IT Business Analyst I

Title : IT - Business Analyst I
Location : Remote work for EST/CST candidates or Hybrid at Allentown, PA 18104
Duration : 6+ months Contract

Job Description: Callouts:
- Role is remote but can be hybrid in Allentown, PA if preferred
- Looking for experience with ADO Boards, Co Pilot and Microsoft Suite
- Knowledge of PowerBI and any SQL experience is nice to have

Job Summary:
Seeking a motivated and detail-oriented Business Analyst with foundational knowledge in Information Technology (IT) and Artificial Intelligence (AI). This role is ideal for someone with a passion for technology, a strong interest in project management, and a desire to grow within an Agile environment.
As a Business Analyst, you will work directly with data scientists, product owners, and stakeholders to ensure AI and IT initiatives stay aligned with business goals and on track. You ll assist with project tracking, Agile ceremonies, and communication across teams. Key role in bridging the gap between business stakeholders and technical teams.

Key Responsibilities:
Attend and actively participate in Data Science and AI project meetings with business and technical stakeholders.
Maintain and manage Azure DevOps (ADO) boards, ensuring tickets are up-to-date and accurately reflect project progress.
Assist in scheduling meetings, preparing agendas, and capturing detailed meeting notes and action items, risks and blockers.
Create presentations and documentation for both technical and non-technical audiences.
Translate business needs into clear documentation and action items.
Collaborate with cross-functional teams to gather and document business requirements, support task prioritization, sprint planning and retrospectives.
Support Agile ceremonies such as daily stand-ups, sprint planning, and retrospectives.
Monitor project timelines and deliverables, helping to identify and mitigate risks.
Contribute to continuous improvement initiatives within the team and organization.

Qualifications:
Bachelor s degree in Business, Information Systems, Computer Science, or a related field.
Foundational understanding of AI/ML concepts and IT systems or data analytics.
Familiarity with Agile methodologies (Scrum, Kanban) and project lifecycle.
Proficiency in tools such as Microsoft Office Suite, PowerPoint, and Azure DevOps (ADO) or similar project tracking tools.
Strong communication, organizational, and analytical skills.
Ability to work independently and collaboratively in a fast-paced environment.
Willingness to take on new tasks or learn new tools
Resilience in a changing environment

Preferred Skills:
Exposure to data visualization tools (e.g., Power BI, Tableau).
Basic understanding of data pipelines and machine learning workflows.
Experience or coursework in project management is a plus.

Skill Split:
Business Acumen
Understanding business goals, KPIs, and how their work supports them
Reading basic financial reports and performance metrics
Familiarity with company products, services, and customer needs
AI & Data Literacy
Understanding of key AI concepts: machine learning, natural language processing, computer vision, etc.
Familiarity with data workflows (e.g. ETL, data pre-processing, feature engineering)
Understanding of AI product lifecycle (from model training to deployment and monitoring)
Business Analysis & Strategy
Requirements gathering and documentation
Translating business problems into technical use cases
Defining success metrics and KPIs for AI initiatives
Supporting cost-benefit analyses and ROI evaluations for AI projects
Mapping user stories and business workflows
Tools & Technical Skills
Data analysis tools: SQL, Excel, Tableau, Power BI
Project management tools: Jira, Confluence, Trello
Exposure to AI/ML platforms: AWS SageMaker, Google Vertex AI, Azure Machine Learning (even at a high level)
Documentation: Writing functional specs, user stories, and product requirements
APIs: Basic understanding of how AI models are accessed and integrated into products
Stakeholder Communication
Communicating insights between technical and non-technical teams
Creating clear visualizations or reports to summarize findings
Leading or participating in meetings with product managers, engineers, and executives
Acting as a translator between business goals and data requirements
Soft Skills
Critical thinking and analytical reasoning
Detail-oriented and organized
Adaptability in a fast-evolving tech landscape
Proactive attitude and curiosity about AI trends
Ethical awareness around AI fairness, privacy, and bias