Title: Sr Lead Business Analyst
Area(s) of responsibility
Job Title: Senior Business Analyst – Data & Analytics
Experience :10–14 Years
Location: Raritan New Jersey, US
Job Summary
We are seeking a highly experienced Senior Business Analyst – Data & Analytics who can bridge the gap between business stakeholders and modern data platforms. The ideal candidate will have deep expertise in requirements gathering, data modelling concepts, analytics solutions, and cloud-based data ecosystems, with hands-on experience working across Informatica, Snowflake, dbt, Tableau, and AWS.
You will play a critical role in translating business needs into scalable data and analytics solutions while partnering closely with Data Engineers, Architects, Analytics teams, and business leaders.
Key Responsibilities
Business & Requirements Management
- Lead end-to-end requirements elicitation sessions with business, product, and technical stakeholders.
- Document Business Requirements Documents (BRDs), Functional Requirements Documents (FRDs), user stories, data mappings, and acceptance criteria.
- Translate complex business problems into data, reporting, and analytics use cases.
- Act as the primary liaison between business users and technical teams.
Data & Analytics Expertise
- Work closely with data engineering teams on solutions involving:
- Informatica (ETL/ELT, Data Quality, Data Integration)
- Snowflake Data Cloud (schemas, data marts, performance considerations)
- dbt (transformations, data models, testing, documentation concepts)
- Define and validate source-to-target mappings, transformation logic, and data reconciliation rules.
- Support data governance, lineage, and data quality initiatives.
Reporting & Visualization
- Partner with business teams to define KPIs, metrics, and analytical dimensions.
- Collaborate with BI developers on Tableau dashboards, reports, and self-service analytics.
- Ensure dashboards are aligned with business objectives and provide actionable insights.
Cloud & Architecture Collaboration
- Work within AWS-based data architectures, collaborating with cloud, security, and DevOps teams.
- Understand cloud-native concepts such as data lakes, warehouses, security, scalability, and cost optimization.
- Assist in defining analytical solution approaches aligned with enterprise cloud strategies.
Agile & Delivery
- Operate effectively in Agile/Scrum environments.
- Participate in sprint planning, backlog grooming, demos, and retrospectives.
- Support UAT planning, execution, defect triage, and sign-off.
- Ensure timely delivery of high-quality analytics solutions.