⭐ Featured

Emperia
Analytics Engineer
This role is for an Analytics Engineer focused on e-commerce, requiring expertise in AWS, Power BI, Google Analytics 4, Python, and SQL. It is a permanent position with a competitive pay rate, fully remote work, and a focus on data pipeline development and insights.
🌎 Country
United Kingdom
🏝️ Location
Remote
📄 Contract
Full-time
🪜 Seniority
Entry level
💰 Range
Unknown
💱 Currency
£ GBP
💸 Pay
Unknown
🗓️ Discovered
July 31, 2025
📍 Location detailed
United Kingdom
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🧠 Skills
#Google Analytics
Role description
About Emperia 🚀
The Emperia platform powers the creation and management of immersive virtual experiences for brands across multiple retail sectors. The platform marries the reach and accessibility of e-commerce with the impact of physical customer service shopping experience while leveraging the unique traits of the virtual space, adding a layer of customer engagement, personalisation, data monitoring and omnichannel cohesion.
The Emperia team consists of 3D environment engineers and technical artists joined by fashion and retail industry veterans and branding experts. Hailed a virtual reality pioneer by Forbes Magazine, Emperia is working with some of the world’s leading names in fashion and retail, including Dior, Burberry, Lacoste, Tommy Hilfiger and more.
Emperia has been named an IDC Innovator in 2023; the top 10 most innovative company in Web3, metaverse, blockchain and cryptocurrency for 2023, by Fast Company; one of the most promising advertising and marketing tech startups of 2022 by BusinessInsider; is a proud British Fashion Council Patron and is the winner of a Webby 2023 Award and a Plug & Play Brand & Retail Europe Start-Up Award.
Our Values ⭐️
• Creativity - Creative solutions are the key driver to product quality & company growth
• Making an Impact - Prioritise activities that impact our customers most.
• Drive - Passionate about what we do and see no obstacles.
• Accountability - We are a team, but we take full responsibility for our actions to drive ourselves, the team and the company forward.
• Be Direct - We value clarity and believe that direct communication is a shortcut to great results
• Stay Curious - Learn new skills, invent new methods and approaches, and become better at what we do day by day.
Your Role 🎉
We are seeking a talented Analytics Engineer to lead the development of in-house business intelligence as part of our growth. You will be working with Google Analytics, Databases, PowerBI, AWS and third-party platforms to expand an existing solution. You will be collaborating with other engineers, the management team and designers on a day-to-day basis to create long-term, value-driven insights.
If you are looking for a position where you can make an impact, grow with the team, have experience working with cross-cultural teams, and be the leader of the industry, this position is right for you.
Responsibilities | What You Will Be Doing 💡
• Design, build, and maintain scalable data pipelines to support data ingestion, processing, and storage.
• Provide meaningful insights based on commercial awareness of the industry.
• Develop and implement robust data cleanup workflows to ensure data accuracy and consistency.
• Integrate analytics capabilities into various products to enhance data-driven functionality.
• Collaborate with cross-functional teams to gather requirements and develop dashboards, primarily in Power BI, for real-time data insights.
• Monitor and report key metrics to the management team, providing actionable insights.
• Manage and optimise the data architecture hosted on AWS, ensuring security, reliability, and scalability.
• Leverage Google Analytics 4 to integrate web and product data into the broader analytics ecosystem.
• Leverage other third-party platforms used by our company into the broader analytics ecosystem.
• Troubleshoot and resolve issues in the data pipelines and infrastructure.
Requirements 🛠️
• Proven experience as an Analytics Engineer or in a similar role, with a focus on building and maintaining data pipelines.
• Commercial awareness of the e-commerce industry
• Proficiency in working with AWS data services (e.g. S3, Redshift, Glue, Lambda).
• Strong understanding of Power BI for dashboard creation and data visualisation.
• Experience with Google Analytics 4 for data integration and reporting.
• Proficiency in Python, SQL, and ETL tools.
• Knowledge of data modelling, cleaning, and transformation techniques.
• Strong problem-solving skills and attention to detail.
• Excellent communication skills to translate data insights into business value
Preferred Qualifications ⭐
• Experience with serverless architectures on AWS.
• Familiarity with big data technologies (e.g. Spark, Hadoop).
• Knowledge of data governance and compliance best practices.
• Background in software development or experience with APIs for data integration
About You 🧩
• Excellent communication and teamwork skills.
• Ability to work autonomously, but know the value of communication and discussions.
• Enjoys working in a fast-paced and collaborative international environment.
