Advanced Analytics Associate Consultant

Posted Yesterday
Be an Early Applicant
2 Locations
Hybrid
120K-137K Annually
Mid level
Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
Where passion changes lives
The Role
Develops advanced analytics and machine learning models for client business challenges, particularly using pharmaceutical and healthcare data. Translates complex analyses into actionable business recommendations, communicates findings to clients, manages analytical workstreams, supports project milestones, builds client relationships, and mentors junior team members.
Summary Generated by Built In
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.
Insights & Analytics Associate Consultant
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.
What You'll Do
  • 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

What You'll Bring
  • 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

How you'll grow:
  • Cross-functional skills development & custom learning pathways
  • Milestone training programs aligned to career progression opportunities
  • Internal mobility paths that empower growth via s-curves, individual contribution and role expansions

Perks & Benefits:
At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well-being, financial future, time away, and professional development. With robust skills-building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you'll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community. For details on total rewards in United States , visit ZS US office locations | Where we work | ZS .
Hybrid working model:
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.
Travel:
Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.
Considering applying?
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 integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive.
If you're eager to grow, contribute, and bring your unique self to our work, we encourage you to apply.
ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.
Work Authorization:
This position is not eligible for visa sponsorship. Candidates must have authorization to work in the United States that does not now or in the future require employer sponsorship.
To complete your application:
An on-line application, including a full set of transcripts (official or unofficial), is required to be considered.
NO AGENCY CALLS, PLEASE.
Find Out More At:
www.zs.com
Salary: $120,000.00 - $137,000.00

Skills Required

  • Bachelor's or master's degree in data science, statistics, applied mathematics, operations research, econometrics, engineering, or a related quantitative discipline
  • 2-4 years of relevant post-collegiate experience, or a PhD in lieu of work experience
  • Consulting experience involving advanced analytics, data science, or analytics-driven strategy
  • Experience building and leading advanced analytics models
  • Experience with machine learning models and techniques
  • Ability to connect analytics and modeling to business problems and client objectives
  • Knowledge of pharmaceutical data sources and complex healthcare or life sciences datasets
  • Healthcare, pharmaceutical, or life sciences industry experience
  • Ability to independently manage analytical workstreams and collaborate directly with clients
  • Strong communication and presentation skills, including explaining complex analytical concepts clearly
  • Strong problem-solving skills and comfort with ambiguous business questions
  • High motivation, maturity, and personal initiative
  • Strong attention to detail and quality-focused mindset
  • Collaborative, client-first approach and ability to work effectively in teams
  • Fluency in English
  • Authorization to work in the United States without current or future employer sponsorship

What the Team is Saying

Ash Easwar
Suzanne Boyan
Kristina Sambucci
Callum Brazier
Michelle Lu
Mike Vula
Mina Labib
Judith Kulich
Anna Simon
Rachana Late
Bazgha Qutab
Ayush Kataria
Carolina Blanco
Kumar Ritwik
Emily Reynolds
Mahmood Majeed
Mahmood Majeed
Bazgha Qutab
Mahmood Majeed

ZS Compensation & Benefits Highlights

  • Healthcare Strength — Healthcare is described as a standout, with low‑cost medical through UMR/UnitedHealthcare, fully covered vision with an eyewear allowance, and mental‑health resources such as Talkspace, Bend Health, and a 24/7 EAP. Dental coverage is detailed as strong as well, including 100% for preventive/basic services and additional support for major and orthodontic care.
  • Parental & Family Support — The package includes 10 weeks of paid family leave and extensive family‑forming support (e.g., Carrot), plus backup childcare/eldercare/pet care and travel support like Milk Stork. These offerings indicate robust support for a wide range of family needs.
  • Leave & Time Off Breadth — Paid time off starts at 15 days from hire and increases to 20 days after 36 months, alongside 11 paid holidays, a floating holiday, and sick time with rollover. This structure signals broad time‑off provisions on paper.

ZS Insights

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The Company
HQ: Evanston, IL
15,000 Employees
Year Founded: 1983

What We Do

ZS is a management consulting and technology firm that partners with companies to improve 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. Founded in 1983, ZS has more than 15,000+ employees in over 40 offices worldwide.

Why Work With Us

ZS is home to passionate people who embrace innovative thinking, collaboration and a client-first mindset. Welcome to a company where new ideas are celebrated, curiosity is welcomed, learning opportunities are abundant and colleagues become lifelong connections.

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Hybrid Workspace

Employees engage in a combination of remote and on-site work.

The Flexible & Connected model is our ZS standard. ZSers decide where it makes the most sense for them to work each day given client or teamwork.

Typical time on-site: 3 days a week
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