Responsibilities

• Build and maintain dashboards that track ad spend, conversion volume, cost per conversion, and digital marketing KPIs across multiple channels.
• Connect advertising platform data, CRM data, and other client source data through API integrations and reporting tools.
• Establish first-touch and last-touch attribution models, with longer-term support for multi-touch attribution.
• Prepare monthly and ad-hoc performance reports for client stakeholders by media channel, geography, and program area
• Build automated workflows that pulls data into usable reporting systems.
• Deliver regular competitive intelligence reports with insights and recommended action items.
• Support the marketing-side administration of CRM workflows, such as tracking leads, sources, and conversions, as well as automation logic.
• Maintain documentation for integrations and reporting processes.
• This role is critical to helping marketing stakeholders understand their channels’ performance on a day-to-day basis as well as comparative channel performance via attribution modeling and cohort analyses.
• This Marketing Intelligence Analyst will help round out our data and analytics function by leveraging a number of data sources and multiple data practices from modeling to dashboarding to ensure data clarity, consistent tracking, and actionable insights are found.

Requirements

• A successful candidate is one who can clearly understand business goals, shows resilience to data problems in a fast-paced environment, and can synthesize analyses into compelling narratives that drive decisions.
• Technical (with Marketing and Attribution Data): You are an expert with web analytics and marketing data and have worked with attribution models and databases in the past.
• Experience using integrations, automation tools, or lightweight technical solutions to connect systems and improve workflow efficiency
• Proficient in SQL and relational databases, with the ability to independently query, validate, and interpret complex datasets.
• Experience being able to create end-to-end data pipelines and apply basic ETL logic.
• You must have expertise in the following: GA4, Google Ads, and paid social media, including but not limited to Meta Ads, LinkedIn Ads, TikTok Ads, and Snapchat Ads, and be able to translate these skills to other advertising channels like Spotify Ads, Hulu Ads, etc.
• Data Native: You have 2+ years’ experience with dashboard and data visualization creation with a proven track record assuming ownership, moving quickly to implement ideas, and delivering results and in a fast-paced environment.
• You have a deep knowledge of data platforms and analytics tools.
• Critical Analytical Thinker: You are comfortable and familiar with collecting and analyzing internal and external data.
• With a data-driven mindset, you pinpoint and articulate problem areas and are comfortable in an environment of change and improvement.

Preferred

• Proficiency in Python or any general-purpose programming language
• Managing cloud services, preferably on the Google Cloud Platform
• Experience with containerization using Docker and/or Kubernetes
• Experience with Looker or Google Data Studio