Responsibilities:
Campaign Performance Analysis: Analyze marketing and media campaign performance using key metrics such as impressions, clicks, conversions, and ROI to assess effectiveness and areas for improvement.
Data Collection & Management: Gather, clean, and process large datasets from various marketing platforms (e.g., Google Ads, Facebook, programmatic channels) to ensure accuracy and consistency in analysis.
Developing Attribution Models: Build and refine multi-touch attribution models to determine the contribution of different media channels and touchpoints to overall conversions and sales.
Predictive & Prescriptive Analytics: Use statistical and machine learning techniques to forecast future trends, customer behavior, and campaign outcomes, and recommend actionable strategies for optimization.
Running A/B and Multivariate Testing: Design and execute A/B tests and experiments to assess the impact of different media tactics, creative, and targeting strategies on performance.
Reporting & Dashboards: Create and maintain automated dashboards and reports that provide stakeholders with real-time insights into campaign performance, media efficiency, and audience engagement.
Collaborating with Cross-Functional Teams: Work closely with marketing, media, finance, and product teams to translate data insights into actionable strategies and align them with broader business goals.
Media Mix Modeling (MMM): Assist in the development and interpretation of Media Mix Models to determine the optimal allocation of marketing spend across various channels.
Advanced Audience Segmentation: Perform deep-dive analysis to identify key audience segments, optimize targeting, and improve media personalization strategies.
Staying Updated on Industry Trends: Continuously research emerging tools, technologies, and methodologies in analytics, marketing, and media to ensure the use of best practices and innovation in the analytics approach
Bachelor's Degree