Job Description
Pricing Analytics Engineer Consumer PricingBristol Hybrid (2 days per week in office)Competitive SalaryJob Reference J13112An 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 performanceProductionise pricing models by converting analysts' Python code into scalable, maintainable and deployable workflowsDesign, build and maintain data pipelines for pricing inputs, including ingestion, transformation, feature preparation and quality checksBuild and automate workflows for elasticity, forecasting, optimisation and other pricing modelsDevelop and manage API integrations, including competitor pricing feeds and downstream systemsWork closely with pricing analysts to translate pricing logic into production-ready processesSupport model performance improvement through data preparation, feature engineering and data mining techniquesMonitor production processes and model performance over time, recommending corrective action where requiredEnsure pricing models are deployed correctly and operating as expected within customer-facing environmentsMaintain robust version control, testing, monitoring and technical documentation standardsEnsure all pricing activity aligns with FCA regulatory guidance and internal governance processesCollaborate closely with Pricing, Finance, Marketing, Insights and Compliance teams across the businessSkills required:Degree in a numerical subject or equivalent relevant qualificationStrong SQL skills and solid Python experience for model packaging and workflow automationExperience building and maintaining data pipelines and automated workflowsUnderstanding of APIs, data ingestion and system integrationsExperience with cloud-based data platforms such as SnowflakeFamiliarity with Git and version control best practicesExperience implementing data quality checks and monitoring production processesWorking knowledge of pricing concepts such as elasticity, forecasting, optimisation and margin analysisExperience supporting analytical teams with feature engineering, data preparation and model inputsBackground in analytics engineering, data engineering or a technical analytics environmentHands-on experience operationalising analytical models using SQL and/or PythonStrong analytical and problem-solving skills with a continuous improvement mindsetStrong stakeholder management and communication skills with the ability to build credibility and trust at all levelsCommercially minded with strong delivery focus and financial awarenessIf 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.Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website: www.datatech.org.ukTPBN1_UKTJ