VP Analytics and Data Science

Job Description:

● You would have/develop a strong understanding of the business & product and conduct
analysis to derive insights, develop hypotheses and validate with sound rigorous
methodologies or formulate the problems for modeling with ML
● You would apply excellent problem-solving skills and independently scope, deconstruct
and formulate solutions from first principles that bring outside-in and state of the art view
● You would be closely involved with the product life cycle working on ideation, reviewing
PRDs, defining success criteria, instrumenting for product features, Impact assessment,
and identifying and recommending improvements to further enhance the Product features
● You will develop compelling stories with business insights, focusing on the strategic goals
of the organization
● You will work with Business, Product, Engineering and Data engineering teams for
continuous improvement of data accuracy through feedback and scoping on
instrumentation quality and completeness
● Set high standards in project management; own scope and timelines for the team
● Take responsibility for skill-building within the organization (training, process definition,
research of new tools and techniques, etc.)
● Set performance benchmarks for the team; mentoring analysts within the team to deliver
effectively, incubating new ideas.
● Own prioritization with stakeholders; negotiate and ensure high impact for work
● Create roadmap/strategy for the respective business unit in collaboration with
stakeholders.
Mandatory Qualifications:
● Bachelor's/Master’s degree in Engineering, Economics, Finance, Mathematics, Statistics,
Business Administration or a related quantitative field
● 10+ years experience in Analytics & Data Science, 5+ years experience in a Tech
Ecosystem, preferably in Fintech
● Hands-on experience in SQL and Python
● Define the business and product metrics to be evaluated, work with engg on data
instrumentation, create and automate self-serve dashboards to present to relevant
stakeholders leveraging tools such as PowerBI, etc.
● Hands-on experience in working with large scale structured, semi-structured and
unstructured data and various approaches to preprocessing/cleansing data,
dimensionality reduction
● Work experience in Consumer-tech organizations would be a plus
● Developed a clear understanding of the qualitative and quantitative aspects of the
product/strategic initiative and leverage it to identify and act upon existing Gaps and