Decision Analytics Associates (DAAs) design and execute analyses to address business problems for our clients and project teams. DAAs leverage their analytic skills to find data-driven insights that help our clients solve their most important business problems and engage with clients to help them understand the implications and make plans to act on them.

Decision Analytics Associates (DAAs) design and execute analyses to address business problems for our clients and project teams. DAAs leverage their analytic skills to find data-driven insights that help our clients solve their most important business problems, and engage with clients to help them understand the implications and make plans to act on them.

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;
• Use tools like R, Tableau, SAS, Visual Basic and Excel to investigate and inform client needs;
• Synthesize and communicate results to clients and ZS teams;
• Collaborate with client and ZS teams to implement solutions;
• Take immediate responsibility for project deliverables;
• Drive analysis and problem-solving and advance ZS’s capabilities.

Qualifications:
• Bachelor's  degree in Economics, Business Administration, Engineering, Data Science, Biotechnology or any related field, 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;
• From 6 months to 3 years of relevant post-collegiate job experience related to the role;
• 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.

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