Growth Analyst — Marketing Analytics Tools

[Description] Learn advanced techniques for data visualization and report design in Looker Studio (formerly Data Studio). Focus on creating impactful dashboards that tell a compelling story with marketing data. Understand how to connect to various data sources and blend data for richer insights. - Resources/Activities: - Expected Outcomes: Ability to build sophisticated and insightful dashboards in Looker Studio, connect to various data sources, and effectively communicate findings.

[Description] Explore various attribution models (e.g., first-click, last-click, linear, time decay, data-driven) and their impact on campaign performance analysis. Learn to implement and interpret attribution reports in Google Analytics, Looker Studio, and other tools. Focus on conversion optimization strategies. - Resources/Activities: - Expected Outcomes: Understanding of different attribution models, ability to implement attribution reporting, and the ability to apply conversion optimization techniques using A/B testing and other methods.

[Description] Learn the fundamentals of SQL (Structured Query Language) and apply it to marketing data analysis within Google BigQuery. Focus on querying data, creating reports, and deriving insights from large datasets. - Resources/Activities: - Expected Outcomes: Foundational SQL skills, ability to query large marketing datasets in BigQuery, and the capability to generate actionable insights.

[Description] Focus on analyzing and optimizing paid media campaigns across various platforms, including Google Ads, Facebook Ads, and other advertising networks. Explore advanced metrics, bidding strategies, and performance reporting. - Resources/Activities: - Expected Outcomes: Ability to analyze paid media campaign performance, identify optimization opportunities, and implement strategies to improve ROI.

[Description] Explore marketing automation platforms and their role in driving growth. Deep dive into CRM integration and how to leverage data from various sources to optimize marketing efforts. - Resources/Activities: - Expected Outcomes: Understanding of marketing automation principles, proficiency in a marketing automation platform, and the ability to integrate marketing efforts with CRM systems.

[Description] Apply acquired skills to solve real-world marketing challenges. Explore the basics of predictive modeling using Python or R for marketing applications such as customer lifetime value (CLTV) prediction, churn prediction, or campaign performance forecasting. - Resources/Activities: - Expected Outcomes: Ability to perform advanced marketing data analysis, solve real-world problems, and apply the basics of predictive modeling. Project documentation that can be used as a portfolio piece.