Analytics Senior Lead
Listed on 2026-05-22
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IT/Tech
Data Analyst, Business Systems/ Tech Analyst, Data Science Manager, Data Mining
Named Ad Age Best Places to Work for 11 years in a row and Fast Company Best Workplaces for Innovators since 2022, PMG is a global independent marketing services and technology company that seeks to inspire people and brands that anything is possible. Driven by shared success, PMG leverages business strategy and transformation, creative, media, and insights—as well as its proprietary operating system, Alli—to deliver cutting-edge digital solutions and innovative media strategies.
Our team comprises over 900 employees globally, and our work for ambitious brands like Apple, Nike, Sephora, Experian, Therabody, Best Western Hotels & Resorts, Creed Fragrances, BNY, Intuit, CKE Restaurants, Travelex, and Whole Foods spans 85+ countries.
Who You Will Be Working WithAt PMG, our Analytics team is at the heart of turning data into strategic insights that fuel smarter marketing, media, and business decisions. We go beyond surface-level metrics to uncover trends, optimize performance, and provide clarity that helps brands connect with their audiences in more meaningful ways. You’ll collaborate with media strategists, data engineers, creative teams, and business leaders, using analytics to evaluate marketing effectiveness, refine campaign strategies, and drive business impact.
Whether it’s building dynamic dashboards, designing attribution models, conducting deep-dive data analysis, or leveraging predictive insights, your expertise will help brands make data-informed decisions with confidence. Beyond reporting, you’ll have the opportunity to push the boundaries of measurement, experiment with emerging analytics methodologies, and explore AI-driven solutions to enhance marketing performance. You’ll play a key role in testing new approaches, refining best practices, and shaping how brands define success in an ever‑evolving digital landscape.
At PMG, we don’t just analyze data—we use it to challenge assumptions, drive innovation, and shape the future of media and advertising.
- Own analytics delivery for high-priority accounts and partner with stakeholders to standardize measurement and drive campaign insights.
- Serve as analytics lead for one or more enterprise accounts or 4+ mid‑size accounts.
- Own ongoing stakeholder prioritization and analytics roadmaps by client or pod.
- Design and manage advanced dashboards and measurement solutions.
- Lead complex cross‑channel analyses and synthesize insights into business recommendations.
- Define success metrics and measurement strategy in partnership with Strategy teams.
- Translates client objectives and business questions into analytic frameworks and drives roadmap alignment.
- Independently lead experiments (A/B, geo‑holdouts) and interpret results.
- Support attribution or MMM work streams with data analysis and input prep.
- Mentor ICs on technical skills and marketing context.
- Serve as an escalation point for data issues or custom reporting requests.
- Standardize deliverables across teams and account for consistency.
- Present in client QBRs and strategic planning meetings.
- Contribute to internal training and analytics practice growth.
- Use AI, automation, and technology to elevate the quality and efficiency of work, streamline processes, and enable faster, more informed decision‑making in your role.
- Hands‑on experience with data warehousing solutions such as Amazon Redshift, Big Query and Snowflake to implement and manage ETL pipelines (dbt) to streamline data workflows and ensure data integrity, accuracy and comprehensiveness.
- Expertise in SQL for complex data manipulation, optimization, and deriving proactive business insights from large‑scale datasets.
- Experience working with ad tech and digital marketing data, with a deep understanding of how data drives decision‑making across channels.
- Strong working knowledge of marketing measurement frameworks, including media mix modeling, lift testing, and incrementality testing.
- Advanced proficiency in using visualization platforms such as Tableau, Power BI, or Looker to build scalable, self‑serve dashboards and performance reports.
- Strong working knowledge of Python or R to conduct advanced analysis, automate…
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