Analytics Specialist

Posted 15 Hours Ago
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Bangalore, Bengaluru, Karnataka
Junior
eCommerce • Fintech • Payments • Software • Financial Services
The Role
The Analytics Specialist role involves working with large datasets to address high-impact business problems, utilizing techniques like data mining, statistical analysis, and machine learning. The position includes product lifecycle involvement, root cause analysis, and collaboration with various teams to enhance data quality and metrics evaluation.
Summary Generated by Built In

Razorpay was founded by Shashank Kumar and Harshil Mathur in 2014. Razorpay is building a new-age digital banking hub (Neobank) for businesses in India with the mission is to enable frictionless banking and payments experiences for businesses of all shapes and sizes. What started as a B2B payments company is processing billions of dollars of payments for lakhs of businesses across India. 

We are a full-stack financial services organisation, committed to helping Indian businesses with comprehensive and innovative payment and business banking solutions built over robust technology to address the entire length and breadth of the payment and banking journey for any business. Over the past year, we've disbursed loans worth millions of dollars in loans to thousands of businesses. In parallel, Razorpay is reimagining how businesses manage money by simplifying business banking (via Razorpay X) and enabling capital availability for businesses (via Razorpay Capital). 

The Role:

Analytics Specialist will work with the central analytics team at Razorpay. This will give you an opportunity to work in a fast-paced environment aimed at creating a very high impact and to work with a diverse team of smart and hardworking professionals from various backgrounds. Some of the responsibilities include working with large, complex data sets, developing strong business and product understanding and closely being involved in the product life cycle.

Roles and Responsibilities:

  • 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 hypothesis 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 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

Mandatory Qualifications:

  • Bachelor's/Master’s degree in Engineering, Economics, Finance, Mathematics, Statistics, Business Administration or a related quantitative field
  • 1-3 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 approach to preprocess/cleanse data, dimensionality reduction
  • Work experience in Consumer-tech organisations 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
  • Working Knowledge of A/B testing, Significance testing, supervised and unsupervised ML, Web Analytics and Statistical Learning

Razorpay believes in and follows an equal employment opportunity policy that doesn't discriminate on gender, religion, sexual orientation, colour, nationality, age, etc. We welcome interests and applications from all groups and communities across the globe.

 

Follow us on LinkedIn & Twitter

Top Skills

Python
SQL
The Company
HQ: Bangalore, Karnataka
3,200 Employees
On-site Workplace
Year Founded: 2013

What We Do

Power your finance, grow your business.
Razorpay is India’s first full-stack financial solutions company. We are on a mission to enhance the payment experience of over 300 million end consumers. And in doing so, we aim to enable Indian businesses - big and small - accept payments digitally with minimal effort and maximum ease.

Razorpay has grown from being a payment gateway provider to a solutions-driven organization boasting of an extensive products suite to accept and disburse payments as well as raise capital and park money. In a nutshell, we fit into every nook and corner where your business touches money.

#OutgrowOrdinary
We identify ourselves as disruptors in the digital payments space and our vision is to power the financial ecosystem for other disruptors. Like attracts like and Razorpay actively looks to partner with established companies and startups that have either broken the glass ceiling in their industry or are set to.

The Razorpay Product Suite today comprises verticals, along with Payment Gateway, like Payment Links, Payment Pages, Subscriptions, Smart Collect, Route, Razorpay Capital, RazorpayX, Payroll and Thirdwatch.

Razorpay was started in 2014 by two IIT Roorkee alumni, Harshil Mathur and Shashank Kumar. Just a short few years later, Razorpay has evolved into a 800-odd strong organization with some of the best talents in the country helping some of the best companies manage their money movement seamlessly.

Certified cool
We are a bunch of spirited, ambitious and fun folks. And no, we’re not saying this ourselves--leading institutions have recognized Razorpay for the high trust and high-performance culture that we maintain.

Our strength lies in the people we are and we go to great lengths to nurture a family of coders, designers, sellers, marketers, analysts, writers, runners, photographers, gamers, tinkerers, and above all, people who are dreamers and doers at the same time. Be a part of our exciting journey.

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