Enterprise Data Specialist

AI Overview

Key responsibilities

Core Duties And Responsibilities

• Data Governance and Management: Establish data governance frameworks, policies, and workflows to ensure data consistency, security, and quality across the enterprise.
• Data Quality and Cleaning : Cleanse, validate, and standardize data from multiple sources to eliminate errors and ensure reliability.
• Data Modeling and Architecture : Design, develop, and maintain large-scale databases, data warehouses, and data lakes.
• Data Analysis and Reporting : Analyze complex datasets to identify trends, patterns, and insights, transforming them into actionable reports and visualizations (e.g., using SQL, Python, or BI tools).
• Data Integration and ETL : Implement ETL (Extract, Transform, Load) processes to integrate data from diverse sources like CRMs and ERPs.
• Security and Compliance : Establish data access controls, authentication policies, and ensure compliance with regulatory standards.
• Cross-Functional Collaboration : Work with stakeholders to define requirements and provide data support to business departments.

Typical Qualifications Skills

• Technical Expertise: Proficiency in SQL, data modeling tools, data warehousing concepts, and data visualization software.
• Analytical Skills: Strong ability to analyze, interpret, and solve complex data-related problems.
• Knowledge of Data Privacy: Understanding of data protection regulations (e.g., GDPR) and best practices.
• This job is provided by Shine.com