Analytics Engineer, VGo Data
Vinted
This job is no longer accepting applications
See open jobs at Vinted.See open jobs similar to "Analytics Engineer, VGo Data" Accel.Brief info about Vinted
Vinted Marketplace is the largest online international C2C marketplace in Europe dedicated to second-hand fashion, with millions of registered members spanning 20+ markets in Europe and North America. With a mission to make second-hand the first choice worldwide, Vinted enables people to sell and buy second-hand clothes and lifestyle items from each other, helping give those items a second or even third life.
Vinted Go launched in 2022, with a focus on developing products and solutions for more seamless shipping and delivery across Europe. Vinted Go has connected more than 40 carriers and more than 200,000 PUDO points across Europe to support the delivery of millions of parcels per year.
The Vinted Group, composed of Vinted Marketplace and Vinted Go, is headquartered in Vilnius, with workplaces in Germany, Lithuania, France, the United Kingdom, the Netherlands and over 2,000 employees. It is backed by six leading venture capital firms: Accel, Burda Principal Investments, EQT Growth, Insight Partners, Lightspeed Venture Partners, and Sprints Capital.
Information about the position
As an Analytics Engineer in Vinted Go, you will become a part of a centralised team of 7 Analytics Engineers and will work in an embedded mode alongside one other Analytics Engineer in the OpsTech Domain’s Intelligence team.
The OpsTech domain at Vinted Go is developing tech solutions for our own logistics operations. Your work will impact the real world, improving how millions of parcels get delivered. However, it's not just about moving boxes; it's about helping Vinted users lead more sustainable lives. You’ll be part of the OpsTech Intelligence team, a group of data professionals who turn raw numbers into smarter ways of doing things.
Within Data Science & Analytics (DSA) we have three distinct roles. We believe that each role can make a similarly sized business impact in different ways and therefore our salary ranges are the same for all three roles. To understand your role within DSA context better, here are brief descriptions of each role we have in the department:
- Analytics Engineers are responsible for data curation – translating data needs from stakeholders into architecting, building and maintaining efficient & reliable data models and pipelines.
- Decision Scientists are responsible for actionable insights, identifying and sizing opportunities, and automated tools that increase the quality of product and business decisions by applying statistical methods and data-driven decision making.
- Data Scientists are responsible for identification of algorithmic opportunities, ensuring those opportunities are addressed in an optimal fashion and design, development and maintenance of production-grade statistical and machine learning algorithms.
In this position, you’ll
- Build and maintain efficient & reliable data models for both external and internal data, in partnership with data and platform engineering teams
- Continuously collaborate with data and business stakeholders within the company to collect data needs and translate these into functioning pipelines and data models
- Ensure our colleagues can optimally use the data models by monitoring performance and driving optimisation, creating documentation, and adopting best practices
- Perform root cause analysis in case of issues in data pipelines, generation or processing stages
- Participate in Vinted Go Analytics Engineering rituals
- Contribute to other company-wide analytics engineering projects and initiatives
About you
- Experience in a data role, preferably as as an Analytics Engineer, ETL Developer, Data Analyst/Scientist, Data Engineer, or similar.
- Experience with SQL, and familiarity with a programming language (e.g., Python, Java, Scala)
- Familiarity with data modelling frameworks are a plus
- Strong communication and collaboration skills, with the ability to build and maintain cross-functional relationships with various teams across the business and translate business needs into technical solutions
- Attention to detail
- Excellent written and spoken English
- Advantage: Working experience in a cloud environment, such as Google Cloud Platform
Work perks
- The opportunity to benefit from our share options programme
- 25 working days of holiday
- Newest MacBook models
- Free access to an office gym
- Mental and emotional health support through the Mindletic app
- Home office support: we provide IT workstation equipment and a personal budget of up to €540 for home workplace furniture
- Private health insurance
- On-site canteen serving delicious homemade food at friendly prices
- Frequent team-building events
- A personal monthly budget for shopping on Vinted
- The opportunity to spend up to 90 days per year - 21 of which can be spent working outside of the EU - on workation
- A dog-friendly office
Working at Vinted
Individual Learning Budget
We invest in your professional growth! As part of our commitment to continuous learning, we offer an annual learning budget to support your personal and career development through courses, certifications, workshops and more.
Hybrid Work
We’ve adopted a hybrid workplace model where 2 days in office are recommended but not enforced. It’s up to you and your team to decide on the exact days you’ll spend working together in person.
Equal Opportunity
The Vinted Group is committed to building an inclusive workplace where people from all walks of life feel a sense of belonging. We welcome applications from people of all backgrounds, identities and life experiences. At Vinted, all applicants are treated fairly without regard to their race, age, religion or belief, sex, national origin, citizenship, gender identity, sexual orientation, disability, or any other protected characteristic.
The salary range for this position is €2,417 - €4,292 gross per month.
This job is no longer accepting applications
See open jobs at Vinted.See open jobs similar to "Analytics Engineer, VGo Data" Accel.