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- Tasks: Build data pipelines and operationalise pricing analytics in a commercial setting.
- Company: Join a dynamic team focused on innovative data solutions.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for growth.
- Other info: Great opportunity for career advancement in a collaborative environment.
- Why this job: Make an impact by transforming data into actionable insights.
- Qualifications: Strong SQL and Python skills with experience in data pipelines.
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 Newport employer: Xcede
Contact Detail:
Xcede Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer in Newport
✨Tip Number 1
Network like a pro! Reach out to people 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 will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and Python knowledge. Be ready to discuss how you've used these skills in real-world scenarios, especially in relation to pricing concepts like elasticity and forecasting.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals like you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Analytics Engineer in Newport
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and SQL, especially in building 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 Projects: If you've worked on any relevant projects, especially those involving forecasting or optimisation, be sure to include them. We love seeing practical examples of your skills in action, so let us know what you've built!
Highlight Stakeholder Skills: Since strong stakeholder skills are key for this role, mention any experiences where you’ve collaborated with others or communicated complex data insights. We want to know how you can bridge the gap between data and decision-making.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves!
How to prepare for a job interview at Xcede
✨Know Your Tech Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've built data pipelines and automated workflows in the past. Having specific examples of your work with cloud platforms like Snowflake will really impress them!
✨Understand Pricing Concepts
Since this role involves operationalising pricing analytics, it’s crucial to have a solid grasp of pricing concepts such as elasticity, margin, and forecasting. Prepare to explain these concepts and how you've applied them in previous projects.
✨Showcase Your Stakeholder Skills
Strong stakeholder management is key for this position. Think of instances where you've successfully collaborated with different teams or communicated complex data insights to non-technical stakeholders. Be ready to share these experiences!
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, the tools they use for monitoring and governance, or how they measure the success of their pricing strategies. This shows your genuine interest in the role and helps you assess if it's the right fit for you.