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- Tasks: Transform and model marketing data for decision-making and campaign activation.
- Company: Wyoming Interactive is an award-winning digital consultancy for global leaders in various sectors.
- Benefits: Enjoy hybrid work, performance bonuses, profit sharing, and 28 days holiday plus extra time off.
- Why this job: Join a supportive team shaping digital performance for top brands while developing your skills.
- Qualifications: 3+ years in data roles, strong SQL and Snowflake skills, experience with marketing tools.
- Other info: Flexible working options and opportunities for professional development and networking.
The predicted salary is between 36000 - 60000 £ per year.
Wyoming Interactive is an award-winning digital consultancy that designs and delivers sophisticated digital platforms for global leaders in Life Sciences, Financial Services, and Technology. Our work helps enterprise clients better understand, engage, and convert their customers, with the right data powering the right decisions.
We’re now hiring an Analytics Engineer to support a high-profile international client. This role focuses on transforming and modelling marketing data so it can be used for decision-making, personalisation, and campaign activation across multiple platforms and markets.
The Role
As an Analytics Engineer, you’ll sit between data engineering and marketing activation. Your job is to make raw data usable, building scalable, governed datasets that power segmentation, performance measurement, and automated marketing journeys. You won’t be running campaigns or designing the customer journey, but you’ll ensure that data flows cleanly and accurately across the Martech stack so CRM teams can.
Day to day you’ll be designing and maintaining high-quality, analysis-ready datasets that support CRM, product, and marketing teams in making informed decisions. Using Snowflake alongside tools like dbt and SQL, you’ll model data to enable segmentation, performance tracking, and personalised marketing. You will have the opportunity to work across a broad Martech stack, including platforms such as HubSpot, Shopify, Google Analytics, and Meta ads, ensuring that clean, consistent data is available where and when it is needed.
You’ll build and manage governed data pipelines using tools like RudderStack and Azure Data Factory, and support reporting and visualisation through platforms such as Looker Studio and PowerBI, collaborating with internal stakeholders and client teams to ensure data models align with business priorities, while maintaining strong standards around privacy, compliance, and governance.
What You’ll Bring
- 3+ years working in data, analytics, or martech-adjacent engineering roles
- Strong skills in SQL, Snowflake, and data transformation/modelling tools (e.g. dbt)
- Experience integrating data from Google Analytics and HubSpot
- Familiarity with CDPs or event tracking platforms such as RudderStack
- Ability to work closely with marketing, analytics, and technical teams, translating business goals into technical solutions
- A thoughtful, detail-oriented approach to data quality, documentation, and governance
Nice to Have
- Experience supporting CRM or marketing teams at enterprise scale
- Previous work in ecommerce, consumer products, or lifestyle sectors
- Familiarity with CI/CD principles or modern data ops workflows
- Understanding of campaign enablement use cases (e.g. personalisation, journey orchestration, audience targeting)
Why Join Wyoming Interactive?
- We offer the best of both worlds, a tight-knit consultancy environment backed by large-scale client impact.
- You’ll work with smart, supportive teammates who value your input, while building platforms that shape the digital performance of leading global brands.
- Hybrid, remote, and flexible working options
- Performance-based bonus
- Annual profit share
- 28 days holiday + extra time off at Christmas & New Year
- Skills development opportunities and regular conference access
- Edinburgh HQ with social events and team gatherings
Curious to Learn More? Send us your CV or get in touch for an informal chat, we’re always happy to walk through the opportunity and answer your questions.
Contact Detail:
Wyoming Interactive Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as Snowflake, dbt, and SQL. Having hands-on experience or projects showcasing your skills with these technologies can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the analytics and marketing fields, especially those who have experience with Martech stacks. Engaging in conversations on platforms like LinkedIn can help you gain insights and potentially get referrals for the role.
✨Tip Number 3
Prepare to discuss how you've previously transformed and modelled data for decision-making. Be ready to share specific examples of how your work has impacted marketing strategies or improved data quality in past roles.
✨Tip Number 4
Showcase your understanding of data governance and compliance, as these are crucial in the role. Being able to articulate how you ensure data quality and privacy in your projects will demonstrate your fit for the position.
We think you need these skills to ace Analytics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data, analytics, and martech engineering roles. Emphasise your skills in SQL, Snowflake, and any data transformation tools you've used, as these are crucial for the Analytics Engineer position.
Craft a Compelling Cover Letter: Write a cover letter that connects your background to the specific requirements of the role. Discuss your experience with data modelling and how it aligns with the needs of marketing teams, showcasing your understanding of the Martech stack.
Showcase Relevant Projects: If you have worked on projects involving data pipelines, CRM systems, or marketing analytics, be sure to include these in your application. Highlight your contributions and the impact they had on decision-making and campaign activation.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any spelling or grammatical errors. A polished application reflects your attention to detail, which is essential for the role of an Analytics Engineer.
How to prepare for a job interview at Wyoming Interactive
✨Know Your Tools
Familiarise yourself with the specific tools mentioned in the job description, such as SQL, Snowflake, and dbt. Be prepared to discuss your experience with these technologies and how you've used them to transform and model data in previous roles.
✨Understand the Martech Stack
Research the various platforms listed, like HubSpot, Google Analytics, and RudderStack. Show that you understand how these tools interact and how clean data flows through them to support marketing efforts.
✨Demonstrate Data Quality Awareness
Be ready to talk about your approach to data quality, documentation, and governance. Provide examples of how you've ensured data accuracy and compliance in past projects, as this is crucial for the role.
✨Prepare for Technical Questions
Expect technical questions related to data modelling and transformation. Brush up on your knowledge of data pipelines and be ready to explain how you would approach building and managing them in a real-world scenario.
