Marketing Data Analyst III

Job not on LinkedIn

🔥 6 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

📊 Marketing Analyst

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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PMI

WebsiteLinkedInAll Job Openings

1 - 1 employees

📚 Education

🤝 Non-profit

Education • Non-profit

PMI is the Project Management Institute, a global nonprofit professional association that sets standards, provides education and credentials, and supports the practice of project and program management. PMI offers widely recognized certifications (PMP, CAPM, PMI-ACP, PMI-CPMAI, and others), publishes standards and guides such as the PMBOK Guide, runs training, events, research and thought leadership, and provides digital tools and enterprise solutions (e. g. , PMI Infinity) and membership services to a community of project professionals (noted as more than 800,000 members).

📋 Description

• Deliver recurring and ad hoc paid media performance reporting at global and regional levels • Apply and maintain paid media metrics including CAC, ROAS, CPA, CPM, CTR, and conversion rate • Analyze campaign, audience, creative, channel, and geography-level performance across Google Ads, Meta, LinkedIn, and programmatic • Recommend budget and optimization changes • Support and analyze incrementality tests, holdouts, and structured experiments, reporting results with statistical confidence • Reconcile agency and platform performance against PMI first-party and warehouse data, identifying and explaining variance • Maintain UTM governance and validate conversion tracking for paid campaigns • Contribute to attribution analysis across paid and non-paid channels • Support cross-channel and funnel reporting connecting paid media to downstream conversion, customer, and product performance • Support forecasting, propensity, and media mix modeling through data preparation, analysis, and interpretation • Partner with marketing stakeholders, Data Engineering, and agency teams to translate analysis into recommendations • Use SQL and Snowflake for data extraction, transformation, and analysis • Use AI tools to accelerate analysis, quality assurance, and reporting, validating AI-generated output against source data • Follow data governance and stewardship practices and contribute paid media metric definitions to PMI's marketing semantic layer • Produce recurring paid media reports, automated dashboards, incrementality results, reconciliations, and accurate campaign tracking and attribution data

🎯 Requirements

• Bachelor's degree in business, marketing, analytics, statistics, economics, or a related field; advanced degree preferred • Minimum 7 years of experience in analytics, business intelligence, or performance reporting, with significant time spent on paid media or digital marketing performance • Hands-on experience analyzing data from Google Ads and Meta Ads required • LinkedIn Ads and programmatic experience preferred • Experience analyzing marketing tests or experiments and interpreting results • Exposure to forecasting or modeling work preferred • Experience with attribution models and tools like Rockerbox, Northbeam • Strong SQL and working proficiency with Snowflake for data querying, transformation, and analysis • Working knowledge of paid media platforms and their reporting, including Google Ads, Meta Ads Manager, and LinkedIn Campaign Manager • Solid understanding of campaign analytics, attribution methods, conversion tracking, and UTM governance • Familiarity with statistical concepts applied to marketing, including significance testing, cohort analysis, and lifetime value • Working proficiency in Python or R preferred • Comfortable using AI tools in analytical work, including validating output before it informs a business decision • Strong analytical and problem-solving skills • Strong communication and collaboration skills to work effectively with global and regional teams, and to present findings to non-technical stakeholders • Proficiency in English • Possible travel up to 10%

🏖️ Benefits

• Possible travel up to 10%