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- Tasks: Join a vibrant team to analyse data and deliver impactful insights for a leading retail brand.
- Company: A unique UK retailer passionate about creativity, innovation, and data-driven decisions.
- Benefits: Enjoy up to 50% staff discount, 30 days holiday, private medical cover, and flexible working.
- Why this job: Be part of a collaborative culture that empowers you to drive business impact through data.
- Qualifications: Strong SQL skills, proficiency in Tableau, and excellent communication abilities required.
- Other info: Work in a supportive environment with opportunities for professional development and wellbeing support.
The predicted salary is between 47000 - 65000 £ per year.
Much Loved UK Retailer £55k - £65k plus 50% discount and excellent benefits. Surrey Head Office – accessible from central London in 30 mins by train or parking onsite. 3 days in office.
An exciting opportunity has opened up for an Analytics Engineer / Insights Analyst to join a vibrant and collaborative team at a prominent and much-loved retail brand with a passion for creativity, innovation, and data-driven decision-making.
In this role, you’ll support performance reporting and commercial insights by developing strong data foundations in a cloud-based data environment. You’ll be key in interrogating data, building dashboards, and delivering impactful insights that inform trading, marketing, customer decisions and wider business strategy.
The Company: A disruptive and unique retailer looking to bolster its data team with a multi-faceted and multi-skilled analytics professional looking for a high-growth opportunity. Working amongst an agile team of technical and analytical talent, you will work under the guidance of a highly experienced analytics leader, supporting them directly in driving a data-driven decision-making culture, as well as working towards empowering various stakeholders in leveraging data to drive business impact through fostering a self-serve culture, driving value and optimal customer experience both in store and online through ecommerce channels.
Strong technical skills in SQL, data visualisation tools and ideally Python for more advanced analysis, but most importantly, the ability to add commercial value through data analysis.
What You’ll Be Doing:
- Analyse business performance and customer engagement, identify trends and deliver actionable insights
- Design and build automated reporting and dashboards using Tableau (or similar BI tools)
- Collaborate with Marketing, e-commerce, and Buying & Merchandising teams on data needs
- Work with Data Engineers to transform source system data using tools like DBT
- Develop dimensional data models and apply best practices in data warehousing
- Deliver advanced analytics projects such as customer segmentation, forecasting, and LTV analysis
- Maintain code-driven workflows and version control through GitHub
What We’re Looking For:
- Strong SQL skills (Google BigQuery or similar cloud platforms)
- Proficiency in Tableau or other data visualisation tools
- Understanding of data modelling (Kimball methodology preferred)
- Experience with DBT / Airflow and orchestration tools
- Strong communication and stakeholder management skills
- Familiarity with GitHub for version control and documentation
Bonus Points For:
- Python skills
- Knowledge of JSON and ETL/data ingestion workflows
- Experience with AI/ML techniques for predictive modelling
Benefits:
- Generous staff discount (up to 50%)
- 30 days holiday (incl. bank holidays), increasing with service
- Annual discretionary bonus scheme
- Private medical or health cash plan cover
- Access to on-site gym and wellbeing support
- Cycle to work scheme and regular free lunches
- Enhanced parental leave policies
- Flexible working and support for professional development
- Active DEI community and mental health first aider network
Senior Analytics Engineer employer: Omnis Partners
Contact Detail:
Omnis Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineer
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as SQL, Tableau, and DBT. Having hands-on experience or projects showcasing your skills with these technologies can set you apart during the interview process.
✨Tip Number 2
Prepare to discuss your previous experiences where you've successfully delivered actionable insights from data analysis. Be ready to share specific examples that demonstrate your ability to drive business impact through data-driven decision-making.
✨Tip Number 3
Network with current or former employees of the company on platforms like LinkedIn. Engaging with them can provide you with insider knowledge about the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 4
Showcase your communication and stakeholder management skills during the interview. Prepare to discuss how you've collaborated with cross-functional teams in the past, as this role requires strong collaboration with marketing, e-commerce, and merchandising teams.
We think you need these skills to ace Senior Analytics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the job description. Focus on your SQL, data visualisation, and analytics capabilities, as well as any experience with tools like Tableau and DBT.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data-driven decision-making and your understanding of the retail industry. Mention specific projects or experiences that demonstrate your ability to deliver actionable insights.
Showcase Technical Skills: In your application, clearly outline your technical skills, especially in SQL and data visualisation tools. If you have experience with Python or GitHub, be sure to include that as well, as it will strengthen your application.
Highlight Collaboration Experience: Since the role involves working with various teams, emphasise any past experiences where you've collaborated with marketing, e-commerce, or other departments. This will show your ability to work in a team-oriented environment.
How to prepare for a job interview at Omnis Partners
✨Showcase Your Technical Skills
Make sure to highlight your strong SQL skills and experience with data visualisation tools like Tableau. Be prepared to discuss specific projects where you've used these skills to deliver insights or improve business performance.
✨Demonstrate Your Analytical Thinking
Prepare examples of how you've analysed data to identify trends and deliver actionable insights. Discuss any advanced analytics projects you've worked on, such as customer segmentation or forecasting, to showcase your ability to add commercial value through data analysis.
✨Communicate Effectively
Strong communication skills are essential for this role. Practice explaining complex data concepts in simple terms, as you'll need to collaborate with various teams. Be ready to discuss how you've managed stakeholder expectations in previous roles.
✨Familiarise Yourself with the Company Culture
Research the retailer's values and mission. Understanding their focus on creativity, innovation, and data-driven decision-making will help you align your answers with what they are looking for in a candidate. Show enthusiasm for their brand and how you can contribute to their goals.
