Senior Business Intelligence Analyst

McKesson•Richmond, VA

About The Position

The Finance Data & Analytics Partner serves as the primary analytics and technology partner for assigned Finance organizations while remaining actively responsible for designing, developing, delivering, and continuously improving analytics solutions. This role combines hands-on development with business partnership and product ownership. The position develops analytics products that improve decision-making and business performance through trusted relationships with business leaders, and owns the full lifecycle of analytics products from strategy and roadmap planning through implementation, adoption, and ongoing enhancement.

Requirements

At least 5 years developing analytics solutions.
Experience with dashboard and report development.
Strong stakeholder engagement experience.
Experience translating business requirements into technical solutions.
Demonstrated ability to independently deliver complex analytics products.
Bachelor's degree or equivalent.

Nice To Haves

Experience supporting Finance organizations.
Product Ownership experience.
Google Cloud Platform experience.
Agile delivery experience.
Data modeling experience.
Semantic layer development.
Requirements gathering.
Process analysis.
KPI development.
Solution design.

Responsibilities

Develop and deliver analytics products that support decision-making and operational excellence.
Design, develop, test, and deploy analytics solutions.
Build dashboards, scorecards, self-service reporting, and data products.
Develop semantic models and reusable business logic.
Create scalable and maintainable reporting solutions.
Help develop AI-enabled analytics experiences where appropriate.
Identify opportunities to simplify, automate, and modernize existing reporting.
Ensure solutions meet performance, usability, and reliability expectations.
Support transition from traditional reporting to modern data products.
Build relationships with Finance leaders and stakeholders; participate in planning sessions, business reviews, and strategic discussions.
Understand evolving business needs and priorities; advise business leaders on analytics, automation, and AI opportunities.
Facilitate requirements discussions and solution planning and serve as the primary point of contact for analytics initiatives.
Own the analytics portfolio for assigned business domains.
Maintain and prioritize product backlogs, evaluate competing requests, and prioritize based on business value.
Develop short- and long-term roadmaps, manage product lifecycles and enhancement strategies, and ensure solutions continue to deliver measurable value.
Drive adoption and continuous improvement.