IT Business Analyst Manager

Summary

Join QuartzBio as a Business Analyst Manager to guide strategic decision-making through advanced business intelligence and cross-functional collaboration. You will identify key Business Intelligence product opportunities, perform analysis, and drive the development of scalable Business Intelligence solutions. The ideal candidate possesses deep analytical expertise, hands-on data analysis skills, and a strong understanding of Business Intelligence technologies. Lead complex analytics initiatives, analyze stakeholder requirements, and enable the Product Development Life Cycle (PDLC) process. Drive adoption of business intelligence and semantic layers, and identify opportunities to leverage generative AI. Continuously enhance technical skills and stay informed about emerging technologies in the BI space.

Requirements

• Bachelor’s degree related field and a minimum of 8 years of relevant work experience in Business and technical analysis tasks related to Business intelligence
• 5+ years of experience in Business Analysis, Analytics, or BI roles with increasing levels of responsibility
• 4-6 years of experience working in a customer-facing role and leading projects
• Advanced proficiency in SQL/MySQL, data visualization tools (e.g., Tableau, Power BI, Looker) , and data modeling concepts
• Experience working with modern data stacks (e.g., Snowflake, dbt, Airflow, Redshift, databricks)
• Excellent problem-solving skills, analytical skills and ability to manage ambiguity with minimal oversight
• Excellent communication skills – can tailor messaging to executive, technical, and non-technical audiences
• Experience with Agile methodologies and project management tools such as Jira, Confluence, and Asana
• Proven leadership in managing complex projects or functional areas, with the ability to balance short-term deliverables and long-term strategic goals
• Demonstrated success in leading cross-functional initiatives and mentoring team members
• Strong project management skills, including scheduling, budgeting, and status reporting, with a solid understanding of project management processes and tools
• Strong written and verbal communication skills
• Ability to write complex reports in a clear and concise manner
• Provide expertise and guidance to team members
• Actively contributes to the development of departmental strategies
• Continuously improve technical skills and stay up to date with emerging technologies
• Meets budgets and schedules for the entire project lifecycle
• Other duties as assigned
• Follows Company's Principles and code of ethics on a day-to-day basis
• Shows appreciation for individual talents, differences, and abilities of fellow team members
• Listen and responds with appropriate actions
• Supports change initiatives and continuous process improvements
• Communicates effectively and appropriately with colleagues, supervisors and clients

Responsibilities

• Manage the intake and prioritization of business intelligence product requests
• Decompose product requirements into features, and translate them into detailed epics and user stories
• Collaborate with product leads to define release scopes and develop product roadmaps
• Define and manage business and technical requirements for core BI components and data pipeline initiatives
• Conduct backend data pipeline analysis to enrich and validate feature requests
• Translate complex or ambiguous problems into structured analyses and communicate insights to both technical and non-technical stakeholders
• Work closely with AI and intelligent agent teams to integrate BI capabilities with virtual assistants and intelligent systems
• Lead product grooming sessions with stakeholders to align on product deliverables
• Collaborate with the design team to create user journey maps, wireframes, and other UX deliverables
• Partner with engineering teams during sprint demos to review progress and provide product feedback
• Define and implement QA processes in collaboration with the QA team to ensure high product quality
• Drive adoption of business intelligence and semantic layers to empower business users with self-service analytics
• Own the full project lifecycle—from scoping and stakeholder alignment to delivery, documentation, and user enablement
• Identify opportunities to leverage generative AI to automate insights, enhance reporting, and improve user experience
• Stay current with BI and analytics trends, tools, and best practices in SaaS environments
• Continuously enhance technical skills and remain informed about emerging technologies in the BI space

Preferred Qualifications

• Familiarity with GenAI tools and frameworks (e.g., LangChain, OpenAI, Hugging Face) is a plus
• Experience in clinical operations and Biomarker data analytics (preferred)