Job Description

Time Type:

Full time

At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to democratize financial services to ensure that everyone, regardless of background or economic standing, has access to affordable, convenient, and secure products and services to take control of their financial lives.

Job Description Summary:

What you need to know about the role-

You will be responsible for uncovering insights and providing data driven recommendations to the consumer GTM team. The focus would be on developing EDA frameworks that are reusable & scalable to enable and drive consumer OKRs & deep dive capabilities

Meet our team

This is a part of consumer analytics team supporting portfolio insights for PayPal consumers globally, to help with the insights around understanding portfolio health for different consumer segments

Job Description:

Your way to impact

Looking for analytically strong candidate, with hands on experience in querying and handling large amounts of data; analytical tools & techniques, developing complex SQL scripts, statistics, and EDA techniques. Looking for someone with curiosity to learn and grow, exhibiting strong resolve to challenge the status quo, strive for excellence in everything they do, with good professional and academic track record to be part of a team that deals with most innovative solutions at scale.

Your day to day

In your day to day role, a successful candidate will;

• Identify key metrics, conduct rigorous explorative data analysis, create executive facing dashboards and build business cases that drive data backed decision making and business prioritization.
• Analyze portfolio health and provide recommendation on the best course solution to improve customer engagement.
• Synthesizing large volumes of data with attention to granular details and summarize findings and recommendations
• Support multiple projects at the same time in a fast-paced, results-oriented environment.

What do you need to bring-

• 2+ years of experience analyzing large, multi-dimensional data sets and synthesizing insights into actionable solutions.
• Bachelors in a quantitative field, advanced degrees preferred
• Experience in SQL and at least one scripting language such as Python or R
• Understanding of statistics (e.g. hypothesis testing, statistical inference, regression)
• Good communication skills, both written and verbal