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Business Analyst, INPAY Data Products Team

Business Analyst, INPAY Data Products Team

Name: Jobpe
Address: T-Hub, Plot No 1/C, Sy No 83/1, Raidurgam panmaktha, Knowledge City Rd, Hyderabad, Telangana, 500081, IN
Telephone: +91-83339-09630
Price range: Free

Amazon

1 - 6 years

12 - 14 Lacs

Bengaluru

Posted:1 day ago| Platform:

Apply

Skills Required

Process monitoring Data analysis Business analysis Analytical Customer service Subject Matter Expert SQL Python Capacity planning Business operations

Work Mode

Work from Office

Job Type

Full Time

Job Description

: As one of the largest e-commerce companies in the world, Amazon Payments processes billions of secure on-line transactions via a number of payment mechanisms, including credit cards, convenience store payment, netbanking, digital cash, cash on delivery and electronic gift certificates. Transactions are processed on behalf of thousands of merchants, including Amazon.in. Amazon is known across the globe as the most trusted company on the Internet. We are committed to delivering an exceptional customer experience. Payments owns and maintains the software platform which processes 20+ payment methods worldwide. The Business Operations team owns the Process and Policy definition, policy implementation and roll out as well as process monitoring and automation. This team defines policies which are adhered to be internal clients like such as Product/Business, Customer Service, Finance, Accounting, Compliance, and Fraud as well as third party partners and banks relied upon to process payments.
About the role: Working in a dynamic environment, you will be responsible for automating dashboards, monitoring key success metrics, managing WBR reports, identifying problem areas and business challenges and collaboratively shaping solutions with Amazon Pay teams to help optimize on the platform. The successful candidate has a passion for extracting actionable insights from data. The candidate needs to innovate, and quickly become a subject matter expert to assess business performance across different Amazon Pay areas. The candidate should have significant experience working with automation, analyzing data, identifying trends, extracting conclusions, and presenting findings in a simple and clear manner using data across various data marts, and align focus on Amazon s strategic needs. The candidate should enjoy problem solving and is proficient in VBA and other automation tools. Key Responsibilities: Understanding drivers, impacts, and key influences in the BizOps Domain. Partnering with the business team to create key performance indicators and new methodologies for measurement. Translating data into actionable insights for the stakeholders. Automate reporting for weekly business metrics, identify areas of opportunity to automate and scale ad-hoc analyses You will perform complex data analysis (root cause deep dives, correlations, regressions, simulations, and optimization) to identify different opportunities to reduce process gaps. You will build infrastructure and implement maintenance strategy for internal datasets to support swift analysis to answer critical business questions A day in the life Being Part of the Regulatory and Compliance POD of the Data Products Team is a highly responsible and a job of pride. The analysis & submissions enables upkeep of Prepaid Instrument licence. A typical day includes working on reports to Financial Intelligence Unit, Suspicious Activity Monitoring and Statistical Regulatory report, investigating deviation from set rules(either by customer/product/tech), understanding the domain of regulatory space and constant changes being brought by the Reserve Bank of India. Automating of report Submissions and Self serve is an ongoing and innovative challenge as many product features and enhancements are continuously added, against which the compliance register has to be validated. 1+ years of data analytics or automation experience 1+ years of capacity planning, operations planning, business analysis or similar experience Bachelors degree Knowledge of data pipelining and extraction using SQL Knowledge of SQL and Excel at a moderate or advanced level Knowledge of SQL/Python/R, scripting, MS Excel, table joins, and aggregate analytical functions

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Business Analyst, INPAY Data Products Team