Analytics Engineer
About this role
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Vendors Teamtailor Analytics These cookies collect information to help us understand how the site is being used. Vendors Teamtailor Marketing These cookies are used to make advertising messages more relevant to you. In some cases, they also deliver additional functions on the site. Vendors Youtube, Linkedin Accept these cookies Decline all non-necessary cookies Product Development - Engage · Stockholm Analytics Engineer Join Voyado as an Analytics Engineer and help build the trusted data foundation behind the analytics and AI capabilities used by thousands of retailers. Apply for this job We are super excited to announce that Robin Bodin is now looking for an Analytics Engineer to join our Insights & Activation product area, focused on building the trusted data foundation that powers analytics, predictive models, and future AI capabilities across Voyado Engage. Our mission is to make analytics data reliable, governed, and actionable end to end — from canonical data products and semantic standards to the metrics and insights surfaced to customers. As part of this journey, we’re evolving both our data foundations and analytics products to create a more scalable, transparent, and trustworthy platform. We work in short feedback loops, close collaboration with stakeholders, and a strong belief that progress comes from learning and iteration — not just shipping. About the role This is not a traditional BI or dashboarding role. Team Intelligence is responsible for the analytics and reporting capabilities inside Voyado Engage. We’re evolving towards a modern analytics foundation where governed datasets, certified metrics and semantic definitions are treated as shared product assets that power both embedded analytics and future AI-driven experiences. As an Analytics Engineer, you’ll build and own the data products behind our customer-facing analytics. Working hands-on with SQL, Databricks and modern data tooling, you’ll model, validate and improve datasets, metric definitions and data quality processes. A key part of the role is identifying inconsistencies, duplicated logic and unclear ownership, and turning that into scalable and trusted solutions. The role sits at the intersection of analytics, product and engineering. You’ll collaborate closely with Product Managers, UX, analytics engineers and domain teams to ensure our analytics are understandable, consistent and reliable for customers Some of the things you'll be up to: - Designing and building governed data products with clear schemas, quality tests, lineage and ownership - Writing SQL to model, transform and validate structured data - Building and maintaining semantic definitions and certified metrics across analytics surfaces - Collaborating with domain teams to improve data quality and upstream ownership - Contributing to documentation, contracts and standards that make analytics reliable and understandable - Supporting the foundation behind embedded BI and future AI-powered analytics capabilities So, who are you? We’re looking for someone who combines strong technical ownership with a thoughtful and collaborative mindset. You care deeply about data quality, consistency and building systems that others can trust and scale on top of. You probably enjoy turning ambiguous business questions into clear and reliable metric definitions, and you prefer solving problems at the source rather than patching them downstream. You care about details like semantic clarity, documentation and naming conventions because you understand their long-term impact on both people and systems. At the same time, you enjoy collaborating across engineering, product, UX and customer-facing teams to build analytics experiences that are both technically robust and genuinely useful. Besides the above, we believe you've got: - Strong SQL skills for data exploration, transformation and validation - Experience with dbt or similar tooling for governed data transformations - Experience building or maintaining data products, semantic layers or certified metrics - Understanding of concepts such as lineage, data contracts, canonical entities and quality testing - Familiarity with modern data platforms such as Databricks, Snowflake or BigQuery Experience within retail tech, e-commerce, Databricks or lakehouse-style data platforms is considered a strong plus. What's in it for you? Voyado wouldn’t be the powerful platform it is without the people behind it. We really care for our Voyadoers and some examples of what we can offer you are: An engaged team with a knowledge-sharing and friendly culture Summits where we hang out, workshop, discuss, and have a good time together Opportunities for personal and professional growth and learning in a dynamic and supportive environment. Work-life balance – we don't have a long work-hours culture, we value engagement over hours worked. An office-first but flexible hybrid working policy. Some of our benefits: 30 days of vacation, so you can spend time on the things you love Beneficial bike lease, including e-bikes Breakfast buffet on Fridays Inhouse gym only for Voyadoers A generous gadget-and-phone package (your choice!) 5000 SEK per year in wellness allowance Parental leave top-up additional support for new parents A wellness hour you can use every week About Voyado Voyado is the agentic CX suite for retail. We help retailers of all sizes to create exceptional experiences – from first click to lasting loyalty. Our products help retailers understand customers, predict behaviors, and deliver personalized journeys that drive conversion and loyalty. With offices in Sweden, the UK, Germany, and the Netherlands, we work with hundreds of leading retailers like H&M, Stronger, Nudie Jeans, and Power. Voyado is backed by Viking Global Investors, Novax, Verdane, eEquity, and H&M Group. Ready to find out more? Lovely! Before one applies it can always feel like you need a better resume, more polish, or just another year of experience, but we say if you think this sounds like a place where you can shine don't hesitate to send in your resume! Making it personal with AI We truly believe you’ll position yourself best for success in the interview process by being yourself with support from AI where it makes sense, later in the process you will even be expected to use AI. But at the end of the day, what matters is meeting you, the person behind the application. There is no such thing as a perfect candidate; we’re all human so please, bring your authentic self! Don’t let AI over polish your CV or answers to the point where we can’t hear your real voice because that’s what we care about the most.
What this role is, and what else it is called
Employers in the UK advertise this kind of work as Data Analyst, Data Engineer, Data Scientist and Senior Data Engineer too, so it is worth searching more than one wording. It is a mid-level Data, AI & Machine Learning role in the UK, advertised as hybrid, splitting time between home and the office.
About hiring at Voyado
Voyado has 1 other live technology role on its careers page, across Software Engineering and Data, AI & Machine Learning. We have been observing Voyado hiring technology staff since May 2026. See all Voyado roles, salaries and stack.
How this role compares to the market
1,145 live UK roles list SQL right now, from 480 employers. The median advertised salary is £60,000; 26% are advertised as remote. Browse SQL roles.
231 live UK roles list Snowflake right now, from 68 employers. The median advertised salary is £124,000; 26% are advertised as remote. Browse Snowflake roles.
Market figures are today's snapshot of live UK roles on employer careers pages; see hiring trends.
Technologies mentioned
Detected on Voyado's careers page. ProdReady Recruitment lists this vacancy as an aggregator and is not the employer; applications go to the employer's own site.