Pricing Analytics Engineer

Pricing Analytics Engineer

Full-Time 40000 - 50000 € / year (est.) No home office possible
Datatech Analytics

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: Dynamic team with 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!

Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.

Pricing Analytics Engineer 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 creativity. With a competitive salary and hybrid working model, the company offers exceptional opportunities for professional growth and development, empowering you to make a tangible impact on pricing strategies and commercial performance. Enjoy the benefits of working within a supportive team that champions continuous improvement and fosters a strong sense of community.

Datatech Analytics

Contact Detail:

Datatech Analytics Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Pricing Analytics Engineer

Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues 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 those interviews by practising common questions and showcasing your technical skills. Brush up on your SQL and Python knowledge, and be ready to discuss how you've tackled complex problems in the past.

Tip Number 3

Don’t just apply anywhere; focus on companies that align with your values and career goals. Check out our website for roles that excite you, like the Pricing Analytics Engineer position, and tailor your approach to each application.

Tip Number 4

Follow up after interviews! A quick thank-you email can go a long way in leaving a positive impression. It shows your enthusiasm for the role and keeps you fresh in their minds as they make decisions.

We think you need these skills to ace Pricing Analytics Engineer

SQL
Python
Data Pipeline Development
Workflow Automation
API Integration
Cloud-based Data Platforms (e.g., Snowflake)
Git and Version Control

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 skills can contribute to our team. Keep it concise but impactful – we love a good story!

Showcase Your Technical Skills:Don’t forget to mention your hands-on experience with cloud-based data platforms and APIs. We’re looking for someone who can hit the ground running, so make sure we know about your technical prowess!

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 don’t miss out on any important updates. Plus, we love seeing applications come in through our own channels!

How to prepare for a job interview at Datatech Analytics

Know Your Pricing Concepts

Make sure you brush up on key pricing concepts like elasticity, forecasting, and optimisation. Being able to discuss these topics confidently will show that you understand the core of what the role entails and how it impacts commercial performance.

Showcase Your Technical Skills

Prepare to demonstrate your SQL and Python skills during the interview. You might be asked to solve a problem or explain how you've used these tools in past projects. Bring examples of your work, especially any data pipelines or automated workflows you've built.

Understand the Company’s Pricing Strategy

Research the company’s current pricing strategies and any recent changes in the market. This will help you tailor your answers and show that you're genuinely interested in how you can contribute to their goals.

Prepare for Stakeholder Interaction

Since this role involves collaboration with various teams, think about how you would communicate complex technical information to non-technical stakeholders. Be ready to share examples of how you've successfully managed stakeholder relationships in the past.