At a Glance
- Tasks: Support pricing strategy by automating and operationalising pricing models.
- Company: Join a respected consumer-focused organisation with a collaborative culture.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Exciting referral schemes and excellent career advancement opportunities.
- Why this job: Make a real impact on pricing decisions in a fast-paced environment.
- Qualifications: Degree in a numerical subject, strong SQL and Python skills required.
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. If this sounds like the role for you then please apply today!
Locations
Pricing Analytics Engineer in Bath, Somerset employer: Datatech Analytics
Join a dynamic and innovative consumer-focused organisation in Bristol, where as a Pricing Analytics Engineer, you'll thrive in a collaborative work culture that values technical expertise and continuous improvement. With a competitive salary and hybrid working model, you will have the opportunity to influence pricing strategies while enjoying robust employee growth opportunities and a supportive environment that encourages creativity and problem-solving. This role not only offers meaningful work but also unique advantages such as participation in referral schemes and engagement in industry-leading events.
StudySmarter Expert Advice🤫
We think this is how you could land Pricing Analytics Engineer in Bath, Somerset
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in pricing analytics. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and SQL. This will give potential employers a taste of what you can do and how you can add value.
✨Tip Number 3
Prepare for interviews by brushing up on common pricing concepts and technical questions. Practice explaining your past projects and how they relate to the role you're applying for.
✨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 Bath, Somerset
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Pricing Analytics Engineer role. Highlight your SQL and Python skills, and any experience you have with data pipelines and automated workflows. We want to see how your background aligns with our needs!
Showcase Your Technical Skills:Don’t hold back on showcasing your technical prowess! Include specific examples of how you've built or maintained data pipelines, or any hands-on experience with APIs and cloud-based platforms like Snowflake. This is your chance to shine!
Communicate Clearly:When writing your application, keep it clear and concise. Use straightforward language to explain your experiences and how they relate to the role. Remember, we value strong communication skills, so let that come through in your writing!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're keen and ready to take the next step in your career with us!
How to prepare for a job interview at Datatech Analytics
✨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 in past roles or projects, as this will show your practical knowledge and ability to contribute to their pricing strategy.
✨Showcase Your Technical Skills
Prepare to demonstrate your SQL and Python skills during the interview. You might be asked to solve a technical problem or explain how you've built data pipelines or automated workflows in previous positions. Bring examples of your work to illustrate your experience.
✨Communicate Effectively
Since this role involves collaboration with various teams, practice articulating complex technical concepts in a way that's easy for non-technical stakeholders to understand. This will highlight your strong communication skills and ability to build credibility across departments.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's pricing strategy and how they measure success. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values, especially in a fast-paced environment.
