Analytics Senior Lead, Measurement

PMG, a global independent platform company engineered for impact, integrates business strategy, media, creative, and data within a single operating model powered by our proprietary operating system, Alli. With more than 1,000 employees, PMG partners with brands including Apple, Nike, Dropbox, Experian, Sephora, and Whole Foods. Our work has earned top industry honors, including Cannes Lions and Adweek’s Media Plan of the Year, and PMG has won 40+ workplace culture awards, including being the only company to rank among Ad Age’s Best Places to Work for 11 consecutive years.

At 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 understand the true effectiveness of marketing investments, uncover growth opportunities, and provide clarity that helps brands make confident, evidence-based decisions.

You'll collaborate with media strategists, data scientists, data engineers, and business leaders to develop sophisticated measurement strategies, evaluate marketing effectiveness, and translate complex analytical findings into actionable business recommendations. Whether it's designing incrementality experiments, evaluating media mix models, developing forecasting frameworks, or advising clients on measurement strategy, your expertise will help brands understand what's working, why, and where to invest next.

Beyond reporting, you'll have the opportunity to push the boundaries of marketing measurement, challenge conventional approaches to attribution and effectiveness, and explore emerging methodologies and AI-driven solutions. You'll play a key role in shaping measurement roadmaps, advancing PMG's analytical capabilities, and helping clients navigate an increasingly complex media and marketing landscape.

As a Senior Lead in Analytics, if you're passionate about applying rigorous analytical thinking to complex marketing challenges, influencing strategic decisions, and communicating insights that drive meaningful business impact, this is the place to make an impact.

• →Lead the development and execution of advanced marketing measurement strategies, translating complex client business questions into analytical frameworks, test designs, and actionable recommendations.
• →Design, evaluate, and interpret marketing effectiveness studies, including incrementality testing, GEO/matched-market experiments, causal inference, media mix modeling, brand lift, and other advanced measurement approaches.
• →Serve as a trusted, client-facing analytics partner, leading strategic discussions, developing measurement proposals, presenting findings, and translating technical analysis into clear recommendations for media investment and business growth.
• →Develop forecasting, scenario-planning, and analytical frameworks to evaluate marketing performance, identify growth opportunities, and inform decisions around budget allocation, audience strategy, and market prioritization.
• →Collaborate with cross-functional teams, including Media, Client Strategy, Data Science, and Engineering, to define measurement requirements, assess data readiness, guide analytical implementation, and ensure methodological rigor.
• →Synthesize complex datasets and analytical findings into compelling executive-ready presentations, clearly communicating business implications, methodological limitations, and recommended next steps.
• →Mentor and guide analysts in analytical problem-solving, measurement methodology, statistical reasoning, and the development of strategic, client-ready insights.
• →Stay ahead of emerging marketing measurement trends, methodologies, and technologies, contributing to PMG's thought leadership and advancing innovative approaches to marketing effectiveness.

• →6+ years of experience in analytics, marketing science, or marketing effectiveness, including significant experience applying advanced measurement methodologies to marketing and business decisions. Bachelor's degree or equivalent work experience required; master's degree in Analytics, Statistics, Economics, Marketing Science, or a related field preferred.
• →Deep expertise in marketing measurement and effectiveness, with demonstrated experience applying methodologies such as media mix modeling, causal inference, incrementality testing, GEO/matched-market experimentation, brand lift, and/or attribution modeling.
• →Strong understanding of experimental design and statistical inference, including the ability to evaluate measurement feasibility, define hypotheses and KPIs, assess treatment/control methodologies, interpret uncertainty, and communicate methodological strengths and limitations.
• →Proven ability to translate ambiguous business challenges into structured analytical approaches, selecting appropriate measurement methodologies and developing actionable recommendations that influence marketing strategy and investment decisions.
• →Strong client-facing communication and consulting skills, with demonstrated experience leading strategic discussions, developing measurement proposals, presenting complex analyses, and influencing senior business stakeholders.
• →Deep understanding of the digital marketing and media ecosystem, including how paid, owned, and earned media contribute to consumer behavior, brand outcomes, customer acquisition, retention, and broader business performance.
• →Experience developing forecasting, scenario-planning, or customer/conversion modeling approaches to support media investment decisions, growth planning, and business performance evaluation.
• →Strong technical fluency in SQL and analytical programming tools such as Python or R, with the ability to conduct, validate, or critically review advanced analytical work. Experience collaborating with technical teams to define data requirements and guide analytical implementation.
• →Experience working with complex marketing and business datasets, including media performance, web analytics, CRM/customer, geographic, and business-outcome data, with an understanding of data quality, measurement architecture, and analytical limitations.
• →Proven ability to build strong stakeholder relationships and lead cross-functional initiatives, partnering with media, strategy, data science, engineering, and client teams to develop and operationalize measurement roadmaps.
• →A commitment to curiosity and adaptability as a Continual Learner, staying at the forefront of marketing science and media innovation while prioritizing client success with a Customer-Focused mindset that seeks opportunities to deliver meaningful value.
• →A dedication to People-Focused leadership, fostering collaboration, innovation, and professional growth by leading by example and nurturing strong relationships that empower others to excel.