Business Systems Analyst
- Infojini Inc.
3 Days Ago
NA
Yearly
Remote
8-15 Years
Required Skills: Business Systems Analyst, Business Analyst, Data Analyst, SQL, Azure, AWS cloud platforms
Job Description
Business Systems Analyst – Logical Data Modeling
We are looking for a Business Systems Analyst (BSA) with strong expertise in Logical Data Modeling, Business Analysis, SQL, Data Mapping, and Requirements Gathering. The ideal candidate will bridge the gap between business stakeholders and technical teams by translating complex business requirements into functional and data-driven solutions.
Key Responsibilities
- Gather, analyze, and document complex business and data requirements.
- Develop and maintain logical and conceptual data models, ERDs, data definitions, and business rules.
- Analyze business processes to identify data requirements, relationships, and information flows.
- Create BRDs, FRDs, user stories, process flows, data dictionaries, and source-to-target mappings.
- Work closely with business stakeholders, Product Owners, Data Architects, Developers, and QA teams.
- Perform data analysis, profiling, validation, and troubleshooting using SQL.
- Support data migration, system implementation, reporting, and UAT activities.
- Conduct requirement workshops, gap analysis, impact assessments, and solution review sessions.
- Support data quality and data governance initiatives.
- Ensure requirements and data models align with enterprise data architecture and governance standards.
- Work in an Agile/Scrum environment and use JIRA or similar tools for project tracking.
Required Skills
- 8–14 Years of experience as a Business Systems Analyst, Business Analyst, Data Analyst, or Business/Data Consultant.
- Strong hands-on experience with Logical Data Modeling and Conceptual Data Modeling.
- Strong understanding of relational databases, data relationships, normalization, and ERDs.
- Strong SQL skills for data analysis and validation.
- Experience with data mapping, source-to-target mapping, data dictionaries, and business rules.
- Strong requirements gathering and documentation experience.
- Experience creating BRDs, FRDs, functional specifications, user stories, and process workflows.
- Strong stakeholder management and communication skills.
- Understanding of Data Warehousing, ETL, and Enterprise Data Management.
- Experience working with Agile/Scrum methodologies and JIRA or similar tools.
Preferred Skills
- Insurance domain experience, particularly P&C, Claims, Policy, Underwriting, or Billing.
- Experience with Data Governance and Data Architecture.
- Exposure to Data Transformation and Data Modernization initiatives.
- Experience with Azure or AWS cloud platforms.
- Experience supporting enterprise data initiatives and AI-driven solutions.
Education
Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, Data Analytics, Mathematics, Statistics, Economics, Actuarial Science, or a related field.
