Description

Lead asset analytics and data science initiatives to drive profitability through actionable insights.

Responsibilities

• Develop predictive models to optimize customer experience, revenue generation, and ad targeting.
• Perform data reprocessing, feature engineering, and statistical analysis on large, complex datasets.
• Monitor model performance and data accuracy using automated processes and tools.
• Build automated dashboards and reports to empower product and marketing teams.
• Define pricing models for digital value propositions to ensure portfolio profitability.

Required Skills

• 5-10 years of experience in analytics and data science.
• Expertise in model development using Python.
• Proficiency in querying databases with SQL, R, and Python.
• Strong background in statistical analysis and machine learning algorithms.
• Experience working with large datasets and data warehouses.
• Hands-on experience with PowerBI for data visualization.
• Ability to solve unstructured and complex business problems.
• Strong project management skills with the ability to handle multiple priorities.

Preferred Skills

• Proven ability to influence stakeholders across an organization.

Key Skills

Education

Any Graduate