Sr Business Analyst - Data Migration

Insight Global
Branchburg, United States of America
21 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Branchburg, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Data analysis
Azure
Big Data
Data Governance
ETL
Data Migration
Relational Databases
PostgreSQL
Machine Learning
Oracle Applications
Cloud Services
Data Processing
Data Analytics
Kafka
Data Management
Video Streaming

Job description

We are hiring a technical business analyst who is focused on data projects. Candidate will bridge business objectives and technical transformation by defining data requirements, AI-driven use cases, and validation frameworks for migrating from legacy Oracle systems to a modern, AI-ready Postgres ecosystem.

This role ensures the modernization program translates into measurable business outcomes, including predictive CX, real-time decisioning, and scalable AI enablement aligned with enterprise priorities.

Requirements

7-10+ years as a Business Analyst, Product Analyst, or Product Owner in:

Data platforms

-Analytics modernization

-AI / digital transformation programs

Strong experience with:

-Data-driven requirement gathering and documentation

-Complex system migrations (Oracle * Postgres or similar)

-CX, Network and analytics use cases

Solid understanding of:

-Relational databases (Oracle, Postgres)

-Data migration concepts (ETL/ELT, CDC, schema mapping)

-Real-time vs batch data processing

-AI/ML concepts and data readiness

Proven ability to:

-Translate business problems into structured requirements

-Define acceptance criteria and testable outcomes

-Work cross-functionally with technical and business teams

Strong:

-Stakeholder management

-Communication and facilitation skills

-Documentation and analytical thinking -Experience in large-scale data modernization or re-platforming programs

Exposure to:

-Cloud data platforms (GCP, AWS, or Azure)

-Streaming technologies (Kafka, Pub/Sub)

Familiarity with:

-Data governance, lineage, and quality frameworks

-AI/ML use case definition and evaluation models

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