Senior Analyst

Job Description

Fueled by a fundamental belief that having access to financial services creates opportunity, PayPal (NASDAQ: PYPL) is committed to democratizing financial services and empowering people and businesses to join and thrive in the global economy. Our open digital payments platform gives PayPal s 392 million active account holders the confidence to connect and transact in new and powerful ways, whether they are online, on a mobile device, in an app, or in person. Through a combination of technological innovation and strategic partnerships, PayPal creates better ways to manage and move money, and offers choice and flexibility when sending payments, paying or getting paid. Available in more than 200 markets around the world, the PayPal platform, including Braintree, Venmo and Xoom enables consumers and merchants to receive money in more than 100 currencies, withdraw funds in 56 currencies and hold balances in their PayPal accounts in 25 currencies.o Data-driven mindset with a degree in a quantitative discipline such as Computer Science, Statistics, Engineering, Mathematics or Economics o 7+ years of relevant work experience in analyzing large, multi-dimensional data sets and synthesizing data insights into actionable recommendations o Improve product experiences for 350+ million customers using data science techniques o Leverage the Objective & Key Results (OKR) framework to identify product metrics and monitor product performance through dashboards and ad-hoc analysis o Become a domain expert in your product areas and conduct rigorous data analysis to help improve customer experiences and identify profitable growth opportunities o Work cross-functionally with product, engineering, design, and marketing teams to build world-class products and design hypothesis-driven experiments; make clear, coherent and holistic recommendations based on test results o Experience with Tableau or similar visualization tools o Familiarity with unix-like systems, and knowledge of basic tasks & commands. You are a fun-loving, adventurous team player o You are a highly motivated, results-oriented self-starter, enjoy working in a fast-paced environment, and can deliver successful results with minimal guidance o You are hyper-analytical and intellectually honest, truly believing in data-driven decisions and communicating your ideas through storytelling o Intermediate Python - Experience automating analytics workflows and Data cleaning with python libraries like pandas & numpy. Exceptional written and verbal communication skills to influence cross-functional teams o Expert at designing and analyzing experiments (Split testing, Multivariant testing, statistical significance). You are curious and inquisitive: love digging into data and uncovering insights o Experience with at least one cloud-based databases & working with unstructured/NoSQL database. Analyst, Auth Rate Analytics About You: o Expert Excel & Powerpoint user. o Perform extensive exploratory analysis of new data, test hypothesis, and gather useful insights.Sr. Analyst, Auth Rate Analytics About You:o You are curious and inquisitive: love digging into data and uncovering insightso You are hyper-analytical and intellectually honest, truly believing in data-driven decisions and communicating your ideas through storytellingo You are familiar with data science and machine learning techniques to improve product experienceso You have a keen attention to detail and enjoying working with people from across the world in different timezones.o You are a highly motivated, results-oriented self-starter, enjoy working in a fast-paced environment, and can deliver successful results with minimal guidanceo You are a fun-loving, adventurous team playerAs a member of the auth rate analytics team, you will:o Become a domain expert in your product areas and conduct rigorous data analysis to help improve customer experiences and identify profitable growth opportunitieso Work cross-functionally with product, engineering, design, and marketing teams to build world-class products and design hypothesis-driven experiments; make clear, coherent and holistic recommendations based on test resultso Improve product experiences for 350+ million customers using data science techniqueso Leverage the Objective & Key Results (OKR) framework to identify product metrics and monitor product performance through dashboards and ad hoc analysiso Present findings and recommendations to business and non-technical stakeholders.Requirements:o Data-driven mindset with a degree in a quantitative discipline such as Computer Science, Statistics, Engineering, Mathematics or Economicso 7+ years of relevant work experience in analyzing large, multi-dimensional data sets and synthesizing data insights into actionable recommendationso Working with large datasets, and expertise in converting business requirement into efficient queries. Experience in ordered analytical sql functions.o Perform extensive exploratory analysis of new data, test hypothesis, and gather useful insights.o Experience with at least one cloud-based databases & working with unstructured/NoSQL database. Previous experience working with GCP, Teradata or AWS Redshift is a big plus.o Experience with Tableau or similar visualization toolso Familiarity with unix-like systems, and knowledge of basic tasks & commands. Ability to write basic shell-scripts.o Exceptional written and verbal communication skills to influence cross-functional teamso Expert at designing and analyzing experiments (Split testing, Multivariant testing, statistical significance). You will own the experiment end to end from estimating the number of days it will take to run the experiment to providing the readouts to your stakeholders.o Advanced SQL - Able to create complex, multi-step queries and ETLs. Writes performant code, can troubleshoot and tune non-performant queries.o Intermediate Python - Experience automating analytics workflows and Data cleaning with python libraries like pandas & numpy.o Expert Excel & Powerpoint user. Comfortable with using Pivot tables & VBA macros in excel and create compelling slides in powerpoint to showcase the analysis.Were a purpose-driven company whose beliefs are the foundation for how we conduct business every day. We hold ourselves to our One Team Behaviors which demand that we hold the highest ethical standards, to empower an open and diverse workplace, and strive to treat everyone who is touched by our business with dignity and respect. Our employees challenge the status quo, ask questions, and find solutions. We want to break down barriers to financial empowerment. Join us as we change the way the world defines financial freedom.PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.R0072103 ,

Keyskills :
data analysisdata sciencedata cleaningcustomer relationspivot tablesqa engineer