ELT processes and data pipelines\n\n- Agile / Scrum methodology\n\n- JIRA / Confluence or similar requirements-management tools\n\nBusiness & Domain Skills : \n\n- Wealth Management / Wealth Banking\n\n- Financial Services / Banking\n\n- Business process analysis\n\n- Requirements elicitation and stakeholder management\n\n- Data analysis and interpretation\n\n- Business rules definition\n\n- Functional and data requirements\n\n- UAT and acceptance criteria\n\n- Cross-functional collaboration\n\nTypical Deliverables : \n\n- Business Requirements Documents (BRDs)\n\n- Functional Requirements\n\n- User Stories\n\n- Acceptance Criteria\n\n- Data Requirements\n\n- Source-to-Target Data Mapping\n\n- Business Rules\n\n- Data Profiling Results\n\n- Data Validation / Reconciliation Queries\n\n- Process Flows\n\n- Data Flow Documentation\n\n- UAT Test Scenarios\n\n- Defect Analysis and Resolution Documentation\n\nPreferred Qualifications : \n\n- Bachelor's or Master's degree in Information Technology, Computer Science, Business, Data Analytics, or a related field.\n\n- Experience working as a Business Systems Analyst / Business Analyst in banking, financial services, or wealth management.\n\n- Experience supporting cloud migration and data modernization initiatives.\n\n- Strong SQL and data-analysis skills.\n\n- Experience working with Azure, Databricks, and Salesforce.\n\n- Experience working in Agile/Scrum development environments.\n\n- Strong communication, stakeholder management, analytical, and problem-solving skills.\nSkills\nSystem Analyst, Business Analyst, Project Management, Project Methodologies, Data Analytics, SQL, Agile, Scrum, 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