Financial Analytics Engineer

icon building Company : Sellhelp Ab
icon briefcase Job Type : Full Time

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Job Description - Financial Analytics Engineer

Data plays a central role with us and we use it to shape and improve our business. With over 30 million items sold, there’s plenty of data to put to better use.

We're searching for someone with a knack for data analytics and an interest to put it to use in the financial area of Sellpy.

Sellpy’s vision is to empower everyone to live circularly. We see a tremendous financial, social and environmental value in making sure unused items are put to use again. We are looking for colleagues who share this vision, and who are ready to see their work contribute to a sustainable future.

Financial Analytics Engineer at Sellpy

Sellpy is growing at a rapid pace and so is our appetite and need to process our financial data. With millions of pre-loved items being processed every year across multiple markets and currencies you will assist in making financial sense of it all. The Financial Analytics Engineer will analyse data from our production systems and supply the finance team with accurate and timely information. We see a huge value in gathering and utilising this data and developing our unit economics models to improve efficiency and make sustainable shopping even easier for our customers.

In short, you will

  • Write advanced SQL to connect all the dots across Sellpy.
  • Build and maintain data pipelines to ensure the stability and accuracy of the financial data.
  • Develop Sellpy’s unit economics models and make them usable and accessible internally.
  • Perform analysis based on the unit economics model and financial data.

We use

  • PostgreSQL
  • BigQuery
  • Airflow
  • Python

Requirements

  • A M.S. degree or a shorter education combined with relevant work experience.
  • Strong proficiency in SQL and Excel/Google Sheets.
  • Proven ability to perform high-quality data analysis.
  • 1-3 years of work experience from an equivalent role.
  • Written and spoken fluency in English, as this is our company language.

We’d be impressed if you have

  • Previous experience of financial data analysis.
  • Used Apache Airflow.
  • Worked in a fast-growing, product-focused startup environment

You get to

  • Be part of a tech-minded company that's driving the change towards a sustainable lifestyle. In return, you will get direction, energy, and work on meaningful challenges daily
  • Benefit from hybrid work from our office at Medborgarplatsen, and from home.
  • Work with highly skilled and motivated colleagues.
  • Gain new skills with unlimited access to a learning platform
  • Make use of prepaid vacation
  • Enjoy staff discounts at Sellpy and the H&M brands (Arket, COS, Other Stories, Weekday and more).
  • Thrive in a social and driven people culture.
  • Save up with a monthly pension plan
  • Engagement in Sellpy’s social traditions with game nights, interactive planning days, guest speakers and other activities.

Location

You are welcome to do all these things at our new office at Medborgarplatsen in Stockholm, and from home. We want you to enjoy a flexible work setup because well, it’s 2024 and digital meetings work just as fine!

Form of employment: Full-time

Start: As agreed upon

Öppen för alla Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.

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