Data Analytics Consultant

1 month ago

New York, New York, United States ZS Full time

Data-Driven Insights

ZS is a dynamic company where passion transforms lives. As a management consulting and technology firm focused on revolutionizing global healthcare and beyond, our most valuable asset is our people. Here, you'll collaborate with a diverse collective of thinkers and experts shaping solutions from start to finish. At ZS, we believe that making an impact demands a different approach; and that's why here your ideas drive actions, and here you'll have the freedom to define your own path and pursue cutting-edge work. We partner collaboratively with our clients to develop innovative products that create value and deliver company results across critical areas of their business, including portfolio strategy, customer insights, research and development, operational and technology transformation, marketing strategy, and more. If you dare to think differently, join us, and find a path where your passion can change lives.

Our Most Valuable Asset: Our People

At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems—the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about.

Insights & Analytics

ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership.

What You'll Do

  • Develop and apply advanced statistical models to help clients understand dynamic business issues.
  • Leverage analytic techniques to use data to guide client and ZS team decision-making.
  • Design custom analyses in R, Tableau, SAS, Visual Basic, and Excel to investigate and inform client needs.
  • Synthesize and communicate results to clients and ZS teams through oral and written presentations.
  • Develop client relationships and serve as key point of contact on aspects of projects.
  • Provide client and ZS teams project status updates.
  • Create project deliverables and implement solutions.
  • Advance problem-solving skills and improve ZS's capabilities.
  • Guide and mentor Associates on teams.

What You'll Bring

  • Candidates should be starting their second-to-last year of their doctorate degree (with the internship taking place the summer before their final year) in engineering (any branch), mathematics, or other heavily quantitative discipline, and strong academic performance with analytic and quantitative coursework is required.
  • High motivation, good work ethic, maturity, and personal initiative.
  • Strong oral and written communication skills.
  • Empathy, adaptability, and emotional intelligence.
  • Close attention to detail, with a quality-focused mindset.
  • Self-discipline for planning and organizing tasks.
  • Aptitude for, and enjoyment of, working in teams.

Perks & Benefits

ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth, and professional development. Our robust skills development programs, multiple career progression options, and internal mobility paths and collaborative culture empower you to thrive as an individual and global team member.

We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.

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