Advanced Analytics Associate Consultant

ZS•South San Francisco, CA
•Hybrid

About The Position

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ZS. ZS’s Insights & Analytics group partners with clients to design and deliver solutions that help them tackle complex business challenges. Our teams leverage advanced analytics, data science, and problem-solving techniques to turn data into actionable insights and recommendations. For this opportunity, we are looking for an Associate Consultant with a strong advanced analytics and data science background, ideally within healthcare or life sciences. This role blends traditional Decision Analytics consulting with hands-on advanced analytics and modeling. You’ll work directly with clients to understand their business challenges, determine the right analytical approach, and translate complex model outputs into clear, actionable recommendations.

Requirements

  • Bachelor's or master's degree in a quantitative or analytical discipline such as data science, statistics, applied mathematics, operations research, econometrics, engineering, or a related field
  • 2–4 years of relevant post-collegiate experience; a PhD may substitute in lieu of work experience
  • Consulting experience, ideally involving advanced analytics, data science, or analytics-driven strategy
  • Demonstrated experience building and leading advanced analytics models
  • Experience with machine learning models and techniques
  • Strong ability to connect advanced analytics and modeling to broader business problems and client objectives
  • Knowledge of pharmaceutical data sources and the ability to work with complex healthcare or life sciences datasets
  • Healthcare, pharmaceutical, or life sciences industry experience preferred
  • Ability to independently manage analytical workstreams and collaborate directly with clients
  • Strong communication and presentation skills, particularly the ability to explain complex analytical concepts and findings in a clear, business-focused way
  • Strong problem-solving skills and comfort working with ambiguous business questions
  • High motivation, maturity, and personal initiative
  • Strong attention to detail and a quality-focused mindset
  • Collaborative, client-first approach and ability to work effectively in teams
  • Fluency in English
  • Candidates must have authorization to work in the United States that does not now or in the future require employer sponsorship.

Nice To Haves

  • Healthcare, pharmaceutical, or life sciences industry experience preferred

Responsibilities

  • Approach complex client business problems using advanced analytics, data science, and structured problem solving
  • Lead and support the development of advanced analytical and machine learning models to address client business questions
  • Translate business challenges into appropriate analytical approaches and modeling solutions
  • Leverage large and complex datasets to identify trends, generate insights, and inform client decision-making
  • Apply knowledge of pharmaceutical and healthcare data sources to support analyses and recommendations
  • Design and execute custom analyses using appropriate statistical, analytical, and data science techniques
  • Take ownership of analytical workstreams and operate independently while collaborating closely with broader project teams
  • Synthesize complex analytical findings into clear business insights and actionable recommendations
  • Develop presentations and communicate analytical results directly to clients, including audiences that may not have technical backgrounds
  • Build strong client relationships and serve as a key point of contact on aspects of projects
  • Provide project status updates and help drive workstreams toward key milestones and deliverables
  • Guide and mentor Associates and other junior team members

Benefits

  • Comprehensive total rewards package that supports your health and well‑being, financial future, time away, and professional development.
  • Robust skills‑building programs
  • Multiple career progression paths
  • Internal mobility
  • Deeply collaborative culture
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