Description

You will use mathematical modeling and optimization methods to perform quantitative and qualitative data analysis.

Responsibilities

• Build predictive models using data, testing them against out-of-sample results and verifying them in real-world applications.
• Gather and interpret diverse datasets to identify causal relationships, trigger points, and customer behavior predictions.
• Develop reports, charts, and visual aids to turn complex data into actionable marketing insights.
• Advise business partners on data patterns and relationships to recommend strategic directions or outcomes.
• Quantify the significance of data variance using statistical methods ranging from traditional to Big-Data applications.

Required Skills

• Advanced SQL skills.
• Expertise in handling large distributed datasets using Python, Shell Scripts, and Apache.
• Experience applying statistical methods and quantifying data variance.
• Knowledge of data mining and statistics concepts with real-world application experience.
• Proficiency in Tableau and Power BI.
• Strong technical writing and presentation skills for both technical and business audiences.
• Bachelor's degree or equivalent in Mathematics, Computer Science, or a closely related quantitative field.

Key Skills

Education

ANY GRADUATE