ADVANCED DATA ANALYSIS:
- Utilize strong SQL skills to query and manipulate data from various sources, ensuring data integrity and accuracy.
- Utilize Python and common data science libraries (e.g., Pandas, NumPy, Scikit-learn) to conduct advanced data analysis.
- Develop and implement machine-learning models for propensity modeling, viewer measurement, and CRM data analysis.
VISUALIZATION AND REPORTING:
- Produce compelling visualizations in Tableau to communicate data-driven insights effectively.
- Collaborate with cross-functional teams to create dashboards and reports that support decision-making processes.
CLIENT PROPOSAL DEVELOPMENT:
- Work closely with Account Executives and clients to understand their needs and develop client proposals based on in-depth research and data analysis.
RELATIONSHIP BUILDING:
- Establish and nurture key relationships with Analytics heads at advertising agencies, data partners, and internal divisions.
- Collaborate with industry players to stay abreast of the latest developments in data science and media analytics.
CLOUD-BASED DEVELOPMENT:
- Architect and develop innovative advertising products using AWS services (S3, Athena, Lambdas, StepFunctions).
- Leverage AWS cloud infrastructure for scalable and efficient data processing and model deployment.
CONTINUOUS LEARNING:
- Stay informed about the latest advancements in Python, Tableau, and AWS, and integrate new technologies to enhance the team's capabilities.
QUALIFICATIONS:
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.
- Strong proficiency in Python and experience with common data science libraries.
- Demonstrated expertise in Tableau for data visualization.
- Hands-on experience with AWS cloud infrastructure.
- Proven track record of developing and implementing machine-learning models.
- Excellent communication and collaboration skills.