Data-Driven Business Analyst: AI & Stakeholder Liaison

TrueBlue Inc.; Newark (NJ); On-site; USD 70,000 - 110,000; Full time

Job summary

TrueBlue Inc. invites a Business Analyst to support data and analytics for a market data project, bridging business stakeholders and data engineering teams.

You will gather and shape requirements, assess data, validate accuracy and help deliver reliable data solutions that guide decision-making. This role suits someone with 2-5 years of experience who understands how data informs business decisions, learns new technologies quickly, and collaborates with offshore teams using Excel, SQL, Jira and

Qualifications

• 2-5 years in business analysis or data analytics.
• Understands how data can answer business questions.
• Profiles data in Excel and SQL; understands schemas, table structures and how data sets relate.
• Uses AI tools in day-to-day analysis and solutioning.
• Clear written and verbal communication; able to simplify technical ideas for business stakeholders.
• Curious and eager to learn new AI and data technologies.

Responsibilities

• Lead discovery sessions; write user stories, acceptance criteria and functional specs.
• Profile data sources in Excel and SQL; verify schemas and data gaps.
• Translate business needs to technical requirements; liaise with offshore teams.
• Use AI tools to analyze data and draft documentation.
• Write and execute UAT test cases to verify data accuracy and dashboard functionality.
• Maintain Jira backlog; participate in Agile ceremonies.
• Document in Confluence and enforce data quality guidelines.

Skills

Business analysis

Data analytics

SQL

Excel

Stakeholder communication

Agile / Scrum

Documentation

Tools

Jira

Confluence

Job description

TrueBlue Inc. invites a Business Analyst to support data and analytics for a market data project, bridging business stakeholders and data engineering teams.

You will gather and shape requirements, assess data, validate accuracy and help deliver reliable data solutions that guide decision-making. This role suits someone with 2-5 years of experience who understands how data informs business decisions, learns new technologies quickly, and collaborates with offshore teams using Excel, SQL, Jira and