Data Scientist Position:

Experience:

• 5-7 Years in Data-Focused Roles: Engagement in data engineering, analytics within the marketing sphere, or comparable disciplines.

SQL Expertise:

• Advanced SQL Manipulation: Proficient use of SQL to query and transform data from multiple repositories, including cloud environments and Teradata systems.
• Database Operations: Implementation of Join Functions and crafting of Stored Procedures.

Python Proficiency:

• Python Coding: Capable of writing Python scripts from the ground up, with an emphasis on table generation and process automation.
• Analyzing Text Data: Experienced in parsing and analyzing textual information.

Data Visualization:

• Tableau Proficiency: Utilizing Tableau to process and interpret large datasets, extracting key insights to inform strategic decisions.
• Data Trend Analysis: Analytical prowess in identifying trends and deriving meaningful information from extensive datasets.

ETL Expertise:

• Handling Voluminous Data: Experienced in ETL techniques for managing and processing large data collections.

Technical Environment Familiarity:

• Teradata & Unix: Knowledgeable in using Teradata and Unix for in-depth data analysis and storage solutions.
• Alteryx Utilization: Competent in employing Alteryx to automate and streamline varying business processes.

Marketing Insight:

• Targeting and Development: Involvement in customer targeting for marketing database creation, including SQL use and demographic analysis from various sources. A marketing background is desirable.

Communication Skills:

• Interdisciplinary Collaboration: Exceptional communicative abilities required for liaising with multiple teams across different organizational levels.

Preferred Qualifications:

• Data Modeling Expertise.
• Certifications: Accreditation in data analytics or related areas is considered an asset.

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