
Senior Business Intelligence Analyst
1 week ago
We are seeking a skilled data scientist to drive next-best-action decisions.
Key Responsibilities:- Data Modelling: Build, validate and deploy machine learning models using Python and AWS SageMaker.
- Commercial Analysis: Analyze customer segmentation, lifetime value (CLV), and campaign performance to identify high-impact opportunities.
- Cross-functional Collaboration: Partner with marketing, sales, and product teams to align models with business objectives and operational workflows.
- Cloud Optimization: Optimize model deployment on AWS, ensuring scalability, monitoring, and performance tuning.
- Insight Communication: Translate technical outcomes into actionable recommendations for non-technical stakeholders through visualizations and presentations.
- Continuous Improvement: Stay updated on advancements in AI/ML, cloud technologies, and commercial analytics trends.
- Bachelor's/Master's in Data Science, Computer Science, Statistics, or a related field.
- 3-4 years of experience in data science, with a focus on commercial/customer analytics.
Technical Skills:
- Proficiency in SQL and Python, including complex queries and optimization.
- Hands-on experience with AWS SageMaker and cloud services.
- Familiarity with ML frameworks and A/B testing methodologies.
A strong analytical mindset and ability to derive insights from ambiguous data is required. Effective communication skills are also essential for articulating technical concepts to business stakeholders.
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