
Data Analyst Professional
7 days ago
We are seeking a skilled professional to contribute to our team. The ideal candidate will have expertise in SQL, Python, and Machine Learning and will be responsible for designing predictive models, uncovering actionable insights, and deploying scalable solutions.
">Key Responsibilities:
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- Model Development: Build, validate, and deploy machine learning models using Python and AWS SageMaker to drive next-best-action decisions.">
- Commercial Analytics: 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 Integration: 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.">
Qualifications:
">- ">
- Education: Bachelor's/Master's in Data Science, Computer Science, Statistics, or a related field.">
- Experience: 3-4 years in data science, with a focus on commercial/customer analytics.">
Technical Skills:
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- Proficiency in SQL and Python.">
- Hands-on experience with AWS SageMaker and cloud services.">
- Familiarity with ML frameworks and A/B testing methodologies.">
Analytical Mindset: Strong problem-solving skills with the ability to derive insights from ambiguous data.
">Communication: Ability to articulate technical concepts to business stakeholders.
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