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Dana-Farber Cancer Institute

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Boston, MA, USA

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"Senior Business Intelligence Analyst"

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Senior Business Intelligence Analyst

The Enterprise Data & Analytics (ED&A) team at Dana-Farber Cancer Institute is seeking a Senior Business Intelligence Analyst. In partnership with Business Strategy, the Senior Business Intelligence Analyst builds claims-based analytical models, integrates clinical and operational data, measures key clinical and operational metrics, and delivers analyses that inform Institute growth, resource allocation, and process improvement. Ongoing projects encompass market analyses from claims, referral tracking, and performance measurement for strategic initiatives, all of which are delivered as decision-grade reports and executive summaries for operating and strategy reviews.

The Enterprise Data & Analytics (ED&A) team is a subdivision of the DFCI Informatics and Analytics department led by the Chief Health Information Officer. Given access to an extraordinary range of healthcare data (including medical and pharmacy claims, enrollment, EMR, scheduling, billing, referral and laboratory results), the ED&A team is relied upon to drive the transformation of data into valuable and actionable insights. The team supports areas such as quality, operations and most importantly, patient care.

The Senior Clinical Operations Analyst will work with a variety of tools (e.g. SQL, Excel, Tableau, etc.) to dive into the data, build interactive tools, and own the sources of truth necessary to meet the needs of the Institute.

This role is hybrid with the expectation of being on site 1-2 days per week.

Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS, and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.

  • Responsible for working on multiple (2-3) projects simultaneously supporting multiple business stakeholders
  • Collaborate with manager to identify high level business need, develop project charter, and consult with the business to define scope
  • Lead business requirement gathering
  • Identify data source(s) and develop technical data design requirements
  • Develop viz wireframes and leverage BI tools to craft visualizations and dashboards
  • Write SQL queries to develop data sources
  • Collaborate with internal teams and stakeholders for QA and UAT
  • Conduct stakeholder training
  • Share knowledge within ED&A and train analysts on common tasks
  • Contribute to development of analytic assets that can be used institute wide
  • Address stakeholder feedback, concerns and aim to deliver a high-level of customer service

KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED:

  • Proficient with SQL
  • Proficient with BI tools e.g., Tableau
  • Proficient navigating Epic Hyperspace to Clarity Data Model to data warehouse
  • Able to set appropriate expectations, discuss and present results to customer in formal settings, share ideas accurately and communicate them effectively, both in writing and verbally with supervisory oversight
  • Ability to contribute to the development and growth of others
  • Strong interpersonal skills with ability to effectively interact with all levels of staff
  • Excellent analytical, organizational, and time management skills
  • Excellent attention to detail and accuracy
  • Curious and motivated learner

MINIMUM JOB QUALIFICATIONS:

The position requires a bachelor’s degree in a STEM field and at least 3 years of relevant experience, including 1 year in healthcare. Experience with Tableau and Clarity Data models is preferred.

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