Associate Consultant - Customer Success

Job description   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 :
Deep analytics-tech expertise:
Develop and implement  advanced algorithms  that solve complex business problems in a computationally efficient and statistically effective manner  leveraging tools like PySpark, Python, SQL  on Client/ZS cloud environment
Execute  statistical and data modelling techniques  (e.g. hypothesis testing, A/B Testing setup, marketing impact analytics, statistical validity etc.) on large data sets to identify trends, figures and other relevant information with scalable and operational process implementations.
Evaluating  emerging datasets and technologies  that may contribute to our analytical platform including good understanding of Generative AI capabilities and SaaS products.
Communication, collaboration, unstructured problem solving and client engagement (in a high performing and high intensity team environment):
Problem solving and Client engagement :
Understand client business priorities, develop product use cases, do proforma analysis for estimating business opportunity, and deploy the use case for the clients.

Collaboration:

Work in a cross-functional team environment to lead the client engagement and collaborate on holistic solutions comprising of best practices from Frontend and Backend engineering, Data Science, and ML Engineering area.
Storyboarding & impact communication :
Build effective storyboards to communicate solution impact to clients and ZS Leadership
Scaling mindset:  Provide a structure to client engagement, build and maintain standardized and operationalized Quality Checks on teams work and ensuring high quality client deliverables
Team management :
Export best practices and learnings to broader team and mentor Associates on teams
What Youll Bring:
Bachelor's degree in Computer Science (or Statistics) from a premier institute, and strong academic performance with analytics and quantitative coursework is required
Knowledge of programming - Python (Deep Expertise), Pyspark, SQL
Expertise in machine learning, regression, clustering, and classification models (preferably in a product environment)
Knowledge of big data/advanced analytics concepts and algorithms (e.g. social listening, recommender systems, predictive modeling, etc.)
Excellent oral and written communication skills
Strong attention to detail, with a value-addition mindset
Excellent critical thinking and problem-solving skills
High motivation, good work ethic and maturity.
3-5 years of relevant post-collegiate work experience, preferably in industries like B2C, Product companies, in execution roles focused on Data & Decision Sciences, Data Engineering, Stakeholder management and building scalable processes.
Should have hands on analytics experience where the candidate has worked on the algorithms / methodology from scratch and not merely executed existing codes and processes.
Ability to coach, mentor juniors on the team to drive on the job learning & expertise building

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