Business Analyst - EDW (Enterprise Data Warehouse)

Business Analyst - EDW (Enterprise Data Warehouse)

Our client, a leading financial institution, is seeking a

Lead Business Systems Analyst (BSA)

to join their

Enterprise Data Warehouse (EDW)

team. This is a high-impact role for a data-savvy professional who sees data as a strategic asset and is passionate about driving value through actionable insights and analytics.

This job is W2 only, no third party candidates will be considered.

As a

Lead BSA

, you will collaborate across business and technical teams to understand needs, define data-centric requirements, and manage a robust product backlog. You'll play a critical role in supporting the development of solutions that power enterprise-wide data-driven decision-making.

Key Responsibilities:

Act as the primary liaison between stakeholders, Product Owners, and Agile team members.

Gather and analyze business needs; develop and maintain detailed

Features

and

User Stories

.

Create and document

source-to-target data mappings

and technical requirements.

Lead

backlog refinement

sessions, ensuring stories are ready for sprint planning with clear acceptance criteria.

Support the team in identifying and mitigating project risks and impediments.

Collaborate with application BSAs, Scrum Masters, and data engineers to deliver business-critical solutions.

Required Qualifications:

Bachelor's Degree or equivalent military experience.

5+ years

of experience as a Business Systems Analyst in a

Data Warehouse environment

.

1+ years

of hands-on experience writing and executing

SQL

queries for data analysis.

Strong understanding of

EDW concepts

and

data mapping

(source-to-target).

Experience working in

Agile/Scrum

environments.

Exceptional organizational, communication, and problem-solving skills.

Prior experience

leading other BSAs

on cross-functional teams.

Preferred Qualifications:

Experience in the

banking or financial services

industry.

Hands-on experience with

Snowflake

and

AWS S3

.

Exposure to tools like

DataStage

,

Infogix

,

Python/PySpark

, and

Tableau

.

Familiarity with data modeling tools like

Erwin

or similar.

Employers have access to artificial intelligence language tools (AI) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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Dice Id:

10106293

Position Id:

8657340