Role Overview:
Responsible for analysing business requirements and designing data-driven systems and analytical solutions to support pricing strategies, marketing optimisation, and profitability within an ecommerce retail environment. The role bridges business needs with technical solutions using data analytics, machine learning, and system design principles, with a strong focus on revenue growth and P&L performance.
Key Responsibilities:
- Gather and analyse business requirements related to product pricing, discount strategies, marketing performance, and overall profitability
- Design and implement data-driven systems and analytical frameworks to optimise pricing, promotional strategies, and revenue generation
- Apply machine learning and text mining techniques to large datasets including customer behaviour, competitor pricing, and market trends
- Translate business requirements into technical specifications for data models, reporting systems, and analytics workflows
- Evaluate and enhance existing IT systems and data processes to improve efficiency, scalability, and decision-making
- Perform predictive modelling and data analysis to support pricing, offers, and sales forecasting
- Analyse digital marketing and social media data, including campaign performance, customer segmentation, and sentiment analysis
- Support marketing strategy optimisation through data insights, improving customer acquisition and retention
- Contribute to P&L analysis, including revenue tracking, margin optimisation, and cost-performance evaluation
- Provide data-driven insights to improve profitability, pricing margins, and return on marketing investment (ROMI)
- Collaborate with cross-functional teams to design and deliver integrated business and IT solutions
- Ensure data governance, quality, and GDPR compliance
- Develop dashboards and reports to support strategic, financial, and operational decision-making
Tools & Technologies:
- Programming: Python, SQL, R
- Techniques: Machine Learning, Text Mining, Predictive Modelling
- Platforms: AWS Cloud
- Tools: Microsoft Excel, Data Visualisation tools
- Methodologies: Agile / Project Management
Education & Experience Requirements:
- Master’s degree in Data Science, Computer Science, Information Systems, or a related field
- Minimum 8 years of professional experience in data analysis, business analysis, or data-driven system design
- Proven experience in handling business data, analytics projects, and delivering data-driven insights
- Demonstrated experience in marketing analytics, pricing strategy, and P&L management
- Experience in ecommerce or retail sector (preferred)
Ideal Candidate / Personal Requirements:
Strong analytical mindset with the ability to translate business and financial goals into technical solutions
Experience working across data analytics, marketing performance, and financial (P&L) analysis
Proficiency in machine learning, data modelling, and large-scale data processing
Ability to generate insights that directly impact revenue growth and profitability
Strong understanding of pricing strategy, margin optimisation, and marketing ROI
Excellent communication skills to present insights to technical and non-technical stakeholders
Experience in E-commerce, digital marketing, and customer analytics
Strong problem-solving skills and ability to work in a fast-paced, data-driven environment
Knowledge of data governance and regulatory compliance (e.g., GDPR)
Pay: £35,420.00-£65,982.51 per year
Benefits:
- Casual dress
- Company pension
- Employee discount
- Free parking
Education:
Experience:
- Machine learning: 2 years (preferred)
Licence/Certification:
- Certified Entry-level Python Programmer (PCEP) (preferred)
Work Location: In person
