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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.
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.
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 CRM systems like HubSpot and data integration platforms like RudderStack. Engaging in conversations can provide insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss how you've previously transformed raw data into actionable insights. Be ready to share specific examples of how your work has supported marketing teams or improved decision-making processes in past roles.
✨Tip Number 4
Showcase your understanding of data governance and quality assurance. Be prepared to explain how you ensure data accuracy and compliance, as this is crucial for the role and will demonstrate your attention to detail.
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 data transformation tools like dbt, 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. Mention your experience with integrating data from platforms like Google Analytics and HubSpot, and how you can contribute to the team at Wyoming Interactive.
Showcase Your Projects: If you have worked on relevant projects, include them in your application. Describe how you built governed data pipelines or supported CRM teams, and highlight any experience with tools like RudderStack or Azure Data Factory.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any 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
✨Showcase Your Technical Skills
Make sure to highlight your experience with SQL, Snowflake, and data transformation tools like dbt. Be prepared to discuss specific projects where you've successfully integrated data from platforms such as Google Analytics and HubSpot.
✨Understand the Martech Stack
Familiarise yourself with the various tools mentioned in the job description, such as RudderStack, Azure Data Factory, and Looker Studio. Demonstrating knowledge of how these tools work together will show your readiness for the role.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about how you would approach data quality issues or how to ensure compliance and governance in your data pipelines.
✨Communicate Effectively with Non-Technical Teams
Since you'll be working closely with marketing and analytics teams, practice explaining complex technical concepts in simple terms. This will demonstrate your ability to bridge the gap between technical and non-technical stakeholders.
