Our analytics team develops deep user insights based on hundreds of millions of transactions in India. The role is with the PayU India Innovations team, with specific focus on creating digital Insights from PayU Payments data to improve effectiveness of marketing spends of clients. PayU Payments data has emerged as a powerful source of information.

Example use cases are:

Identifying HNI users requiring wealth management product for a Banking partner
Identifying consumers with passion for travel for holiday lifestyle company
Identifying credit-worthy cosumers with propensity for personal loan
Identifying digitally savvy consumers for online banking products
Identifying affluent food lovers for dining business

Joining our analytics team offers you the chance to make a difference to wide range of businesses in a rapidly growing market. Deep insights driven customer management and acquisition are critical drivers of growth and profitability of virtually every business today. Therefore, PayU Innovations is building out its digital insights and AI/ML capabilities and will continue to do so in the coming years. You will be able to help shape the efforts at PayU towards this objective.

Key Responsibilities:

Lead and mentor a team of business analysts and data scientists, work with large and complex data sets to solve business problems, applying advanced analytical methods
Own and lead audience analytics projects by building deep insights driven user personas and best-in-class audience insights platform
Drive success with clients for audience analytics practice from understanding requirements to delivering the best-in-class insights to improve their marketing spend efficiency
Work on innovative AI / ML solutions predicting users online behaviour to help PayU merchants in customer acquisition and customer management
Expedite root cause analyses/insight generation against a given recurring use case through automation/self-serve platforms
Work closely with PayU internal partners (eg Business and Technology teams) to design and implement optimal solutions
Establish data governance policies, standards, and best practices and ensure data quality, integrity, and security across all data sources
Access to 5000+ training courses accessible anytime/anywhere to support your growth and development (Corporate with top learning partners like Harvard, Coursera, Udacity)

Requirements to be successful in this role:

A degree in Statistics, Business Administration, Computer Science, Mathematics or other similar quantitative field from a premier institute
5+ years of experience in analytics/data science or a related field with leadership experience in managing teams
Good experience in deriving insights and/or building machine learning in R/Python and SQL
Ability to directly implement solutions and see them in action; critical partner for all decision-making in the organization
Excellent communication and stakeholder management skills and demonstrated focus for client / customer satisfaction, with the ability to convey complex data insights to non-technical audiences
Strong problem-solving skills with the ability to understand and execute complex analysis
Detail-oriented with the ability to self-direct work in an unstructured environment and strong problem-solving and critical thinking skills, with a customer-centric mindset
Should be a great people leader who promotes knowledge-sharing and inclusivity

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Manager - Business Analytics