Data Analyst - Health Systems and Services
McKinsey & Company
San Jose, Costa Rica
hace 3 días
  • Bachelor’s degree in Engineering, Computer Science, or equivalent area
  • 1-4 years of experience in the field of business intelligence, application development, database development and ETL and / or data analysis domains with Big Data : SQL, Hive and / or Spark knowledge
  • Hands-on coding and application experience with programming languages like Python or similar scripting languages
  • Ability to translate business requirements and excellent time management skills (manage estimated workload according to scope)
  • Demonstrated willingness and ability to engage with teams and collectively solve complex problems
  • Comfortable with ambiguity and rapid changes common in early-stage product development
  • Strong written and verbal communication skills in English
  • Healthcare domain knowledge not required, but interest in healthcare appreciated
  • Travel expectation : less than 10%
  • You'll be based in San Jose, Costa Rica, but collaborate with our HealthcareAnalytics teams across North America in different time zones.

    You’ll work with our data delivery team alongside data scientists, tool developers, consultants and clients on projects that use complex data and advanced modeling to solve client problems and deliver significant measurable impact.

    We have the freedom to try new ideas, experiment and are expected to be constantly learning and growing.

    Our Healthcare Analytics group leverages a big-data analytics platform thatincludes 100 terabytes of integrated claim, encounter, clinical, consumer, andother data.

    The team consists of 100 dedicated experts and 250 affiliatedprofessionals with industry, advanced analytics, statistics, clinical, andsoftware expertise, all of whom work to design, deliver, and operate advancedanalytic tools to help healthcare clients around the world.

    You'll provide data engineering expertise in client service. You will be responsible for coding and testing tools and assets to deliver high quality analytics to our customers.

    You will also perform the transformation, filtering, and aggregation of raw data into concise, accurate, and focused data marts or client specific data models.

    You may also be responsible for data-intensive ad hoc analytics, including novel analytics for which tools are not sufficiently push button.

    In addition, you may collaborate with the product and delivery team on the definition and requirements of analytics products, within an agile framework.

    You'll be an integral part of our team with opportunities for coaching and mentorship from your senior colleagues.

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