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- Tasks: Build data pipelines and operationalise pricing analytics in a dynamic commercial environment.
- Company: Join a forward-thinking company that values innovation and collaboration.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Great opportunity for career advancement in a supportive team environment.
- Why this job: Make an impact by transforming data into actionable insights and driving business success.
- Qualifications: Strong SQL and Python skills, with experience in data pipelines and cloud platforms.
The predicted salary is between 40000 - 50000 £ per year.
Great opportunity for an Analytics Engineer who enjoys building data pipelines and operationalising pricing analytics in a commercial environment. You'll productionise Python-based models, build automated workflows (forecasting, optimisation, elasticity), and own end-to-end data flows. You'll also ensure quality, monitoring and governance of pricing outputs.
- Strong SQL & Python
- Experience with data pipelines, APIs and cloud platforms (e.g. Snowflake)
- Understanding of pricing/analytics concepts
- Strong stakeholder skills
- Working knowledge of pricing concepts such as elasticity, margin and forecasting
Hybrid working in Bristol, no sponsorship.
Analytics Engineer in West Bromwich employer: Xcede
Contact Detail:
Xcede Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer in West Bromwich
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work with data pipelines and pricing analytics. 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 Python models and automated workflows. This is your chance to demonstrate your expertise in SQL and cloud platforms like Snowflake.
✨Tip Number 3
Prepare for interviews by brushing up on pricing concepts like elasticity and margin. Be ready to discuss how you’ve operationalised analytics in past roles – real-world examples go a long way!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Analytics Engineer in West Bromwich
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and data pipelines. We want to see how you've operationalised pricing analytics in previous roles, so don’t hold back on those details!
Showcase Your Skills: When writing your application, emphasise your strong stakeholder skills and any experience you have with cloud platforms like Snowflake. We love seeing how you can communicate complex concepts clearly!
Be Specific About Your Experience: Don’t just list your responsibilities; share specific examples of projects where you’ve built automated workflows or managed end-to-end data flows. This helps us understand your hands-on experience.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Xcede
✨Know Your Tech Stack
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these technologies in past projects, especially in building data pipelines and automating workflows. Having specific examples will show your expertise and confidence.
✨Understand Pricing Concepts
Since the role involves operationalising pricing analytics, it’s crucial to have a solid grasp of concepts like elasticity, margin, and forecasting. Prepare to explain how you've applied these concepts in real-world scenarios, as this will demonstrate your analytical thinking and relevance to the position.
✨Showcase Your Stakeholder Skills
Strong stakeholder management is key for this role. Think of instances where you've successfully collaborated with different teams or communicated complex data insights to non-technical stakeholders. This will highlight your ability to bridge the gap between technical and commercial aspects.
✨Familiarise Yourself with Cloud Platforms
If you have experience with cloud platforms like Snowflake, be prepared to discuss it. If not, do some research on how these platforms work and their benefits in data management. Showing that you're proactive about learning can really impress the interviewers.