Senior Lead Business Intelligence Analyst

Are you interested in making a world of difference in cancer care?

Cancer strikes more than 10 million people worldwide each year. As the leading medical society representing doctors who care for people with cancer, the American Society of Clinical Oncology (ASCO) is committed to conquering cancer through research, education, and promotion of the highest quality care.

Who we are:
ASCO is a flexible, high-performance membership organization where employees collaborate to support our mission through evidence, care, and impact. Together with Conquer Cancer, the ASCO Foundation, we foster a culture that prioritizes customer-centricity, emphasizes teamwork, and commits to quality. Our culture, ASCO Works – Our Way of Working, has long enabled workplace flexibility and embraced technology to help us achieve balance.

ASCO offers competitive salaries, an excellent benefits package, and opportunities to participate in professional development programs. To learn what it’s like to work at ASCO, click here.

Who we are looking for:

ASCO is in search of a high-performing Senior Lead Business Intelligence Analyst to serve as the primary technical architect and hands on expert for our enterprise analytics ecosystem.

This is key, pivotal role responsible for bridging the gap between strategy and technical reality. The successful hire will have responsibility for the engineering and high-level delivery of data solutions and collaborate directly with Business Leaders to operationalize an Enterprise Analytics roadmap that aligns with ASCO’s overarching strategic vision.

If you have a passion for working with data, modeling, and collaborating with technical teams and business stakeholders, apply today!

Remote candidates welcome or at primary location in Alexandria, VA.

Responsibilities

Strategic Leadership & Advocacy

• Drive Enterprise Roadmap: Partner with the Business Leads and Portfolio Leads to design and execute a roadmap for Enterprise Analytics that aligns data initiatives with ASCO’s strategic mission.
• Foster Data Culture: Act as a thought partner and advocate for Business Intelligence (BI) best practices, fostering a culture where data-driven narratives inform every major business decision.
• Anticipate Trends: Stay at the forefront of emerging technologies to ensure ASCO’s analytics capabilities—from traditional BI to AI-ready datasets—are continuously evolving.

Architecture & Data Engineering Collaboration

• Modernize Data Structures: Collaborate on the architectural design and modeling of multi-cloud Big Data platforms to support a scalable, high-performance analytic ecosystem.
• Optimize Data Design: Lead the conceptual and physical database design efforts to ensure data storage is optimized for both retrieval speed and business relevance.
• Govern with Integrity: Establish and maintain robust documentation and metadata standards to ensure data quality, transparency, and compliance across the organization.

Insight Delivery & Self-Service Empowerment

• Craft Actionable Narratives: Design world-class, visually rich dashboards that translate complex datasets into clear, narrative-driven insights for stakeholders.
• Democratize Data: Scale self-service analytics by implementing intuitive tools and providing the training necessary for business users to find their own answers.
• Deliver Outcomes: Focus on measurable business results, ensuring that every BI solution implemented results in improved processes or smarter decision-making.

Required Education and Experience

• Bachelor’s degree in a related field (e.g., Data Science, Information Systems, Business Analytics) or equivalent years of specialized training and professional experience.
• 7+ years of progressive experience in Business Intelligence, Analytics, and Data Management, including proven history of designing and scaling enterprise-grade data solutions in a multi-cloud environment.
• Demonstrated experience leading large-scale BI and Analytics initiatives within complex organizational structures.
• A track record of strategic collaboration with key stakeholders and executive leadership to align data initiatives with overarching organizational goals.
• Deep expertise in data architecture, logical and physical modeling, SQL, and Big Data platforms. A solid understanding of database design and optimization techniques to ensure high-performance data retrieval.
• Strong grasp of