Associate Analytics Engineer
UK Visa Sponsorship Analytics
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Occupation TypeMetal working machine operatives
Occupation Code Skill LevelIneligible
Sponsorship EligibilityIneligible for Sponsorship
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Description
At Optimizely, we're on a mission to help people unlock their digital potential. We do that by reinventing how marketing and product teams work to create and optimize digital experiences across all channels. With Optimizely One, our industry-first operating system for marketers, we offer teams flexibility and choice to build their stack their way with our fully SaaS, fully decoupled, and highly composable solution.
We are proud to help more than 10,000 businesses, including H&M, PayPal, Zoom, and Toyota, enrich their customer lifetime value, increase revenue and grow their brands. Our innovation and excellence have earned us numerous recognitions as a leader by industry analysts such as Gartner, Forrester, and IDC, reinforcing our role as a trailblazer in MarTech.
At our core, we believe work is about more than just numbers -- it's about the people. Our culture is dynamic and constantly evolving, shaped by every employee, their actions and their stories. With over 1500 Optimizers spread across 12 global locations, our diverse team embodies the "One Optimizely" spirit, emphasizing collaboration and continuous improvement, while fostering a culture where every voice is heard and valued.
Join us and become part of a company that's empowering people to unlock their digital potential!
To get a sneak peek into our culture, find us on Instagram: @optimizely
Introduction
As an Associate Analytics Engineer, you will play a foundational role in shaping how AI interacts with our data. You will be responsible for building and maintaining a robust semantic layer using dbt and Snowflake, ensuring our data is clean, well-documented, and ready for consumption by both human analysts and AI agents. In doing so, you will help democratise access to key insights across the business, empowering teams at every level to make better, faster decisions without needing to be technical experts.
This is an exciting moment for someone early in their career to help define how the next generation of data tooling is built and used. You will be supported by an experienced team and given real ownership from day one, with a clear path to grow into a more senior analytics engineering role as your skills develop.
Job Responsibilities
We are proud to help more than 10,000 businesses, including H&M, PayPal, Zoom, and Toyota, enrich their customer lifetime value, increase revenue and grow their brands. Our innovation and excellence have earned us numerous recognitions as a leader by industry analysts such as Gartner, Forrester, and IDC, reinforcing our role as a trailblazer in MarTech.
At our core, we believe work is about more than just numbers -- it's about the people. Our culture is dynamic and constantly evolving, shaped by every employee, their actions and their stories. With over 1500 Optimizers spread across 12 global locations, our diverse team embodies the "One Optimizely" spirit, emphasizing collaboration and continuous improvement, while fostering a culture where every voice is heard and valued.
Join us and become part of a company that's empowering people to unlock their digital potential!
To get a sneak peek into our culture, find us on Instagram: @optimizely
Introduction
As an Associate Analytics Engineer, you will play a foundational role in shaping how AI interacts with our data. You will be responsible for building and maintaining a robust semantic layer using dbt and Snowflake, ensuring our data is clean, well-documented, and ready for consumption by both human analysts and AI agents. In doing so, you will help democratise access to key insights across the business, empowering teams at every level to make better, faster decisions without needing to be technical experts.
This is an exciting moment for someone early in their career to help define how the next generation of data tooling is built and used. You will be supported by an experienced team and given real ownership from day one, with a clear path to grow into a more senior analytics engineering role as your skills develop.
Job Responsibilities
- Build and maintain dbt models to create a reliable, well-structured semantic layer on top of Snowflake
- Design and manage data models optimised for use by AI agents and LLM-based tooling (including Optimizely’s own Opal product)
- Develop and maintain metadata, including descriptions, lineage, and business context, to enable AI agents to accurately understand and query the data
- Experiment with AI agents and LLM-based tooling to explore how data models and context layers can power intelligent, autonomous workflows
- Build metrics to track the quality of data, and actively monitor these to provide assurance to business users
- Collaborate with data engineers, analysts, and data scientists to translate business requirements into scalable, reusable data models
- Contribute to documentation standards and best practices across the team
- At least 1 year of working experience, with knowledge of SQL gained through coursework, projects, or early professional experience
- Exposure to or interest in dbt for data modelling and transformation
- A clear vision for how AI and LLMs can transform the way businesses use and act on data, and a drive to help make that a reality
- Exposure to prompt engineering or LLM-based tooling
- Strong attention to detail, particularly regarding documentation
Bachelor's or Master's degree in Computer Science, Information Systems, Mathematics, Statistics, Physics, Economics, or a related quantitative discipline — or equivalent practical experience.
Optimizely is committed to a diverse and inclusive workplace. Optimizely is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.