Senior Data Business Analyst — Data Strategy & Delivery

Experis Technology Group; Jersey City (NJ); On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Medical plans

Dental plan

Vision plan

Health Savings Account

Dependent Care FSA

401(k) Plus Match

Weekly Pay

Job summary

ManpowerGroup's Experis division in Jersey City, New Jersey seeks a Senior Data Business Analyst to bridge business stakeholders and data-technical teams, ensuring data-driven solutions meet requirements and quality standards.

You will document data requirements, KPIs, and data rules, support ETL/ELT and data warehousing efforts, and create BRDs, data dictionaries, and test plans, while collaborating with BI teams on dashboards and analytics.

Responsibilities

• Collaborate with business stakeholders to gather, analyze, and document data-related requirements.
• Translate business needs into functional and technical specifications for data engineering teams, including data use cases, KPIs, and business rules.
• Support data engineering efforts by understanding and documenting ETL/ELT processes, data pipelines, and data warehousing solutions.
• Act as a liaison between business users, data engineers, and IT teams—facilitating workshops, meetings, and requirement walkthroughs to ensure alignment.
• Create and maintain business and technical documentation (BRDs, FSDs, data dictionaries, and metadata) and support testing/validation activities including UAT and defect resolution.

Skills

Stakeholder communication

Analytical thinking

Requirements gathering

Attention to detail

Tools

SQL

Informatica

Talend

Azure Data Factory

AWS Glue

Power BI

Tableau

Job description

ManpowerGroup's Experis division in Jersey City, New Jersey seeks a Senior Data Business Analyst to bridge business stakeholders and data-technical teams, ensuring data-driven solutions meet requirements and quality standards.

You will document data requirements, KPIs, and data rules, support ETL/ELT and data warehousing efforts, and create BRDs, data dictionaries, and test plans, while collaborating with BI teams on dashboards and analytics.