Lead/Specialist/Manager - Analytics - FinTech Firm

Lead Analytics Specialist/ Analytics Manager

About Company :

In 2014, what started as India's first payment gateway built for Startups is now one of India's youngest FinTech unicorns with a $3 Bn valuation and the single best destination for all things payments and business banking. Razorpay offers an integrated platform for all things payments and business banking, helping millions of small and big businesses simplify and accelerate every aspect of their financial journey.

Today, Razorpay is a 1400 fun bunch of spirited, analytical, and ambitious folks building the first-of-its-kind technologies for the fintech ecosystem. We are a bunch of hungry mavericks here to empower 10Mn businesses in their digital transformation and enhance the payment experience of over 500 million end consumers in the next twelve months.

And we are just getting started, Would you want to join this club of thinkers, innovators, dreamers, and challengers?

About the team :

The analytics team comprises passionate problem solvers who share a common vision of enabling decision-making through data-driven strategies. Currently, the team is 50+ members and scaling fast.

What can you expect? :

- Opportunity to work in a fast-paced environment aimed at creating a very high impact

- Exposure to different business functions, helping each function to become successful with your work

- Opportunity to work with a diverse team of smart and hardworking professionals from various backgrounds

- Amazing work culture with endless opportunities for personal and professional growth

- Independence to put your thoughts/ideas into the executable business projects

- Ability to directly implement solutions and see them in action; critical partner for all decision-making in the organization

- Interact with people from various backgrounds - a mix of Statisticians, Consultants, Business, Product Managers, Designers, and Developers

- Flat organization structure with open and direct culture

- Merit-based fast-growth environment

- Market-leading compensation and benefits

What do you need to have? :

- Bachelor's/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

- 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.

- 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

What do we expect from you? :

- Creative thinking to solve real-world problems

- Fail fast, learn faster approach

- Comfortable in a high-energy, fast-paced environment

- Proficient verbal and written communication skills

- Strong Ownership with the ability to self-direct work in an unstructured environment

- Excellent partnership and collaboration skills with the ability to work cross-functionally

- Good organizational skills including prioritizing, scheduling, time management, and meeting deadlines

- Proven experience in managing cross-functional projects

- Proven negotiation skills, influencing abilities

- Experience in leading mid-size project teams

What will you work on? :

- 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 PRDs, 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