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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, and experience with marketing tools.
- Other info: Flexible working options and opportunities for professional development and networking.
The predicted salary is between 28800 - 48000 £ 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.
Locations
Analytics Engineer employer: Wyoming Interactive
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 work with Martech stacks. Engaging in conversations about data integration and personalisation can provide insights and potentially lead to referrals.
✨Tip Number 3
Showcase your understanding of data governance and quality by discussing relevant experiences in previous roles. Be prepared to explain how you've ensured data accuracy and compliance in your past projects during interviews.
✨Tip Number 4
Research Wyoming Interactive and their clients to understand their business priorities and challenges. Tailoring your discussions around how your skills can directly address their needs will demonstrate your genuine interest in the role.
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. Emphasise your skills in SQL, Snowflake, and any data transformation tools you've used, as these are crucial for the Analytics Engineer role.
Craft a Compelling Cover Letter: Write a cover letter that connects your background to the specific requirements of the job. Mention your experience with data integration 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 marketing teams, and highlight any successful outcomes that demonstrate your impact.
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 Analytics Engineer position.
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, Shopify, and Google Analytics. Show that you understand how these tools interact within a marketing ecosystem and be ready to explain how you can ensure clean data flows between them.
✨Demonstrate Data Governance Knowledge
Highlight your understanding of data quality, documentation, and governance. Prepare examples of how you've maintained high standards in these areas in past projects, as this role places a strong emphasis on compliance and privacy.
✨Prepare for Collaboration Questions
Since the role involves working closely with marketing and technical teams, think of examples where you've successfully collaborated across departments. Be ready to discuss how you translate business goals into technical solutions, showcasing your communication skills.
