Negotiable
Outside
Remote
USA
Summary: The role of B2C Data Analyst involves supporting the final stages of a segmentation project for the Mercury campaign within the IKC business lane. The analyst will leverage existing data models to complete segmentation efforts and ensure actionable insights. This position requires strong technical skills in Python and statistical methods to refine segmentation results. Collaboration with team members is essential for achieving accurate and effective outcomes.
Key Responsibilities:
- Modify and maintain Python code for data segmentation models.
- Apply statistical methods, including cluster analysis (e.g., k-prototype), to refine segmentation results.
- Collaborate with team members to ensure accurate, effective, and actionable segmentation outcomes.
- Extract and manipulate data from Netezza (preferred) to support analysis and reporting.
Key Skills:
- Strong proficiency in Python, including ability to modify and troubleshoot existing code.
- Understanding of statistical methods, particularly clustering techniques.
- SQL knowledge.
- Experience connecting to Netezza for data extraction and manipulation.
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
B2C Data Analyst Segmentation Project
We are seeking a skilled B2C Data Analyst to support the final stages of a high-priority segmentation project for the Mercury campaign within the IKC business lane. The role focuses on leveraging existing data models to complete segmentation efforts and ensure actionable insights.
Key Responsibilities
- Modify and maintain Python code for data segmentation models.
- Apply statistical methods, including cluster analysis (e.g., k-prototype), to refine segmentation results.
- Collaborate with team members to ensure accurate, effective, and actionable segmentation outcomes.
- Extract and manipulate data from Netezza (preferred) to support analysis and reporting.
Required Qualifications
- Strong proficiency in Python, including ability to modify and troubleshoot existing code.
- Understanding of statistical methods, particularly clustering techniques.
- SQL knowledge.
- Experience connecting to Netezza for data extraction and manipulation.