• Quality & Patient Safety Senior Data Analyst

    Location US-MA-Boston
    Job Posted Date 2 months ago(8/16/2019 11:39 AM)
    Job ID
    IT/Health IT/Informatics
    full time
  • Overview

    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.


    The Clinical Operations and Business Analytics (COBA) team is part of the strategic initiative at DFCI to enable the transformation of data into insights and actionable information to the different operational, clinical, and business departments across the institute. In pursuit of these goals, the COBA team is seeking to hire a Senior Data Analyst to support the growing analytics capability of Quality & Patient Safety (QPS) Department at DFCI. DFCI’s Quality & Patient Safety (QPS) Department relies heavily on data to generate reports to internal committees and external regulatory bodies, measure the success of institution-wide quality improvement initiatives, and produce quality and safety-related insights. The QPS Senior Data Analyst (SDA) will support the aforementioned data needs of the department and the Quality Assurance and Performance Improvement (QAPI) plan. DFCI’s QAPI plan defines expectations for use of objective measures to monitor and improve the quality of services provided to DFCI patients.  These measures are calculated from a multitude of sources and reported on a quarterly basis.  The SDA will work with various stakeholders to understand these data sources and work to streamline DFCI’s QAPI metrics into an automated online dashboard. 


    The QPS SDA must develop an in-depth understanding of DFCI’s wide range of data sources and data structures as well as the ability to translate quality and safety-related business specifications into data models that enable reporting and new insights. In addition, the QPS SDA must have excellent communication skills and ability to engage and educate the analytic community on how to leverage the variety of data sources. The QPS SDA will be expected to work in a team as well as independently within a fast-paced environment, work on several different projects/tasks concurrently and serve as a data advisor to projects related to quality and patient safety. Assignments will include data engineering, validation, documentation and management. The QPS SDA will work with a variety of tools (ex: SQL, Tableau, Excel, etc.) to access data, write queries, develop programming logic, run reports, manipulate, and analyze large datasets to meet the needs of the QPS Department. The Mission, Vision, and Core Values of the Dana-Farber Cancer Institute are incorporated into all areas of practice.


    • Serve as QPS Department’s technical expert in compiling, cleaning, manipulating, and analyzing quality and patient safety data from multiple data sources to support various stakeholders.
    • Identify and integrate disparate data sources, both internal and external, including raw and unstructured data from technical and non-technical teams.
    • Utilize business intelligence tools (e.g. Tableau, etc.) to create reports and dashboards.
    • Document data and build requirements according to standard practice.
    • Ensure that deliverables are of highest quality.
    • Support analytics capacity building activities.
    • Collaborate with QPS Department stakeholders, Clinical Operations and Business Analytics (COBA) team members, DFCI data owners, and data warehousing partners to prioritize and generate robust data sources to serve as institutional sources of truth on key quality and patient safety metrics.
    • Immediately bring to the attention of the COBA Lead and Quality Analytics Program Manager issues, concerns and problems which may hinder achievement of deadlines and or/ accomplishments of responsibilities.
    • Perform other similar and related duties as required or directed.


    • Bachelor’s degree in relevant field such as Computer Science, Information Technology, Mathematics, Statistics, Public Health, etc.
    • 3+ years relevant data analysis experience in healthcare industry
    • Must have expertise in SQL and data mining techniques to query and manipulate data from multiple sources, and perform data analysis to troubleshoot data integrity issues.
      • Fluency in SQL server, MySQL or Oracle SQL in support of the utilization of relational databases across DFCI and the ability to independently program in these systems.
      • Familiarity with best practices for designing and managing relational databases.
    • Experience with business intelligence tools, such as Tableau, and an understanding of how data structures impact design and development of business intelligence tools.
    • Must be comfortable documenting business and data requirements, reporting, analytics, and visualization processes.
    • A strong desire to explore, investigate, dig, and generally uncover patterns and puzzles in data while maintaining a strong sense of thoughtful and pragmatic solutions.
    • Competent with Microsoft Office suite software (e.g., Excel, Word, PowerPoint, Outlook, Visio).
    • Must be detail oriented.
    • Must be able to function independently in a fast-paced environment while managing multiple priorities.
    • Must have superior interpersonal and communication skills to effectively work and communicate business logic and data models to different 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.


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