At a Glance
- Tasks: Support pricing strategy by automating models and ensuring data accuracy.
- Company: Datatech, a forward-thinking company in Bristol with a hybrid work culture.
- Benefits: Flexible working, competitive salary, and opportunities for professional growth.
- Other info: Join a dynamic team focused on best-in-class pricing practices.
- Why this job: Make a real impact on pricing strategies while collaborating with talented analysts.
- Qualifications: Strong SQL and Python skills, degree in a numerical subject, and data pipeline experience.
The predicted salary is between 35000 - 45000 £ per year.
Datatech is seeking a Pricing Analytics Engineer in Bristol to support pricing strategy through the automation and operationalisation of models in a hybrid work environment. You'll influence pricing capability and work closely with analysts to ensure models are scalable and accurate.
The role requires strong SQL and Python skills, a degree in a numerical subject, and experience with data pipelines. Collaborating across teams, you'll help deliver best-in-class pricing practices.
Pricing Analytics Engineer: Data Pipelines & Automation in Bristol employer: Datatech
Datatech is an excellent employer that fosters a collaborative and innovative work culture in the vibrant city of Bristol. With a strong focus on employee growth, we offer opportunities for professional development and skill enhancement, particularly in data analytics and automation. Our hybrid work environment promotes flexibility, allowing you to balance your personal and professional life while contributing to impactful pricing strategies.
StudySmarter Expert Advice🤫
We think this is how you could land Pricing Analytics Engineer: Data Pipelines & Automation in Bristol
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at Datatech. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! If you've got a portfolio or any projects showcasing your SQL and Python prowess, make sure to highlight them during interviews. Real examples of your work can set you apart from the crowd.
✨Tip Number 3
Prepare for those tricky questions! Brush up on common interview questions related to data pipelines and pricing strategies. We all know how important it is to demonstrate your knowledge and problem-solving skills.
✨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 Pricing Analytics Engineer: Data Pipelines & Automation in Bristol
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your SQL and Python skills in your application. We want to see how you can use these tools to support pricing strategies and automate models, so don’t hold back!
Tailor Your Application:Take a moment to customise your CV and cover letter for this role. We love seeing how your experience aligns with our needs, especially when it comes to data pipelines and collaboration across teams.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and directly related to the job description.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Datatech
✨Know Your SQL and Python Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be prepared to discuss specific projects where you've used these languages, and think about how you can demonstrate your problem-solving abilities with data pipelines.
✨Understand Pricing Strategies
Familiarise yourself with current pricing strategies and trends in the industry. Being able to discuss how automation can enhance pricing models will show that you're not just technically skilled but also understand the business side of things.
✨Prepare for Collaborative Scenarios
Since the role involves working closely with analysts and other teams, think of examples where you've successfully collaborated on projects. Be ready to share how you communicated complex data insights to non-technical stakeholders.
✨Ask Insightful Questions
Prepare some thoughtful questions about Datatech's pricing practices and the tools they use. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values.
