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Data Analyst at Commonwealth Care Alliance

Posted in Other 30+ days ago.

Location: Boston, Massachusetts





Job Description:




Why This Role is Important to Us

The Data Analyst (DA) at Commonwealth Care Alliance (CCA) is an analytics-heavy role which requires an expert understanding of CCA's data assets and analytics/insights and their utility to the clinical/business organization. Meanwhile it is also a service-oriented and implementation-focused role with cross-functional expertise in clinical/business and data domains. This role conducts collaboration with many different clinical/business stakeholders to implement data/insight products (multiple concurrently) that improve:



  1. The clinical and quality of life outcomes of CCA's member, patients, clients

  2. The delivery of care coordination, care management, direct care, and other services to CCA's members, patients, clients.



Internally, the DA works closely with Product Managers, Data Scientists, Data Engineers and Machine Learning Engineers to help the entire workflow of generating and maintaining data/insight products for clinical/business processes/outcomes of interest, playing an instrumental role in the team effort that builds a data-informed, compassion-guided clinical organization.


Externally, the DA leverages relationship management, coaching, and discovery practices to:



  1. Understand the needs from stakeholders, prioritize, complete and deliver the results back

  2. Ensure clinical/business stakeholders uptake and derive value from CCA's data/insights

  3. In partnership with Product Managers, play the role of a data product coordinator, provide the "customer voice", and solicit regular customer feedback to shape data product development that anticipates needs or addresses deficiencies.



The DA has adjacent knowledge of data science, data engineering, product sense and analyst practices and CCA infrastructure to best perform the "bridging" actions. Besides working with functions of the Data Science team, this role is highly collaborative with other data-focused departments at CCA, including but not limited to Business Intelligence, Actuarial, and IT departments.

Actual Work Location
30 Winter Place, Boston, Massachusetts 02108

All Locations
30 Winter Street

Exempt / Not Exempt
Exempt




What You'll Be Doing


  • Work closely with Product Managers, Data Scientists, Data Engineers and Machine Learning Engineers on scoping, coordinating, building, delivering and maintaining our data products



    • Coordinate interactions with CCA clinical/business stakeholder across departments with different background as the internal "services relationship coordinator"

    • Maintain our internal Looker community with hundreds of users and provide education to users on Looker and ensure the uptake of our predictive data products/platforms

    • Design and make Looker dashboard as front-end of our data products

    • Conduct data analytics using SQL or Python/R to provide insights about clinical data and answer ad-hoc questions from stakeholders, which helps CCA clinical and business leaders make better, data-informed decisions


    Conduct database development using SQL and LookML to create/maintain data-table and stored procedures


What We're Looking For
Master degree or Bachelor degree + 3 years of equivalent work experience (STEM major or related field preferred)
Master degree or Bachelor degree + 3 years of equivalent work experience

Technical skills:



  • Require advanced SQL expertise

  • Require experience in data process and analytics

  • Require experience in data visualization tool (e.g. Looker, Tableau)


Soft skills:



  • Be organized and flexible



    • Take initiative to own projects

    • Strong interpersonal and stakeholder management skills

    • Be able to and happy to "educate" audiences

    • Be able to work with interdisciplinary team


    Be able to extract insights from data analytics and explain to tech/non-technical audiences

  • English


Desired skills:

Technical skills:



  • Prefer experience with data science tools, e.g. python, R

  • Prefer knowledge of machine learning, modeling, and analysis practices or methodologies

  • Prefer experience with cloud data warehouses and cloud provider services (e.g., GCP, AWS, Azure)

  • Prefer knowledge of ELT practices, scripting, API usage, cloud SaaS applications

  • Prefer basic Linux experience


Prefer experience with a healthcare organization and healthcare data





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