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Decision Analytics Jobs (NOW HIRING)

ZS

Health Plan Decision Analytics Manager

Chicago, IL · On-site

$200K - $229K/yr

Health Plan Decision Analytics Manager will... What You'll Do * Demonstrate deep health plan sector knowledge with a functional expertise in key business trends/topics - including but not limited to ...

Vcu Rrtc

Unit School Of Business MBU Department Master of Decision Analytics Weekend Program Duties & Responsibilities The Master of Decision Analytics Weekend Program in the School of Business at Virginia ...

Kaleida Health

Decision Support Analyst

Olean, NY · On-site

Decision Support Analyst Location: Olean General Hospital Location of Job : US:NY:Olean Work Type : Full-Time Shift 1 This position is responsible for maintaining the Decision Support system ...

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Decision Analytics information

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How much do decision analytics jobs pay per year?

As of Sep 5, 2026, the average yearly pay for decision analytics in the United States is $75,624.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $93,500.00 per year, depending on experience, location, and employer.

What is decision analytics?

Decision analytics is a field that uses data analysis, statistical models, and quantitative methods to help organizations make informed business decisions. Professionals in this area gather and analyze data to identify trends, forecast outcomes, and provide actionable recommendations. Their work supports strategic planning, risk assessment, and resource allocation across various industries. Decision analytics often involves using tools like predictive modeling, machine learning, and data visualization to guide decision-making processes.

What are the key skills and qualifications needed to thrive as a decision analytics professional, and why are they important?

To thrive as a Decision Analytics professional, you need a strong foundation in statistics, data analysis, and problem-solving, typically supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with data analytics tools such as SQL, Python, R, and business intelligence platforms, along with relevant certifications like Certified Analytics Professional (CAP), is often required. Strong communication, critical thinking, and the ability to translate complex data into actionable insights are standout soft skills. These skills are essential for driving data-driven decision-making and delivering strategic value to organizations.

What are the typical collaboration opportunities for professionals in decision analytics roles?

Professionals in Decision Analytics frequently collaborate with cross-functional teams, including data engineers, business analysts, product managers, and executives. Collaboration is essential for understanding business objectives, defining data requirements, and translating analytical insights into actionable strategies. Regular meetings, workshops, and presentations are common, as decision analytics specialists bridge the gap between raw data and strategic decision-making. This collaborative environment not only enhances the impact of their work but also provides networking and learning opportunities that can support career growth.

What is the difference between Decision Analytics vs Data Analyst?

AspectDecision AnalyticsData Analyst
Required CredentialsBachelor's or master's in analytics, statistics, or related fields; often certifications in analytics toolsBachelor's in statistics, mathematics, or related fields; may have certifications in data visualization or SQL
Work EnvironmentBusiness settings focusing on strategic decision-making, often in finance, marketing, or operationsData-focused roles across various industries, supporting reporting and data interpretation
Employer & Industry UsageUsed by companies seeking to optimize decisions through data-driven insightsCommon in tech, finance, healthcare, and other sectors for data reporting and analysis

Decision Analytics and Data Analysts both work with data, but Decision Analytics focuses on applying data insights to strategic business decisions, often requiring advanced analytics skills. Data Analysts primarily interpret data to generate reports and support operational needs. While overlapping, Decision Analytics roles are more strategic and complex.

What does a decision analytics do?

A decision analytics professional analyzes data to help organizations make informed business decisions. They use statistical methods, data modeling, and tools like Excel, SQL, or specialized analytics software to identify trends, evaluate options, and optimize outcomes. Strong analytical skills and knowledge of data visualization are essential in this role.
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Decision Analytics jobs near you
Infographic showing various Decision Analytics job openings in the United States as of August 2026, with employment types broken down into 85% Full Time, 11% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $75,624 per year, or $36.4 per hour.

Decision Analytics Associate Consultant - Pharma Analytics

ZS

South San Francisco, CA • On-site

$120K - $137K/yr

Full-time

Re-posted 2 days ago

Job description

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
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
  • Apply advanced analytics and data-driven problem-solving to address key business challenges within the pharmaceutical and life sciences industry.
  • Develop and apply advanced statistical models that help clients understand dynamic business issues.
  • Leverage analytic techniques to guide client and ZS team decision-making using data-driven insights.
  • Design custom analyses in R, Tableau, SAS, Visual Basic, Excel, and other analytical tools to investigate and address client needs.
  • Partner with senior client stakeholders to translate business questions into actionable analytical solutions and strategic recommendations.
  • Lead end-to-end project execution, including project planning, workstream management, stakeholder communication, and delivery of high-impact client engagements.
  • Leverage emerging AI and machine learning capabilities to enhance analysis, improve decision-making, and drive innovative client solutions.
  • Synthesize findings and present insights and recommendations to senior client leaders and cross-functional stakeholders through compelling oral and written communications.
  • Develop and maintain client relationships, serving as a key point of contact throughout project engagements.
  • Provide regular project status updates and manage deliverables to ensure successful outcomes for clients and ZS teams.
  • Create impactful project deliverables and support the implementation of client solutions.
  • Advance problem-solving approaches and contribute to the development of ZS's analytical capabilities and thought leadership.
  • Coach, mentor, and guide junior team members while fostering collaboration, professional development, and team success.

What You'll Bring
  • Bachelor's or master's degree required in any discipline with strong record of academic success in quantitative and analytic coursework such as operations research, applied mathematics, management science, data science, statistics, econometrics or engineering.
  • 2-4 years of relevant post-collegiate job experience. A PhD may substitute in lieu of work experience.
  • 2-4 years of experience in data analytics, business analytics, consulting, or related quantitative roles, preferably within the pharmaceutical, biotechnology, healthcare, or life sciences industries.
  • Demonstrated knowledge of pharmaceutical commercial analytics, including areas such as forecasting, patient analytics, market access, sales analytics, customer analytics, or real-world data applications.
  • Experience leading projects and managing multiple priorities in a fast-paced, client-facing environment.
  • Proven ability to influence and communicate effectively with senior stakeholders and executive-level audiences.
  • Experience applying AI, machine learning, generative AI, predictive analytics, or advanced analytical techniques to solve business problems within the last three years.
  • Prior experience mentoring, coaching, or leading junior team members on project teams.
  • Strong proficiency with analytical and visualization tools such as Python, R, SQL, Tableau, Power BI, SAS, or similar technologies.
  • 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.
  • Fluency in English.
  • Client-first mentality.
  • Intense work ethic.
  • Collaborative spirit and problem-solving approach.

Preferred Background
  • Experience supporting pharmaceutical, biotechnology, healthcare, or life sciences clients through data-driven decision-making and analytics initiatives.
  • Consulting experience and exposure to commercial pharma functions such as brand strategy, forecasting, market access, patient services, or field operations preferred.

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
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About ZS

Sourced by ZipRecruiter

Industry

Business management consulting

Company size

10,000+ Employees

Headquarters location

Evanston, IL, US

Year founded

1983

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