At a Glance
- Tasks: Support pricing strategy by automating and operationalising pricing models.
- Company: Respected consumer-focused organisation with a collaborative culture.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Join a dynamic team with excellent career advancement opportunities.
- Why this job: Make a real impact on pricing strategies in a fast-paced environment.
- Qualifications: Degree in a numerical subject, strong SQL and Python skills.
The predicted salary is between 40000 - 50000 £ per year.
An exciting opportunity to join a highly respected consumer-focused organisation within a growing pricing function, where you'll play a key role in supporting pricing strategy through the deployment, automation and operationalisation of pricing models across the Consumer business. This role offers significant opportunity to influence pricing capability and improve commercial performance by enabling scalable, reliable and automated pricing processes.
Working within a collaborative and technically capable team, you'll help deliver best-in-class pricing practices that support acquisition, retention and profitability in a highly competitive market. This is a hands-on technical and analytical role where your work will directly support commercial pricing decisions through the development of robust data pipelines, workflow automation and production-ready model deployment. You'll work closely with pricing analysts and stakeholders across the business to ensure pricing models and data processes are scalable, accurate and operationally effective.
We're looking for someone who enjoys solving complex technical challenges, working with data and building automated solutions that drive real commercial value within a fast-paced pricing environment.
Responsibilities include:
- Support the successful delivery of Consumer pricing strategy and initiatives, driving profitability and trading performance
- Productionise pricing models by converting analysts' Python code into scalable, maintainable and deployable workflows
- Design, build and maintain data pipelines for pricing inputs, including ingestion, transformation, feature preparation and quality checks
- Build and automate workflows for elasticity, forecasting, optimisation and other pricing models
- Develop and manage API integrations, including competitor pricing feeds and downstream systems
- Work closely with pricing analysts to translate pricing logic into production-ready processes
- Support model performance improvement through data preparation, feature engineering and data mining techniques
- Monitor production processes and model performance over time, recommending corrective action where required
- Ensure pricing models are deployed correctly and operating as expected within customer-facing environments
- Maintain robust version control, testing, monitoring and technical documentation standards
- Ensure all pricing activity aligns with FCA regulatory guidance and internal governance processes
- Collaborate closely with Pricing, Finance, Marketing, Insights and Compliance teams across the business
Skills required:
- Degree in a numerical subject or equivalent relevant qualification
- Strong SQL skills and solid Python experience for model packaging and workflow automation
- Experience building and maintaining data pipelines and automated workflows
- Understanding of APIs, data ingestion and system integrations
- Experience with cloud-based data platforms such as Snowflake
- Familiarity with Git and version control best practices
- Experience implementing data quality checks and monitoring production processes
- Working knowledge of pricing concepts such as elasticity, forecasting, optimisation and margin analysis
- Experience supporting analytical teams with feature engineering, data preparation and model inputs
- Background in analytics engineering, data engineering or a technical analytics environment
- Hands-on experience operationalising analytical models using SQL and/or Python
- Strong analytical and problem-solving skills with a continuous improvement mindset
- Strong stakeholder management and communication skills with the ability to build credibility and trust at all levels
- Commercially minded with strong delivery focus and financial awareness
If you enjoy working in a commercially focused environment where your technical expertise directly supports pricing decisions and business performance, then this could be an excellent next step in your career.
Pricing Analytics Engineer in Bristol employer: Datatech
Contact Detail:
Datatech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Pricing Analytics Engineer in Bristol
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your technical skills. Be ready to discuss your experience with SQL and Python, and how you've tackled complex pricing challenges in the past.
✨Tip Number 3
Showcase your projects! If you've built data pipelines or automated workflows, make sure to highlight these in your discussions. Real-world examples can set you apart from other candidates.
✨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 in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Pricing Analytics Engineer role. Highlight your SQL and Python skills, as well as any experience with data pipelines and automated workflows. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about pricing analytics and how your technical expertise can drive commercial value. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Problem-Solving Skills: In your application, don’t forget to mention specific examples where you've tackled complex technical challenges. We’re looking for someone who thrives in a fast-paced environment, so let us know how you’ve made an impact in previous roles!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Datatech
✨Know Your Pricing Models
Make sure you understand the key pricing concepts mentioned in the job description, like elasticity and optimisation. Be ready to discuss how you've applied these concepts in your previous roles or projects.
✨Showcase Your Technical Skills
Prepare to demonstrate your SQL and Python skills during the interview. You might be asked to solve a problem on the spot, so brush up on your coding abilities and be ready to explain your thought process.
✨Understand Data Pipelines
Familiarise yourself with the data pipeline processes relevant to pricing analytics. Be prepared to discuss how you've built or maintained data pipelines in the past, and how you ensure data quality and accuracy.
✨Communicate Effectively
Since this role involves collaboration with various teams, practice articulating your ideas clearly. Think of examples where you've successfully communicated complex technical information to non-technical stakeholders.