CRM Data Analyst

Key Responsibilities:

Collaborate with Stakeholders: Provide support and consultation to other departments on data utilization and reporting strategies to optimize CRM activities.
Conduct Data Analysis (Including Advanced Analytics): Perform data analyses, including advanced techniques such as predictive and prescriptive analytics, to generate valuable business insights.
Implement CRM Data Analysis Framework: Build and deploy a comprehensive data analysis framework for CRM, ensuring data reliability and usability.
Develop Reports/Dashboards: Design, implement, and manage automated, accurate, and timely reports and dashboards to support data- driven decision- making.

Professional Requirements:

Programming Skills: Proficiency in one or more programming languages, such as Python, Java, or R, with the ability to create scripts and tools for data analysis automation.
Reporting and Data Modeling Proficiency: Strong understanding of data modeling and the ability to design CRM- based reports and dashboards using tools like Tableau and Power BI.
Data Science Model Implementation: Experience in training, evaluating, and deploying Data Science models. Proficient in using Machine Learning libraries such as Scikit- learn and TensorFlow.
Customer Data Analysis Experience: Proven experience in customer data analysis and CRM strategies to support business decision- making.

Preferred Qualifications:

Cloud Experience (Preferred): Experience working with cloud solutions like AWS, Google Cloud, or Azure is a plus.
Professional Certifications (Preferred): Certifications related to Tableau or Data Engineering, such as Tableau Desktop Specialist, Tableau Server Certified Associate, or Google Cloud Professional Data Engineer
CRM System Knowledge (Preferred): In- depth understanding of CRM systems and data management processes within these systems is an advantage.

Cập nhật gần nhất lúc: 2024-11-30 14:55:03