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About Company :
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 13,000 employees in over 35 offices worldwide. To learn more, visit www.zs.com/ At ZS, our mission is to inspire each other to bring our unique perspective and experience to work each day. When you join our firm, you have access to a wealth of community groups to support you, energize you and inspire you to bring your authentic self to work each day.
Job Description :
Decision Analytics Associate- (DAAs) are active participants in creating and delivering solutions for our clients and project teams. BAs leverage their analytic skills to derive insights and solve problems. In particular, BAs employ advanced analytic techniques in areas such as modeling, simulation and optimization.
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The role of a Decision Analyst is critical in today’s data-driven economy, as organizations of all sizes rely on data-driven insights to make strategic decisions. A Decision Analyst typically has strong skills in quantitative analysis, as well as experience with a variety of analytical tools and techniques.
Roles and Responsibilities :
- Develop and apply advanced statistical models that help clients understand dynamic business issues.
- Leverage analytic techniques to use data to guide client and ZS team decision-making.
- Design custom analyses in R, Tableau, SAS, Visual Basic and Excel to investigate and inform client needs.
- Synthesize and communicate results to clients and ZS teams through oral and written presentations.
- Develop client relationships and serve as key point of contact on aspects of projects.
- Provide client and ZS teams project status updates.
- Create project deliverables and implement solutions.
- Advance problem-solving skills and improve ZS’s capabilities.
- Guide and mentor Associates on teams.
Basic Qualifications
- 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.
- Up to 3 years of relevant post-collegiate job experience.
- Fluency in English.
- Knowledge of programming (e.g., Java/Python/R).
- Exposure to tools/platforms (e.g., Hadoop eco system and database systems).
- Demonstrated proficiency in a programming language or analytic tool such as R, SAS, Tableau, or VBA.
- 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.
