Adventz - Senior/Lead Analytics Manager (8-12 yrs)

The Role:

- You will work with large, complex data sets to solve open-ended, high impact business problems using data mining, experimentation, statistical analysis and related techniques, machine learning as needed.

- 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 Product Requirement Documents, defining success criteria, instrumenting for product features, Impact assessment, and identifying and recommending improvements to further enhance the Product features

- You would expedite root cause analyses/insight generation against a given recurring use case through automation/self-serve platforms

- You will develop compelling stories with business insights, focusing on the strategic goals of the organization

- You will work with Business, Product, 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

- Designing and implementing both the tactical and strategic data-driven initiatives working with business and risk functions.

Desired Competencies And Skill Sets Include

- Bachelor's/Master's degree in Engineering, Economics, Finance, Mathematics, Statistics, Business Administration or a related quantitative field.

- 8+ years experience in Analytics & Data Science, 4+ years experience in a Tech Ecosystem, preferably in lending.

- Experienced in risk management of different lending products across the lifecycle of consumer credit.

- 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 Tableau, Qlikview, Looker, 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 Opportunities.

- Hands-on experience of A/B testing, Significance testing, supervised and unsupervised ML, Web Analytics and Statistical Learning.