Description

You will perform quantitative and qualitative data analysis using mathematical modeling and optimization methods to drive business strategy.

Responsibilities

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

Required Skills

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

Key Skills

Education

ANY GRADUATE