Data Analyst - Health Systems and Services
McKinsey & Company · San Jose, Costa Rica · 2d ago
Mid levelOn-siteData & Analytics
Who you'll work with
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.
When you join us, you will have:
- Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
- A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
- Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
- World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
What you'll do
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.
You will 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.
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.
You will 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.
Your background
- Bachelor’s degree in Engineering, Computer Science, or equivalent area
- 1+ years of experience in the field of business intelligence, application development, database development and ETL and/or data analysis domains with Big Data: SQL, Databricks 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
- Healthcare domain knowledge not required, but interest in healthcare appreciated
- Travel expectation: less than 10%
- Strong written and verbal communication skills in English