Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead data analysis initiatives and drive insights for exceptional digital experiences.
- Company: Join a global team focused on user-centric design and collaboration.
- Benefits: Fully remote work, competitive pay, and opportunities for professional growth.
- Why this job: Make a real impact by shaping product strategies with data-driven insights.
- Qualifications: Experience in data analysis, strong SQL skills, and familiarity with cloud analytics.
- Other info: Dynamic role with exposure to various stakeholders and excellent career advancement potential.
The predicted salary is between 36000 - 60000 £ per year.
Required for a fully-remote contract, an experienced Data Analyst to join a global, cross-functional team committed to delivering exceptional digital experiences through close collaboration, user-centric design, and continuous iteration. You will lead and coordinate analytical initiatives, driving the full analytical lifecycle—from hypothesis development through data analysis to actionable insights and strategic recommendations while ensuring data quality, accessibility, and reliability throughout the process.
Responsibilities
- Partner with Product Managers and Digital Value Stream Managers to shape product strategies and prioritise initiatives through data-informed insights.
- Drive customer‑centricity by analysing behavioural, commercial, and product performance data to enhance the digital experience.
- Define and monitor key KPIs and implement event tracking to evaluate product performance and ensure alignment with intended outcomes.
- Lead the development of business cases by integrating commercial, digital, and user behaviour insights.
- Promote a data‑driven culture by enhancing data visibility, educating stakeholders, and translating complex data into actionable narratives.
- Leverage SQL and tools such as BigQuery, Looker, and Power BI to explore, visualise, and communicate insights.
Experience
- Experience from product or business analysis, customer or commercial analytics, management consulting.
- Strong experience with SQL, proficiency in Python is a plus.
- Previous experience with cloud analytics environments such as Databricks or GCP.
- Previous experience within ecommerce, retail, fashion or tech product driven companies.
- Academic degree within Business Administration, Economics, Engineering (or similar).
- Experience in working with data visualization tools e.g. Power BI, Tableau, Google Data Studio, Looker Studio, etc.
- Demonstrated ability to synthesize large amounts of data into clear insights.
- Ability to work with multiple stakeholders across different competences (Commercial Leads, eCommerce Managers, Product Managers, Developers, Designers, Data Engineers, etc.).
- Be comfortable with working within a large matrix organization.
- Strong communication skills and an ability to communicate and explain data and its implications to various stakeholders.
- Analytical mindset with strong problem‑solving skills.
- Fluent in English (written and spoken).
To arrange an interview, please email in the first instance, your CV to jt@waconsultants.com.
Data Engineer employer: WA Consultants Ltd
Contact Detail:
WA Consultants Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or through professional groups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those using SQL, Python, or any visualisation tools. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common data-related questions and scenarios. Think about how you’d explain complex data insights to non-technical stakeholders – clarity is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Engineer role. Highlight your experience with SQL, Python, and any cloud analytics tools you've used. We want to see how your skills align with what we're looking for!
Showcase Your Analytical Skills: In your application, don’t just list your past roles—tell us about specific projects where you drove insights from data. We love seeing how you’ve made a real impact through your analytical prowess.
Keep It Clear and Concise: When writing your application, clarity is key! Use straightforward language and avoid jargon. We appreciate a well-structured application that gets straight to the point without fluff.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you’re considered for the role in the best way possible!
How to prepare for a job interview at WA Consultants Ltd
✨Know Your Data Tools
Familiarise yourself with SQL, BigQuery, Looker, and Power BI before the interview. Be ready to discuss how you've used these tools in past projects, as this will show your technical prowess and ability to drive insights from data.
✨Understand the Business Context
Research the company’s products and their digital strategies. Be prepared to discuss how your analytical skills can enhance customer experiences and drive product performance. This shows that you’re not just a data whiz but also understand the bigger picture.
✨Prepare for Scenario Questions
Think of examples where you've led analytical initiatives or improved data quality. Prepare to explain your thought process and the impact of your work. This will demonstrate your problem-solving skills and ability to communicate complex data effectively.
✨Showcase Your Communication Skills
Practice explaining data insights in simple terms. You might be asked to present findings to non-technical stakeholders, so being able to translate complex data into actionable narratives is key. This will highlight your ability to promote a data-driven culture.
