Marketing Data Analyst III

This is a fully remote position, open to applicants in United States.

📋 Description

• Provide regular and on-demand paid media performance analytics at both global and regional scales.

• Implement and uphold paid media metrics such as CAC, ROAS, CPA, CPM, CTR, and conversion rates.

• Evaluate performance across campaigns, audiences, creatives, channels, and geographies on platforms like Google Ads, Meta, LinkedIn, and programmatic advertising.

• Suggest adjustments to budgets and optimizations based on performance insights.

• Assist in analyzing incrementality tests, holdouts, and structured experiments, presenting outcomes with statistical confidence.

• Reconcile performance data from agencies and platforms against PMI first-party and warehouse data, identifying and clarifying discrepancies.

• Oversee UTM governance and ensure conversion tracking accuracy for paid campaigns.

• Contribute to the analysis of attribution across paid and unpaid channels.

• Facilitate cross-channel and funnel reporting that connects paid media efforts to downstream conversion, customer, and product outcomes.

• Aid in forecasting, propensity modeling, and media mix analysis through data preparation, evaluation, and interpretation.

• Collaborate with marketing stakeholders, Data Engineering, and agency teams to convert analysis into actionable recommendations.

• Utilize SQL and Snowflake for data extraction, transformation, and analysis tasks.

• Employ AI tools to enhance analysis, quality assurance, and reporting, validating AI-generated results against source data.

• Adhere to data governance and stewardship principles, contributing definitions for paid media metrics to PMI's marketing semantic framework.

• Generate regular paid media reports, automated dashboards, incrementality findings, reconciliations, and precise campaign tracking and attribution data.

⛳️ Requirements

• Bachelor's degree in business, marketing, analytics, statistics, economics, or a related discipline; advanced degree is preferred.

• At least 7 years of experience in analytics, business intelligence, or performance reporting, with a significant focus on paid media or digital marketing performance.

• Required hands-on experience in analyzing data from Google Ads and Meta Ads.

• Preferred experience with LinkedIn Ads and programmatic advertising.

• Demonstrated experience in analyzing marketing tests or experiments and interpreting their results.

• Familiarity with forecasting or modeling tasks is preferred.

• Experience with attribution models and tools such as Rockerbox and Northbeam.

• Strong SQL skills and working knowledge of Snowflake for data querying, transformation, and analysis.

• Good understanding of paid media platforms and their reporting capabilities, including Google Ads, Meta Ads Manager, and LinkedIn Campaign Manager.

• Solid grasp of campaign analytics, attribution methodologies, conversion tracking, and UTM governance.

• Familiarity with statistical concepts relevant to marketing, such as significance testing, cohort analysis, and lifetime value assessment.

• Working knowledge of Python or R is preferred.

• Comfortable utilizing AI tools in analytical tasks, including validating outputs prior to informing business decisions.

• Strong analytical and problem-solving capabilities.

• Excellent communication and collaboration skills necessary for effective interaction with global and regional teams, as well as for presenting findings to non-technical stakeholders.

• Proficient in English.

• Willingness to travel up to 10% of the time.

🏝️ Benefits

• Possible travel up to 10%.