Data-Driven IT Business Analyst

YouTube; Farmington Hills (MI); On-site; USD 70,000 - 100,000; Full time

Benefits offered by this job

Competitive salary

Performance incentives

Health insurance

Retirement plan

PTO & holidays

Tuition reimbursement

Professional development

Mission-driven culture

Job summary

GreenPath Financial Wellness seeks a Business Analyst to bridge business and IT, leading requirements for applications and data initiatives. You will translate needs into user stories, acceptance criteria, and process diagrams, collaborating with Product Managers, Owners, and engineers to deliver value.

Responsibilities include data discovery, reporting design using SQL and Power BI, and working with data engineers to ensure accurate data models, governance, and scalable solutions.

Qualifications

• Bachelor’s degree in Information Technology, Business, or a related field or equivalent experience.
• 3–5 years of experience as a business analyst, including requirements gathering for application development, data, reporting, or analytics initiatives.
• Experience writing clear business and technical requirements and test specifications preferred.
• Experience with Agile methodologies (Scrum, Kanban) preferred.
• Experience using Salesforce or Power BI is strongly preferred.
• Familiarity with Azure DevOps, Visio, Draw.io, Figma, Mural, Copilot is preferred.
• Experience documenting requirements for data projects involving SQL, Power BI, and relational or dimensional data models preferred.
• Familiarity or eagerness to learn data warehousing, operational reporting, and BI concepts.
• Experience in financial services or call center environments preferred.

Responsibilities

• Elicit, analyze, and document clear functional and non‑functional requirements by partnering with Product Managers, Product Owners, stakeholders and technical teams.
• Translate needs into clear specifications, including requirements documents, user stories, acceptance criteria, and process diagrams.
• Identify interdependencies and work with Product Owner, Scrum Master and technical team to determine development order.
• Lead requirements gathering for data initiatives, including reports, dashboards, visualizations, and analytics solutions.
• Document data lineage, transformations, and calculations in application requirements.
• Lead the effort to document and control project scope and gather stakeholder signoff on scope and requirements.
• Work closely with Developers, Data Engineers, and Infrastructure teams to ensure shared understanding of requirements and solution design.
• Incorporate usability, user experience, and human-centered design principles into solution definition.
• Support agile delivery teams by maintaining backlogs, refining user stories, and providing ongoing clarification during development.
• Contribute to user acceptance testing (UAT), including test case creation, execution support, and defect triage.
• Support release activities and deployments.
• Assist with training, documentation, and communication to support adoption of delivered solutions.
• Leverage AI and automation tools to improve efficiency in creating requirements, user stories, and test artifacts.
• Participate in brainstorming and discovery sessions related to data trends, data quality, process improvement, and innovation.
• Promote continuous improvement, quality outcomes, and stakeholder satisfaction.
• Perform other duties as assigned.

Skills

Analytical thinking

Requirements gathering

Agile methods

SQL

Power BI

Salesforce

Azure DevOps

Data modeling

Data analysis

Communication

Education

Bachelor’s degree in Information Technology, Business, or a related field

Tools

Azure DevOps

Visio

Draw.io

Figma

Mural

Copilot

Job description

GreenPath Financial Wellness seeks a Business Analyst to bridge business and IT, leading requirements for applications and data initiatives. You will translate needs into user stories, acceptance criteria, and process diagrams, collaborating with Product Managers, Owners, and engineers to deliver value.

Responsibilities include data discovery, reporting design using SQL and Power BI, and working with data engineers to ensure accurate data models, governance, and scalable solutions.