Software Delivery Data Analyst - Social, Healthcare and Public Entities ( SHaPE) - McKinsey & Company

QUALIFICATIONSBachelor’s degree in Engineering, Computer Science, or equivalent area2+ 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 knowledgeHands-on coding and application experience with programming languages like Python or similar scripting languagesExperience in PySpark and Databricks environments a plusAbility 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 problemsComfortable with ambiguity and rapid changes common in early-stage product developmentStrong written and verbal communication skills in EnglishHealthcare domain knowledge not required, but interest in healthcare appreciatedTravel expectation: less than 10%WHO YOU'LL WORK WITHYou’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.You'll be based in San Jose, Costa Rica, but collaborate with our Healthcare Analytics teams across North America in different time zones.Our Healthcare Analytics group leverages a big-data analytics platform that includes 100 terabytes of integrated claim, encounter, clinical, consumer, and other data.
The team consists of 100 dedicated experts and 250 affiliated professionals with industry, advanced analytics, statistics, clinical, and software expertise, all of whom work to design, deliver, and operate advanced analytic tools to help healthcare clients around the world.WHAT YOU'LL DOOur data analysts work to 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.  Data analysts 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.