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Associate Consultant, Customer Success, BHCA: Customer Success Associate Consultant design, develop and execute high-impact analytics solutions for large, complex, structured, and unstructured data sets (including big data) to drive impact on client business (topline). This person will lead the engagement for AI based SaaS product deployment to clients across industries. Leverage their strong Data Science, analytics and engineering skills to build Advanced analytics processes, build scalable and operational process pipelines and find data-driven insights that help our clients solve their most important business problems and bring optimizations. Associate Consultants also engage with Project Leadership team and clients to help them understand the insights, summaries, implications and make plans to act on them.
What Youll Do:
What Youll Bring:
Role: Business Analyst
Industry Type: Analytics / KPO / Research
Department: Data Science & Analytics
Employment Type: Full Time, Permanent
Role Category: Business Intelligence & Analytics
Education
UG: B.Sc in Any Specialization
PG: Any Postgraduate
An experience with ZS means you’ll be encouraged to bring fresh thinking and co-create with industry-leading clients from day one. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping solutions from start to finish. At ZS, we believe that making an impact demands a different approach; and that’s why here your ideas elevate actions, and here you’ll have the freedom to pursue cutting-edge work and define your own path. Work side-by-side with like-minded people who rise in care of humanity’s greatest challenges to define what’s next. Join us and find a path where your passion can change lives.
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.
Job ID: 107507765
Skills:
Py Spark, Python, Customer Service, Data Analysis
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