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An innovative marketing measurement platform is seeking an Analytics Engineer to enhance data-driven success. In this role, you will design and maintain scalable data pipelines, ensuring data integrity and collaborating with cross-functional teams. Your expertise in SQL and Python will be crucial in supporting strategic decision-making and driving continuous improvement in data processes. Join a forward-thinking company where your contributions will significantly impact renowned eCommerce brands and help shape the future of data excellence. With a commitment to employee growth and a vibrant team culture, this opportunity promises both professional development and a collaborative work environment.
Fospha is the marketing measurement platform for eCommerce brands. We have found product/market fit in the last two years and quickly become a market leader for measurement with numerous awards and rocket-ship growth to match. We are the only business of our type to be a certified partner of Meta, TikTok and Snap, and have worked with our customers - some of the best-known eCommerce brands in the world to drive massive growth and value. We are now expanding globally and are looking for excellent candidates to join the next phase of our journey.
The Role
As a Analytics Engineer, you will be a key contributor to our data-driven success by designing, developing, and maintaining scalable data pipelines and architectures. You will play a crucial role in ensuring data integrity, optimizing data storage, and collaborating with cross-functional teams to support business initiatives. Additionally, you will drive continuous improvement in data processes, promote a culture of data excellence, and provide insights to support strategic decision-making.
Key Responsibilities:
Professional Requirements:
Benefits & Perks [London]
Working location
The Fospha UK team is based at the Scale Space tech campus in West London - where you can partake in a full social calendar of community events & classes. While we take pride in offering flexibility—accommodating working hours and personal circumstances—our team members spend 4 days a week in the office to maximize opportunities for learning and collaboration.