Staff Analytics Specialist

The Role:

Roles and Responsibilities:

• Work with Head of Analytics and analytics leadership team to deliver on long term & short term analytics & data strategy
• Setting annual & quarterly Targets & OKRs for Analytics and DSE teams
• Identifying & solving challenges structurally to help achieve OKRs
• Setup processes to drive efficiencies within & across BUs
• Identify & execute new initiatives to enable Data a key pillar for Razorpay
• Proactive Identification of data-driven growth opportunities & their prioritization
• 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 will work on solving open-ended, high-impact business problems using data mining, experimentation, statistical analysis, related techniques, and machine learning as needed
• 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, instrumenting for product features, 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, 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
• Own prioritization with stakeholders; negotiate and ensure high impact for work
• Create a roadmap/strategy for the respective business unit in collaboration with stakeholders
• Proven negotiation skills, influencing abilities
• Experience in leading mid-size project teams

Mandatory Qualifications:

• Bachelors/Master s degree in Engineering, Economics, Finance, Mathematics, Statistics, Business Administration or a related quantitative field
• 7+ years of high-quality hands-on experience in analytics and data science
• Hands-on experience in SQL and Python
• Experience working with engineering & product teams on data instrumentation to drive product analytics
• Experience with defining business and product metrics to be evaluated, creating and automating self-serve dashboards to present to relevant stakeholders leveraging tools such as Tableau, Qlikview, Looker etc.
• Ability to structure and analyze data leveraging techniques like EDA, Cohort analysis, Funnel analysis and transform them into understandable and actionable recommendations and then communicate them effectively across the organization.
• Hands-on experience in working with large scale structured, semi-structured and unstructured data and various approaches to preprocessing/cleanse 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