Data Scientist – Optimizely Commerce Analytics
il y a 9 heures
£39000–£43000 par an
Temps plein
High Wycombe
Duties and Responsibilities: • Analyze e-commerce data from Optimizely Commerce platforms to identify trends, patterns, and opportunities., • Build and maintain dashboards and reports to track KPIs such as conversion rate, customer lifetime value (CLV), average order value (AOV), and funnel performance., • Perform exploratory data analysis (EDA) to support business questions and hypotheses., • Assist in designing, analyzing, and interpreting A/B tests and multivariate experiments within Optimizely., • Ensure statistical rigor in experiment evaluation and provide clear recommendations based on results., • Monitor ongoing experiments and flag anomalies or data inconsistencies., • Clean, preprocess, and validate structured and unstructured datasets., • Work with data engineers to ensure proper data collection, tracking, and storage., • Maintain data quality and integrity across multiple data sources., • Support development of basic predictive models (e.g., customer segmentation, churn prediction, recommendation systems)., • Apply statistical techniques and machine learning methods under guidance from senior team members., • Translate data findings into clear insights for non-technical stakeholders., • Collaborate with marketing, UX, and product teams to improve customer journeys and personalization strategies., • Document methodologies, processes, and findings. Qualifications/Skills/Experience: • Understanding of basic statistics (hypothesis testing, regression, probability)., • Familiarity with data visualization tools (e.g., Tableau, Power BI, or similar)., • Knowledge of web analytics tools (e.g., Google Analytics)., • Understanding of cloud platforms (e.g., AWS, GCP, or Azure) is a plus., • Strong problem-solving mindset and attention to detail., • Strong analytical and critical thinking abilities., • Effective communication skills—both written and verbal., • Relevant Bachelor’s or Master’s degree., • Ability to work collaboratively across cross-functional teams., • Good time management and organizational skills.
Sandeep S.Actif il y a 8 heures
