Data Analyst

Role Overview

We are looking for a detail-oriented and analytical Business Analyst with experience in Data Analysis, Testing, and User Acceptance Testing (UAT) . The ideal candidate should possess strong data analytical skills, be proficient in SQL and reporting tools, and have hands-on experience validating business requirements through functional testing and stakeholder engagement. Candidates who can join immediately or within a short notice period will be preferred.

Key Responsibilities

• Gather, analyze, and document business requirements from stakeholders.
• Perform data analysis to identify trends, patterns, gaps, and actionable insights.
• Develop and execute test cases, test scenarios, and UAT plans based on business requirements.
• Validate data accuracy, business rules, and system functionality through testing activities.
• Perform root cause analysis for data and reporting issues and coordinate resolution with technical teams.
• Create dashboards, reports, and visualizations using Power BI and Tableau .
• Write and optimize SQL queries for data extraction, validation, reconciliation, and analysis.
• Utilize Python for exploratory data analysis, data validation, and automation of repetitive tasks.
• Collaborate with business users, QA teams, developers, and project managers during project delivery.
• Facilitate UAT sessions, track defects, and ensure timely closure of issues.
• Prepare business requirement documents (BRDs), functional specifications, test cases, and user documentation.
• Support production releases and post-implementation validations.

Required Skills

Must-Have

• 2-5 years of experience as a Business Analyst, Data Analyst, or related role
• Strong proficiency in SQL for data analysis and validation
• Hands-on experience with Python for data analysis and reporting
• Experience with Power BI and/or Tableau
• Strong understanding of Testing and UAT methodologies
• Experience in requirement gathering, stakeholder management, and business process analysis
• Ability to translate business requirements into test scenarios and acceptance criteria
• Strong analytical and problem-solving skills

Preferred Skills

• Data Quality Assessment and Reconciliation
• Test Planning, Defect Tracking, and UAT Coordination
• Knowledge of Data Warehousing concepts
• Exposure to ETL processes and data pipelines
• Familiarity with Agile/Scrum delivery methodologies
• Experience working with Jira, Azure DevOps, or similar tools

Preferred Domain Experience

• Insurance domain experience preferred but not mandatory
• Exposure to Property & Casualty (P&C), Claims, Underwriting, Policy, or Reporting processes will be an added advantage

Communication & Soft Skills

• Excellent verbal and written communication skills
• Strong stakeholder management and client interaction capabilities
• Ability to facilitate workshops, requirement discussions, and UAT sessions
• Strong attention to detail and documentation skills
• Self-motivated with the ability to work independently and collaboratively