Data Scientist, Giving Product Analytics

Key Skills

Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch, R Programming

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 375 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.
The Giving products analytics team is looking for a tenured Analytics professional with at least 4 years of Analytics/Data Science experience. The candidate for this role would be expected to have the following skills: o Strong SQL skills with a lot of attention to granular data and ability to create visuals that can convey insights o Ability to perform deep dive analyses on key business trends from different perspectives and package the insights into easily consumable presentations and documents o Ability to interact with multiple teams to derive best practices to set up reporting and analysis frameworks for a new product o Ability to front end and interact with stakeholders o Ability to cross pollinate ideas and leverage best practices o Post-graduation or ML experience would be a plus

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 254 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.

Who are we

Product Analytics team owns the data infrastructure for all products powered by PayPal and perform analyses needed to empower data driven decision making by PayPal’s product teams to enable better product offerings for merchants and greater product experience for consumers during their online shopping or peer-to-peer transactions. We do so by building self-serviced dashboards using tools like Tableau, SQL to crunch data from hundreds of millions of transactions. Eventually we deliver key business insights and effectively communicate our analyses to business teams globally.

We work closely with business teams, data scientists, engineers, instrumentation techies and finance to develop an enviable suite of metrics, exploratory analyses, tools and dashboards; all supported by robust data pipelines that scale with our continually expanding business.

Who are you?

???? Analytics professional with a proven track record of extracting and manipulating data using SQL and leveraging advance Tableau and Microsoft Excel features for data analysis in a fast-paced global technology company or a startup

???? Hands on professional who can perform deep dive analyses on key business trends from different perspectives and package the insights into easily consumable presentations and documents

???? A strong articulate communicator with business acumen who can work efficiently and effectively with key stakeholders across multiple teams and geographies to define and produce business metrics and insights within a given time frame

???? A persistent person who has the willingness to spend time in an area and become a SME in that domain

???? Someone who pays attention to detail and is intellectually curious to make the extra effort to understand the underlying causes of business trends

???? Lifelong learner who has the inclination to continuously learn new skills, is comfortable with ambiguity and can produce high quality, error free business analyses with minimal oversight

Role

???? Own production, development and maintenance of weekly and monthly business review reports, Tableau dashboards, and ongoing analyses to meet SLAs

???? Partner with Product, Engineering, Instrumentation and Analytics teams to understand product, support experiment setups and analyze performance

???? Work and establish good working relationships with other product / product analytics teams to leverage existing infra for the team and continuously engage with these teams for idea cross pollination

???? Perform deep dive analyses on key business trends from different perspectives and package the insights into easily consumable presentations and documents

???? Continuously think on how to improve the analytics infrastructure for the team, build prototypes and automate processes

Basic Qualifications

???? At least 4 years of analytics experience in a fast-growing global technology company or a highly regarded startup analyzing large, multi-dimensional datasets and synthesizing data insights into actionable recommendations

???? Post-graduation, ML experience or relevant certifications would be a bonus

???? Expert level SQL skills to manipulate large datasets through standard access tools like Teradata

???? At least Intermediate level Tableau/Qlik/Power BI skills to create impactful dashboards

???? Proficiency in Microsoft PowerPoint

??? Have knowledge of R or Python (Added advantage)