
Sales Analytics Lead
6 days ago
Key Role: Manager - Data Science
We are seeking a highly skilled and experienced data scientist to lead our sales analytics initiatives. As a seasoned professional in this field, you will play a pivotal role in driving business growth through advanced analytics and machine learning techniques.
This position requires a strong background in data analysis, machine learning, and predictive modeling. You will work closely with senior leadership to develop and implement cutting-edge analytics solutions that drive business results.
- Data Analysis and Modeling: Perform statistical analysis and develop predictive models to identify trends and opportunities in sales channels.
- Business Partnership: Collaborate with channel teams to understand business needs and identify areas for improvement using analytics.
- Project Execution: Execute analytics projects from data analysis to implementation, ensuring timely delivery and quality output.
- Model Governance: Ensure compliance with model governance guidelines and best practices.
Candidate Requirements:
- Experience in executing complex data science and predictive modeling projects, preferably in financial services or sales and marketing.
- Educational Background: Graduate/Post-Graduate degree in Engineering, Statistics, Economics, or related fields.
- Business Acumen: Proven ability to work with business teams to identify analytics opportunities and present results.
- Technical Skills: Proficiency in Python (scikit-learn, pandas) and SQL, with experience in ML techniques like GLM, Regression, Clustering, Decision Trees, and Boosting.
Benefits:
This role offers a unique opportunity to join a dynamic team and contribute to the success of our organization. As a data scientist, you will have the chance to work on high-impact projects, collaborate with cross-functional teams, and drive business outcomes through advanced analytics.
Others:
Please note that we are an equal opportunities employer and welcome applications from diverse candidates. We offer a competitive salary and benefits package, as well as opportunities for professional growth and development.
Keyword: Data Scientist
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