Director, Analytics And Data Strategy
By dentsu At Maryland, United States
Strong organizational skills – task prioritization, effective time management, meeting facilitation, conflict resolution, and risk identification/mitigation.
Document and drive data requirements to execute data-driven marketing programs (targeting, personalization, and relevance).
Experienced to discuss and guide the choice of analytical approaches to achieve objectives and outcomes.
Support development of new capabilities (AI, Emotion).
Experience with cloud-based big data platforms – e.g., Redshift, Big Query, Teradata.
Knowledge of the digital marketing ecosystem and fluency with common ad tech platforms and technologies.

Are you an experienced data analytics and special projects professional looking for an exciting new challenge? We are looking for a Data Analytics and Special Projects Director to join our team and lead our data-driven initiatives. You will be responsible for developing and executing strategies to maximize the value of our data, as well as leading special projects to drive innovation and growth. If you have a passion for data and a track record of success, we want to hear from you!

Overview:

The Data Analytics and Special Projects Director is responsible for leading the development and implementation of data-driven strategies and initiatives to improve organizational performance. This role requires a combination of technical and analytical skills, as well as the ability to lead and manage projects.

Detailed Job Description:

The Data Analytics and Special Projects Director will be responsible for leading the development and implementation of data-driven strategies and initiatives to improve organizational performance. This role requires a combination of technical and analytical skills, as well as the ability to lead and manage projects. The Director will be responsible for developing and executing data-driven strategies, leveraging data to identify opportunities for improvement, and driving the implementation of those strategies. The Director will also be responsible for leading special projects, such as developing new products or services, or launching new initiatives.

What is Data Analytics And Special Projects Director Job Skills Required?

• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• Ability to work independently and as part of a team
• Ability to manage multiple projects simultaneously
• Knowledge of data analysis techniques and tools
• Knowledge of database management systems
• Knowledge of project management principles and practices

What is Data Analytics And Special Projects Director Job Qualifications?

• Bachelor’s degree in a related field such as computer science, information systems, or business analytics
• 5+ years of experience in data analytics and/or project management
• Experience with data visualization and reporting tools
• Experience with database management systems
• Experience leading and managing projects

What is Data Analytics And Special Projects Director Job Knowledge?

• Knowledge of data analysis techniques and tools
• Knowledge of database management systems
• Knowledge of project management principles and practices
• Knowledge of data visualization and reporting tools

What is Data Analytics And Special Projects Director Job Experience?

• 5+ years of experience in data analytics and/or project management
• Experience with data visualization and reporting tools
• Experience with database management systems
• Experience leading and managing projects

What is Data Analytics And Special Projects Director Job Responsibilities?

• Develop and execute data-driven strategies to improve organizational performance
• Leverage data to identify opportunities for improvement
• Lead the implementation of data-driven strategies
• Lead special projects, such as developing new products or services, or launching new initiatives
• Manage multiple projects simultaneously
• Develop and maintain data-driven reports and dashboards
• Develop and maintain data models and databases
• Monitor and analyze data to identify trends and insights
• Collaborate with stakeholders to ensure data accuracy and integrity