Cashfree Payments
Location
Bangalore | India
Job description
Cashfree is a leading payments and API banking solutions company. We provide full-stack payments solutions enabling businesses in India to collect payments and make payouts via all available methods with a simple integration. Cashfree’s offerings include an advanced and easy way to integrate payment gateway, a split payment solution for marketplaces, bank account verification API and Auto Collect -- a virtual account solution to match inbound payments to customers. Founded by IIIT Hyderabad alumnus Akash Sinha and IIT Kharagpur graduate Reeju Datta, is among the leading payment service providers in India processing transactions worth USD 40 Billion annually. We have leveraged technology to lead payment disbursals in India with more than 50% market share among payment processors. Cashfree enables more than 1,00,000 businesses with payment collections, vendor payouts, wage payouts, bulk refunds, expense reimbursements, loyalty and rewards. Apart from India, Cashfree’s products are used in eight other countries including USA, Canada and UAE. Cashfree is backed by Silicon Valley investor Y Combinator, Apis Partners, State Bank of India (SBI) and was incubated by PayPal. Cashfree is currently used by over 100,000 businesses for vendor payouts, wage payouts, build refunds, expense reimbursements, loyalty, and rewards. Some of its notable customers include Dunzo, Xiaomi, Tencent, Delhivery, Zomato, Cred, Club Factory, and ExxonMobil.
Job Description What makes you a great fit: 2+ yrs of work experience as a Data Analyst. Hands on experience with Advanced SQL. History of manipulating, processing, and extracting value from large, disconnected datasets. Able to drive funnel analytics on B2B and B2C products. Hand on experience in Python data crunching. Handon experience on AWS quicksight. Hands-on experience with data Viz tools (Tableau, Looker). Prior experience in B2B SaaS/Fintech is a Plus. What you will do: Build the infrastructure required for optimal extraction, transformation, and loading of data from the data warehouse. Assemble large, complex data sets that meet business requirements. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, and if required, re-designing infrastructure for greater scalability. Applying best practices like version control and continuous.Job tags
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