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Join the forefront of fashion e-commerce as an Analytics Engineer and shape the future of personalized online shopping experiences
Overview
Salary
No salary declared 😔
Location
Amsterdam, North Holland, Netherlands,
Nomad Friendly?
In-person- Amsterdam Netherlands
Expires
Expires at anytime
Organisation summary
Be part of an innovative e-commerce platform revolutionizing the fashion industry. Our dynamic team is dedicated to providing state-of-the-art recommender systems that enhance customer engagement and drive growth. We offer a fast-paced, nimble environment that's perfect for passionate individuals eager to make a significant impact in the world of online retail.
Role Summary
- Develop and refine recommender systems to bolster product suggestions on our digital platforms.
- Construct and manage robust data models and pipelines to underpin these systems.
- Collaborate with various internal teams to optimize recommendation algorithms.
- Perform A/B testing and apply data insights to boost the customer experience.
- Engage in knowledge sharing and foster a culture of data literacy within the company.
Role Requirements
- Masters in a quantitative field like econometrics, data science, or machine learning.
- At least 3 years of data-related experience, specifically within the recommender space.
- Proficiency in A/B testing, SQL, Python, and preferably Databricks and AWS.
- Strong communication and collaboration skills.
- Background in e-commerce and/or Martech is highly desirable.
Application Process Details
- Offer includes competitive salary, SAR package, and 25 paid holidays plus birthday off.
- Benefits include a modern office space, bi-weekly lunches, mental and physical health support, technology tools, and an employee discount.
Your impact
Do you have a passion for e-commerce and data? Do you prefer to work in a young and ambitious team? Do you want to help build and scale an international platform by developing the best recommender systems to serve our customers? Then this is the challenge for you!
As an Analytics Engineer (Recommendations), you will play a pivotal role in enhancing the customer experience and driving growth for our fashion brands. You'll collaborate with cross-functional teams, including the Merchandising and User Engagement teams to develop and fine-tune our recommender systems, leveraging your expertise in data and machine learning.
Your responsibilities
- Implementing and improving new recommender systems to enhance product recommendations on our website using third-party algorithms
- Building, maintaining and improving data models and pipelines to support the system
- Ensuring the accuracy and availability of data
- Collaborating with the Merchandising and User Engagement teams to optimise and improve our recommendation algorithms
- Working closely with data engineering team and following platform best practices
- Conducting A/B tests and Utilising your data-driven insights to identify opportunities for enhancing the customer journey and personalising the shopping experience
- Sharing your expertise to educate and collaborate with teams across the organisation on data and analytics best practices
What you'll bring to the team...
- A Master's degree in a quantitative study such as econometrics, data science, or machine learning
- 3+ years experience in data; either as an engineer, data scientist, analytics engineer or a similar role within the recommender space
- Hands-on experience in conducting A/B tests and analysing and implementing the results
- Excellent communications skills with the ability to enable effective collaboration with internal teams and external partners
- Strong self-management and time management skills to meet deadlines and manage multiple stakeholders
- An excitement for fast paced and nimble environments
- Ability to present insights in a compelling and engaging manner
- Experience with dbt, SQL & Python is a must
- Databricks, AWS experience is a plus
- Ecommerce and/or Martech experience is ideal
What we offer you for being O-mazing:
- A competitive, market-rate salary (incl. holiday allowance) and a generous SAR package
- 25 days paid holiday per year - plus a day off on your birthday and 8 weeks Workation option!
- An open, spacious, plant-filled office on the waterside in the Houthavens
- Delicious bi-weekly office lunches - prepared by our lovely Hub & Culture Manager, Denise
- Mental and physical health support via a OneFit gym subscription discount and free, unlimited access to OpenUp
- Mac laptop and more handy tech - including setting up your home office via Workwize
- And, of course, an incredible 35% Otrium employee discount!
