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Job Update: B.Com, M.Com, BBA, B.Sc, B.Tech, MBA Vacancy at Razorpay
Overview:
Razorpay is hiring an experienced Senior Analytics Specialist at their Bangalore location. Senior 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, develop strong business and product understanding and closely being involved in the product life cycle.
The complete details of this job are as follows:
What will you be doing:
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 modelling 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 strategic goals of the organisation
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
Qualifications for this Job:
Bachelor’s/Master’s degree in Engineering, Economics, Finance, Mathematics, Statistics, Business Administration or a related quantitative field
4-6 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 engineering on data instrumentation, create and automate self-serve dashboards to present to relevant stakeholders leveraging tools such as Tableau, Qlikview, Looker etc.
What Skills are Needed:
Ability to structure and analyse data leveraging techniques like EDA, Cohort analysis, Funnel analysis and transform them into understandable and actionable recommendations and then communicate them effectively across the organisation.
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.
Hands on experience of A/B testing, Significance testing, supervised and unsupervised ML, Web Analytics and Statistical Learning.
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