Benefits of Working With Us 🌈
• Fully remote team
• In-person retreat with the entire Emperia team
• 33 days of annual leave, including UK Bank Holidays
• Development opportunities and funding for learning
A quick note: Please don’t use AI tools during the interview. We’re keen to get to know you — not what AI thinks we want to hear. Prep with it if you like, but the conversation should come from you.
About Emperia 🚀
The Emperia platform powers the creation and management of immersive virtual experiences for brands across multiple retail sectors. The platform marries the reach and accessibility of e-commerce with the impact of physical customer service shopping experience while leveraging the unique traits of the virtual space, adding a layer of customer engagement, personalisation, data monitoring and omnichannel cohesion.
The Emperia team consists of 3D environment engineers and technical artists joined by fashion and retail industry veterans and branding experts. Hailed a virtual reality pioneer by Forbes Magazine, Emperia is working with some of the world’s leading names in fashion and retail, including Dior, Burberry, Lacoste, Tommy Hilfiger and more.
Emperia has been named an IDC Innovator in 2023; the top 10 most innovative company in Web3, metaverse, blockchain and cryptocurrency for 2023, by Fast Company; one of the most promising advertising and marketing tech startups of 2022 by BusinessInsider; is a proud British Fashion Council Patron and is the winner of a Webby 2023 Award and a Plug & Play Brand & Retail Europe Start-Up Award.
Our Values ⭐️
• Creativity - Creative solutions are the key driver to product quality & company growth
• Making an Impact - Prioritise activities that impact our customers most.
• Drive - Passionate about what we do and see no obstacles.
• Accountability - We are a team, but we take full responsibility for our actions to drive ourselves, the team and the company forward.
• Be Direct - We value clarity and believe that direct communication is a shortcut to great results
• Stay Curious - Learn new skills, invent new methods and approaches, and become better at what we do day by day.
Your Role 🎉
We are seeking a talented Analytics Engineer to lead the development of in-house business intelligence as part of our growth. You will be working with Google Analytics, Databases, PowerBI, AWS and third-party platforms to expand an existing solution. You will be collaborating with other engineers, the management team and designers on a day-to-day basis to create long-term, value-driven insights.
If you are looking for a position where you can make an impact, grow with the team, have experience working with cross-cultural teams, and be the leader of the industry, this position is right for you.
Responsibilities | What You Will Be Doing 💡
• Design, build, and maintain scalable data pipelines to support data ingestion, processing, and storage.
• Provide meaningful insights based on commercial awareness of the industry.
• Develop and implement robust data cleanup workflows to ensure data accuracy and consistency.
• Integrate analytics capabilities into various products to enhance data-driven functionality.
• Collaborate with cross-functional teams to gather requirements and develop dashboards, primarily in Power BI, for real-time data insights.
• Monitor and report key metrics to the management team, providing actionable insights.
• Manage and optimise the data architecture hosted on AWS, ensuring security, reliability, and scalability.
• Leverage Google Analytics 4 to integrate web and product data into the broader analytics ecosystem.
• Leverage other third-party platforms used by our company into the broader analytics ecosystem.
• Troubleshoot and resolve issues in the data pipelines and infrastructure.
Requirements 🛠️
• Proven experience as an Analytics Engineer or in a similar role, with a focus on building and maintaining data pipelines.
• Commercial awareness of the e-commerce industry
• Proficiency in working with AWS data services (e.g. S3, Redshift, Glue, Lambda).
• Strong understanding of Power BI for dashboard creation and data visualisation.
• Experience with Google Analytics 4 for data integration and reporting.
• Proficiency in Python, SQL, and ETL tools.
• Knowledge of data modelling, cleaning, and transformation techniques.
• Strong problem-solving skills and attention to detail.
• Excellent communication skills to translate data insights into business value
Preferred Qualifications ⭐
• Experience with serverless architectures on AWS.
• Familiarity with big data technologies (e.g. Spark, Hadoop).
• Knowledge of data governance and compliance best practices.
• Background in software development or experience with APIs for data integration
About You 🧩
• Excellent communication and teamwork skills.
• Ability to work autonomously, but know the value of communication and discussions.
• Enjoys working in a fast-paced and collaborative international environment.
Benefits of Working With Us 🌈
• Fully remote team
• In-person retreat with the entire Emperia team
• 33 days of annual leave, including UK Bank Holidays
• Development opportunities and funding for learning
A quick note: Please don’t use AI tools during the interview. We’re keen to get to know you — not what AI thinks we want to hear. Prep with it if you like, but the conversation should come from you.