Senior Business Analyst - AI Focus (Contract)

Hiflylabs is a vibrant team of data and tech enthusiasts expanding in the U.S. They are seeking a Strategic Business Analyst who will act as a bridge between complex data engineering and executive decision-making, ensuring that AI-driven web applications contribute to business outcomes.

Responsibilities:

• Strategic Roadmap Ownership: Define the "Why" and the "What" for our Databricks-based projects. Partner with stakeholders to prioritize high-ROI AI features
• Requirements Gathering and User Stories: translate complex stakeholder needs into actionable user stories and technical requirements
• Business Logic Interpretation: help technical counterparts understand complex business logic and translate it into a technical context
• Cross-Functional Orchestration: Lead regular syncs between the engineering team and key stakeholders at the customer, ensuring that technical delivery stays aligned with business strategy
• Testing and Quality Assurance: Lead QA (Quality Assurance) and UAT (User Acceptance Testing) of features developed by technical team while maintaining a feedback loop to ensure stakeholder-developer alignment
• Identify additional opportunities at the customer and build a strong relationship with the key stakeholders

Requirements:

• 3-5 years in a role where you acted as a liaison between Tech and Business
• Proven experience in leading high-impact data and AI projects
• Strong background in business strategy with a proven understanding of how data and AI affect business decision-making
• Exceptional ability to translate technical concepts for non-technical stakeholders, and vice-versa
• High level of comfort speaking with C-level executives with confidence and clarity
• ROI-Centric Thinking: Experience in leading process improvements that result in measurable business impact
• Visualization Strategy: Not just 'making charts,' but building Strategic Dashboards (Tableau, Mode, or PowerBI) that tell a story and drive action
• Deep understanding of the Finance, Insurance, or Healthcare sectors
• Modern Data Stack: Familiarity with modern data stack platforms and tools, such as Databricks, Snowflake, and dbt
• Experience with SQL, Excel, and data visualization tools such as Tableau are preferred
• Experience with programming languages such as Python is nice to have