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.