Analytics Engineer, Buyer Intelligence
3 maanden geleden
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 22 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 , 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 , 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, 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 Buyer Intelligence, you will become part of the Buyer domain with a mission to improve our search engines, product categories, discovery channels, and listing journeys. You will leverage the content of our connected international markets to create the most efficient recommendation systems for buyers. You will join a small group of Analytics Engineers in our Intelligence Team and the company-wide Analytics Engineers guild. Your focus will be on ensuring that we have the necessary high-quality data readily available in a future-proof manner.
Buyer Intelligence is the data analytics and science hub for the domain. The team is composed of decision scientists and analytics engineers who support different teams in the Buyer domain with data insights, research, and data products. These efforts enable faster experimentation and product development. We are looking for someone who enjoys working in a fast-changing environment, is willing to switch contexts by contributing to the domains goals and projects based on priorities, and is passionate about the product we are building together.
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, youll:
Build and maintain efficient & reliable data models and pipelines for both external and internal data, in partnership with data engineering 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 driving optimisation, documentation, training, and monitoring of best practices Perform root cause analysis in case of issues in data production processes Contribute to other company-wide analytics engineering projects and initiatives
About you
Experience as an Analytics Engineer, ETL Developer, Data Analyst/Scientist, Data Engineer, or in a similar data role Proficient in SQL, with the ability to write code that is easy to understand, simple to troubleshoot, and highly performant Working experience in another programming language (e.g., Python, Java, Scala) Familiarity with data modelling, data access, and data storage techniques 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 days of paid annual leave Newest MacBook models Mental and emotional health support through the Mindletic app Frequent team-building events Home office support: we provide IT workstation equipment and a personal budget of up to for home workplace furniture A daily lunch allowance ClassPass (Gym Membership subsidy) Pension plan with a total contribution of 12%, 8% by the Company and 4% by employee A personal monthly budget for shopping on Vinted An NS mobility card 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
Vinted will set aside a yearly sum equal to 10-13.2% of your annual salary to be invested in your continuous professional development. Youll be able to take the initiative to use it for covering relevant learning activities that benefit your role.
Hybrid Work -
Weve adopted a hybrid workplace model where 2 days in the office are recommended but not enforced. Its up to you and your team to decide on the exact days youll 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 61, - 82, gross per year.
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