Senior Analyst, Product Analytics in Madrid

Returnly

Workplace
Onsite
Hours
Full-Time
Internship
No
Skills
Share offer

Job Description

At Returnly, we help brands that care about shopper loyalty offer better product returns. We are a financial technology services company that builds award-winning products that drive repurchase behavior and customer loyalty. We were backed at the beginning by smart money VCs in Fintech including some prominent members of the Paypal Mafia. Our headquarters are in San Francisco and we have offices in Chicago and Madrid. We are on a mission to de-risk online commerce and are building a team of amazingly talented people to help us do it.

Returnly has recently been acquired by Affirm, whose mission is to deliver honest financial products that improve lives. By building a new kind of payment network — one based on trust, transparency, and putting people first — Affirm empowers millions of consumers to spend and save responsibly and gives thousands of businesses the tools to fuel growth.

As a Sr. Product Analyst, you will drive key product decisions through deep analytical insights and rigorous measurement. You will become an expert on our product data, empowering data-informed decision making at every stage of the product development lifecycle using tools such as SQL, Python, Looker, statistics, machine learning etc. This is a cross-functional role in which you’ll work with Product, Engineering, Data as well as members of the leadership to help prioritize strategic projects that will have the biggest impact for Returnly merchants and shoppers.

What you'll do:

    • Solve new and challenging problems around eCommerce returns, payments, credit issuance and settlement, fraud detection, economics of SaaS
    • Apply your expertise in multivariate analysis, hypothesis testing and the presentation of data to see beyond the numbers and understand how our users interact with both our shopper and merchant products
    • Work cross-functionally with Product Design, Product Management, and Engineering teams to design hypothesis-driven experiments; make clear, coherent and holistic recommendations based on test results
    • Identify key metrics, conduct rigorous data analysis, create executive facing dashboards and build business cases that drive decision making and business prioritization
    • Drive data logging requirements and tracking instrumentation to measure KPIs by engaging with analysts, business stakeholders, data architects, technology leads, and product development teams
    • Support multiple projects at the same time in a fast-paced, results-oriented environment

What we look for:

    • 4+ years of relevant product analytics experience, analyzing large, multi-dimensional data sets and synthesizing insights into actionable solutions
    • Fluent in SQL, Excel/Sheets, and visualization tools such as Looker; experience with statistical programming language such as Python or R a preferred
    • Data-driven mindset, strong analytical and problem-solving skills; attention to detail
    • Experience designing and setting up experiments to analyze the impact of new products and features (hypothesis testing, multivariate analysis)
    • Ability to think creatively and critically and thrive in a fast-paced, dynamic, and often ambiguous work environment
    • Strong interpersonal and communication skills, with the ability to communicate and influence effectively across various departments
    • Command of the English language, both written and spoken
    • Degree in a quantitative discipline such as Engineering, Computer Science, Economics, Statistics or Mathematic
 

About Returnly

  • E Commerce

  • San Francisco, CA, USA

  • 50-200

  • 2014

Returnly is the leading provider of digital return experiences for direct-to-consumer brands.

We are the only return solution that lets customers get the right item before returning the wrong one — with zero risk to the merchant. The result is a world-class shopping experience with an average consumer satisfaction score of 91.

We have also built a turn-key solution around our financial technology that includes returns management tools as well as hosted and fully brandable customer touchpoints like package tracking, online returns and exchanges and returnless refunds

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