Decision Analytics Associate
ZS
South San Francisco, CA0–3 yrs3h agovia LinkedIn
This job at a glance
- Who can apply
- New grads and up to 3 years · Bachelor's degree or Master's degree
- Must know
- StatisticsRExcelTableauPythonJava
- Work
- On-site in South San Francisco
- Pay
- Not stated by the employer.
- Listed
- Nov 11, 2026 · still open
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Key Responsibilities
- Develop and apply advanced statistical models to understand dynamic business issues.
- Leverage analytic techniques to guide client and ZS team decision-making.
- Design custom analyses in R, Tableau, SAS, Visual Basic, and Excel.
- Synthesize and communicate results to clients and ZS teams through oral and written presentations.
- Develop client relationships and serve as a key point of contact on project aspects.
- Provide project status updates to client and ZS teams.
- Create project deliverables and implement solutions.
- Advance problem-solving skills and improve ZS’s capabilities.
- Guide and mentor Associates on teams.
Requirements & Tech Stack
- Fluency in English.
- Knowledge of programming, including Java, Python, or R.
- Exposure to tools/platforms such as the Hadoop ecosystem and database systems.
- Demonstrated proficiency in a programming language or analytic tool like R, SAS, Tableau, or VBA.
- Proficient in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook).
- Client-first mentality.
- Intense work ethic.
- Collaborative spirit and problem-solving approach.
Qualifications
- Bachelor's or master's degree in any discipline with a strong record of academic success in quantitative and analytic coursework (e.g., operations research, applied mathematics, management science, data science, statistics, econometrics, or engineering).
- Candidates must have completed their degree and be available to start full-time employment in 2026.
- Up to 3 years of relevant post-collegiate job experience.
- High motivation, good work ethic, maturity, and personal initiative.
- Effective oral and written communication skills.
- Empathy, adaptability, and emotional intelligence.
- Strong attention to detail, with a quality-focused mindset.
- Self-discipline for planning and organizing tasks.
- Aptitude for, and enjoyment of, working in teams.