• Analytics Associate, Clinical Operations & Business Analytics

    Location US-MA-Boston
    Job Posted Date 2 weeks ago(2/14/2020 4:31 PM)
    Job ID
    2020-18563
    Category
    IT/Health IT/Informatics
    Type
    full time
    Grade
    22
    Location : Address
    450 Brookline Ave
    Location : City
    Boston
  • Overview

    Do you enjoy solving problems with data? Do you want to make an impact with your work at a mission driven, world class medical center? Do you want to know that your analytics work is viewed organizationally as a strategic differentiator? The Clinical Operations and Business Analytics Team (COBA) is expanding and looking for problem solvers who want to drive administrative savings back to patient care and research. COBA is a subdivision of the Dana-Farber Informatics and Analytics department led by the Chief Health Information Officer that is responsible for building a world class analytics environment, enabling measurability and transparency of key institute KPIs for improved decision making.

     

    As the Institute continues to expand, executive leadership at Dana-Farber recognizes the overall impact of analytics on our physicians, researchers and most importantly, our patients. This recognition comes with a committed investment in the COBA team to build the data and analytics infrastructure that will continue to fuel the Institute’s growth.

     

    The COBA Team is currently seeking 1-2 new team members at the Associate or the Senior Associate level. 

     

    Located in Boston and the surrounding communities, Dana-Farber Cancer Institute brings together world renowned clinicians, innovative researchers and dedicated professionals, allies in the common mission of conquering cancer, HIV/AIDS and related diseases. Combining extremely talented people with the best technologies in a genuinely positive environment, we provide compassionate and comprehensive care to patients of all ages; we conduct research that advances treatment; we educate tomorrow's physician/researchers; we reach out to underserved members of our community; and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.

    Responsibilities

    As an Analytics Associate on the COBA Team, you will help evolve and scale a wide range of analytics at Dana-Farber by empowering various stakeholders in groups such as Finance, Revenue Cycle, Research Administration, Philanthropy and Innovation. You will be tasked with providing accessible, easy to understand and insightful data products that makes regular reporting easy, root cause analysis rich and effective, and insight to action lightning speed. As we embrace advanced analytics, you will help build the foundation of our predictive modeling capabilities to empower decision makers to make more informed choices. On the COBA team, you will be part of building an analytics Center of Excellence that drives data-driven insights and teaches others to apply analysis in ways that improves lives both today and in the future. 

    • Consult with internal stakeholders on their analytical needs. Deliver valuable insights from a broad range of healthcare data using a variety of tools and techniques (e.g. SQL, Excel, Tableau, R, SAS, Python etc.).
    • Serve as a critical link between the data warehouse team and internal stakeholders to ensure data is accessible for reporting needs.
    • Curate useful and specific data to influence strategic decision making: write queries, run reports, synthesize data, interpret and explain results of analysis.
    • Provide clean data sets to end users through data transformation.
    • Define, instrument, and maintain new and existing department and Institute-level KPIs.
    • Build beautiful and thoughtful data visualizations using Tableau to accelerate information-to-action at scale (for example, describing performance of KPI’s for leadership and helping operators on the front line take action towards process/performance improvement); free up opportunity for root cause problem solving.
    • Maintain and improve data products iteratively with stakeholder feedback

    Qualifications

    • Bachelor’s degree in Statistics, Information Technology, Mathematics, Public Health, or related domain. Master’s preferred.
    • 2+ years of experience in Analytics or Business Intelligence performing quantitative analysis required; preferably within the healthcare or life sciences field, but not required.
    • A combination of education and/or equivalent work experience in Revenue Cycle Operations, Healthcare Finance, Business Administration, Public Health Administration, or other related field may be substituted for requirements.
    • Proficient at writing complex SQL queries that blend together data from dozens of sources for analysis, visualization, or reporting required
    • Experience translating business needs into technical requirements to build and transform data into valuable, easy to understand insights.
    • Hands on experience building data visualizations (preferably in Tableau) to communicate complex ideas and enable data-driven decision making at all levels of the organization.
    • Familiar with analytical tools including Python, Matlab, R, SAS, Stata; demonstrated ability to learn technologies quickly through instruction and self-training.
    • Working knowledge of Epic billing system a plus, but not required.
    • Ability to function independently in a fast-paced environment while managing multiple priorities.
    • Superior interpersonal and communication skills and a history of effectively working and communicating with all levels of internal and external technical and non-technical staff.

    Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other groups as protected by law.

    Options

    Sorry the Share function is not working properly at this moment. Please refresh the page and try again later.
    Share on your newsfeed

    Connect With Us!

    Not ready to apply? Connect with us for general consideration.