Client-Facing Analytics Associate | Advanced Modeling & Insights

Zs Associates; Princeton (NJ); Hybrid; USD 80,000 - 110,000; Full time

Benefits offered by this job

Hybrid work model

Travel opportunities

Job summary

ZS Associates in the United States is seeking a data analytics professional to join our Insights & Analytics group. You will develop and apply advanced statistical models, use data to guide client decisions, and design analyses in R, Tableau, SAS, and VBA to inform client needs.

As a team member, you will build client relationships, provide project updates, and mentor junior staff while contributing to cross-functional problem solving across engagements.

Qualifications

• Quantitative degree with strong academic record.
• Up to 3 years post-college experience.
• Fluency in English.
• Proficiency in programming and analytics tools.

Responsibilities

• Develop and apply advanced statistical models for client issues.
• Leverage analytics to guide client and team decision‑making.
• Design analyses in R, Tableau, SAS, VBA to inform needs.
• Synthesize and communicate results to clients and teams.
• Develop client relationships and serve as key contact.
• Provide project status updates to clients and teams.
• Create deliverables and implement data‑driven solutions.
• Mentor Associates and advance problem‑solving skills.

Skills

Advanced statistical modeling

Data analytics

Client communication

Team mentorship

English fluency

Education

Bachelor's or master's degree in quantitative discipline (e.g., statistics, math, OR, data science)

Tools

R

SAS

Tableau

Visual Basic / VBA

Python

Hadoop ecosystem

Job description

ZS Associates in the United States is seeking a data analytics professional to join our Insights & Analytics group. You will develop and apply advanced statistical models, use data to guide client decisions, and design analyses in R, Tableau, SAS, and VBA to inform client needs.

As a team member, you will build client relationships, provide project updates, and mentor junior staff while contributing to cross-functional problem solving across engagements.