Data Analyst, Payments Fraud

Company Description

Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee whether a team member of Etsy, Reverb, Depop, or Elo7 you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human

What’s the role?

As a Data Analyst in Payments Fraud, you will be instrumental in establishing a connection between two very prominent domains at Etsy, Payments and Fraud. The analyst will be essential in crafting foundational data understanding by connecting fraud and payments context, and being a thought partner to the leaders at the forefront of future opportunities in the space. This analyst provides tools for partners to answer difficult questions with easy to use reporting and will be involved in producing recommendations for continued development in these complex spaces. We are looking for someone who understands how to weigh sophisticated opportunities, build robust data reporting tools, and is passionate about thinking and communicating these subjects. Would you enjoy supporting a rapidly growing vector at Etsy and have an impact at the highest level? If so, this could be the perfect match.

This is a full-time position working with the Senior Manager of Payments and Finance Analytics and the base salary range will be $104,000 - $136,000 USD per year. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family as part of your total rewards package at Etsy. For this role, we are considering candidates based in the United States who are either remote, flex, or office-based. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more about our Flex and Office-based work modes and workplace safety policies here.

What’s this team like at Etsy?

Payments And Finance Analytics (colloquially Money Analytics) Is An Analytics Team Committed To Applying The Techniques Of Data Science And Analytics To Drive Significant Insights, Including

• Understanding the nuances of Etsy’s payment processing data and the myriad interactions with our financial systems.
• Finding and advocating for outstanding opportunities for Etsy’s growth that move critical metrics
• We are a remote friendly team - all of our collaboration is inclusive of folks in an office and on the screen
• Building rich data sources of truth that interweave complex payments data and foundational data from across the Etsy ecosystem

What does the day-to-day look like?

• Work with internal teams and external partners to monitor and mitigate fraud risks
• Possess a deep level of curiosity and appetite for learning, which drives you to finding unique solutions.
• Develop unique perspective on fraud prevention by improving upon existing payments data and deriving new insights
• Craft outstanding dashboards and visualizations using Looker
• Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.
• Stay up-to-date with industry trends and new methodologies in payments fraud prevention
• Participate in dialogues with external vendors and partners including technical developers
• Analyze data related to payments to identify potential fraud indicators
• Build foundational scripts using SQL and database skills
• Produce regular reports and analysis to communicate fraud trends and risks to management
• Continually evaluate and refine your technical toolkit; teach what you learn to the team

Qualifications

Qualities that will help you thrive in this role are:

• A passion for reproducible work and tools to this end; you can mentor others how to make their own work better and more efficient.
• 2+ years experience supporting payments or engineering teams as an analyst or in a quantitative role in which you extracted meaning from rich data sets.
• A deep feeling of responsibility for the quality of your data and the integrity of your work.
• A trust in and alignment to Etsy’s vision, mission and values.
• A curious nature about subjects such as quantitative analysis, data visualization, and process efficiency.
• A proficiency in SQL and in one of or both Python or R
• Have an understanding of payments and fraud and how they interplay
• An ability to communicate your insights verbally, visually and in writing.

Additional Information

What's Next

If you're interested in joining the team at Etsy, please send a cover letter and resume telling us why you'd be right for the position. As you've hopefully seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So write to us and tell us what you're all about.

Our Promise

At Etsy, we believe that a diverse, equitable and inclusive workplace makes us a more relevant, more competitive, and more resilient company. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is an equal opportunity employer. We do not discriminate on the basis of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender, gender identity or expression, pregnancy or caregiver status, veteran status, or any other legally protected status. We will ensure that individuals with disabilities are provided reasonable accommodations to participate in the job application and interview process, to perform essential job functions, and to receive other benefits and privileges of employment. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skillsets.

For U.S. Roles Only

Many Etsy roles are open to remote candidates, and you'll be able to identify which ones within the location header of each job description. We're open to remote hires from all U.S. states except Hawaii and Alaska.

All your information will be kept confidential according to EEO guidelines.