Data Analyst

5 days ago

Brighton, United Kingdom Harnham Full time
About the Role

We are seeking a highly skilled Data Scientist to join our team at Harnham, where you will play a key role in developing and deploying advanced analytics models to enhance pricing strategies and improve customer value.

Key Responsibilities
  • Model Development: Develop and enhance pricing models, including demand forecasting, price elasticity assessments, recommendation systems, and revenue optimization strategies, under the guidance of the data manager.
  • Segmentation Improvement: Contribute to creating and refining customer and product segmentations to tailor pricing strategies and recommendations effectively across the business.
  • Model Deployment: Deploy pricing and recommendation models into production for utilization by cross-functional analytical teams.
  • Behavioral Analytics: Deliver complex descriptive and predictive analytics to understand customer response to pricing and recommendation strategies.
  • External Awareness: Stay informed about analytics trends in retail pricing, recommendation systems, and competitor technologies to bring valuable insights to the organization.
  • Stakeholder Collaboration: Build relationships with stakeholders, translating their pricing and recommendation objectives into impactful data science products.
Requirements
  • Programming and SQL Skills: Proficient in Python or R with strong SQL abilities, particularly in data manipulation for pricing and recommendation analysis.
  • Analytical Expertise: Excellent analytical and statistical skills, with hands-on experience in predictive modeling, pricing strategies, recommendation systems, and time series analysis.
  • Cloud Platform Experience: Experience with cloud-based analytical platforms like Databricks, Snowflake, and Google BigQuery, particularly in pricing optimization and recommendation contexts.
  • Commitment to Accuracy: Strong focus on accuracy, attention to detail, and rigor in analysis, ensuring reliable pricing and recommendation insights.
  • Data Governance and Quality: Understanding of the importance of data governance and maintaining high data quality standards in pricing and recommendation models.
  • Curiosity and Commercial Insight: Curious about pricing and recommendation challenges, with the ability to extract maximum value from data science through effective storytelling, visual support, and efficient workload management using Jira/Confluence.
What We Offer
  • Salary: Up to £55,000.
  • Hybrid Working Model: Flexible working arrangements to suit your needs.
  • Bonus: Opportunities for bonus payments based on performance.

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