About PayUPayU, a leading payment and Fintech company in 50+ high-growth markets throughout Asia, Central and Eastern Europe, Latin America, the Middle East and Africa, part of Prosus group, one of the largest technology investors in the world is redefining the way people buy and sell online for our 300.000
+ merchants and millions of consumers. As a leading online payment service provider, we deploy more than 400 payment methods and PCI-certified platforms to process approximately 6 million payments every single day. Thinking of becoming a PayUneer and you are curious to know more about us? Read more about the life in PayU here
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 (e.g. 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
- 10+ 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
