Senior Data Analyst (AWS Data & Analytics)
Key Responsibilities
Business Analysis & Stakeholder Management
- Elicit, analyze, document, and validate business requirements from stakeholders.
- Translate business requirements into functional specifications, data requirements, user stories, and acceptance criteria.
- Facilitate workshops, requirement-gathering sessions, and stakeholder interviews.
- Perform impact assessments and gap analyses for new initiatives and system enhancements.
- Serve as a liaison between business users, data engineering teams, and technology teams.
Data Analytics & Reporting
- Analyze large datasets to identify trends, opportunities, risks, and business insights.
- Develop dashboards, reports, KPIs, and self-service analytics solutions.
- Perform ad hoc analysis to support strategic and operational decision-making.
- Create data models and business metrics aligned with organizational objectives.
- Ensure data quality, consistency, and governance standards are maintained.
AWS Data Platform & Data Backbone
- Work closely with data engineering teams supporting AWS-based data platforms.
- Analyze and understand data flows across ingestion, transformation, storage, and reporting layers.
- Contribute to data architecture discussions and recommend improvements to data pipelines.
- Support data lineage, metadata management, and data governance initiatives.
- Participate in cloud-based analytics and modernization projects.
Solution Design & Delivery
- Collaborate with engineering teams to design scalable data solutions.
- Validate delivered solutions against business requirements.
- Support UAT planning, execution, and defect management.
- Assist in prioritization and roadmap planning for analytics initiatives.
- Drive continuous improvement in reporting and data management processes.
Required Qualifications
Experience
- 5–10+ years of experience in:
- Data Analytics
- Business Systems Analysis
- Business Intelligence
- Data Warehousing
- Proven experience in mid-to-senior level roles.
- Experience within:
- Insurance
- Banking
- Wealth Management
- Financial Services
- FinTech
Technical Skills
AWS Cloud
Strong working knowledge of:
- Amazon S3
- AWS Glue
- Amazon Redshift
- Amazon Athena
- Amazon RDS
Data & Analytics
- Advanced SQL development and optimization.
- Data warehousing concepts.
- ETL/ELT processes and data integration.
- Data quality and data governance practices.
- Strong understanding of data lineage and metadata management.
Business Analysis Competencies
- Requirements elicitation and documentation.
- Process mapping and workflow analysis.
- User story development.
- Functional and non-functional requirements gathering.
- Gap analysis.
- Data mapping and source-to-target analysis.
- Agile and Scrum methodologies.
- UAT planning and execution.
Preferred Industry Knowledge
Strong understanding of one or more:
Insurance
- Policy Administration
- Underwriting
- Claims Management
- Reinsurance
- Actuarial Reporting
- Regulatory Reporting
Financial Services
- Investments
- Wealth Management
- Retail Banking
- Risk Management
- AML/KYC
- Regulatory Compliance
Success Profile
The ideal candidate is:
- Equally comfortable discussing business requirements and technical data architecture.
- Able to translate business problems into scalable analytics solutions.
- Experienced in AWS cloud-based data ecosystems.
- Strong in stakeholder management and executive communication.
- Capable of driving end-to-end analytics initiatives from requirements gathering through implementation.
- Familiar with insurance or financial services data domains and regulatory environments.
Experience Level: Mid-Senior to Senior (5–10+ years)
Function: Data Analytics, Business Analysis, Cloud Data Platforms, Financial Services Analytics
Pay: ₹2,200,000.00 - ₹3,500,000.00 per year
Benefits:
- Health insurance
- Provident Fund
Application Question(s):
- What is your current CTC & Notice Period?
- Are you from BFSI Domain?
Location:
- Gurugram, Haryana (Gurugram) (Required)
Work Location: In person
