Analytics Principal, Media & Marketing

PMG•Dallas, TX

About The Position

PMG is a global independent platform company engineered for impact, integrating 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 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, data scientists, creative teams, and business leaders, using analytics to evaluate marketing effectiveness, refine campaign strategies, and drive business impact. Whether it’s building scalable analytics solutions, developing measurement frameworks, conducting deep-dive analysis, or translating complex data into strategic recommendations, your expertise will help brands make data-informed decisions with confidence. Beyond reporting, you’ll have the opportunity to advance how PMG approaches measurement, experiment with emerging analytics methodologies, and explore AI-driven solutions that enhance marketing performance. You’ll play a key role in developing best practices, solving complex measurement challenges, and shaping how clients and internal teams define and evaluate success in an 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. As a Principal in Analytics, if you’re passionate about solving complex marketing challenges through data, influencing measurement strategy, and turning sophisticated analysis into clear business recommendations, this is the place to make an impact.

Requirements

8+ years of experience in analytics, including significant experience in marketing or media analytics, with a bachelor’s degree or equivalent work experience.
Deep experience working with marketing, media, and advertising datasets and translating complex data into strategic business insights.
Advanced expertise in SQL for complex data manipulation, optimization, troubleshooting, and deriving proactive insights from large-scale datasets.
Strong knowledge of ad tech and digital marketing ecosystems, with an understanding of how data and measurement inform decision-making across channels.
Deep working knowledge of marketing measurement frameworks and methodologies, including media mix modeling, lift testing, incrementality testing, attribution, and experimental design.
Advanced proficiency with visualization platforms such as Tableau, Power BI, or Looker, with experience developing scalable dashboards, self-service reporting, and executive-level data narratives.
Strong working knowledge of Python or R for advanced analysis, workflow automation, statistical analysis, and modeling.
Proven ability to lead complex analytics and measurement initiatives, translating ambiguous business questions into structured analytical approaches and actionable recommendations.
Strong stakeholder management and consulting skills, with the ability to influence technical and non-technical audiences across multiple levels of an organization.
Experience partnering across functions—including Product, Media, Engineering, Data Science, Analytics, and Strategy—to influence KPIs, business planning, measurement strategy, and campaign optimization.
A proactive approach to improving data quality, consistency, accessibility, and analytical processes across teams, clients, and technology platforms.
Demonstrated ability to mentor and provide technical and strategic guidance to others while maintaining accountability for high-quality analytical work.
A commitment to curiosity and adaptability as a Continual Learner, staying at the forefront of analytics, measurement, 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.

Nice To Haves

A master’s degree in Analytics, Data Science, or a related discipline is preferred.

Responsibilities

Lead complex analytics engagements from intake through client delivery, ensuring high-quality, timely outputs that translate data into actionable business recommendations.
Design, develop, and oversee scalable analytics solutions spanning data sourcing, SQL, data visualization, reporting, and advanced measurement.
Develop comprehensive media reporting frameworks that connect marketing performance to customer actions and business KPIs, enabling technical and non-technical stakeholders to make informed decisions.
Partner with Media, Client Strategy, Data Science, Engineering, and other cross-functional teams to design, implement, and validate measurement strategies aligned with client objectives.
Serve as a strategic analytics partner to clients and internal stakeholders, translating complex business questions into clear analytical approaches, insights, and recommendations.
Apply advanced marketing measurement methodologies, including media mix modeling, lift testing, incrementality testing, and other experimental approaches, to evaluate marketing effectiveness and inform investment decisions.
Use SQL and large-scale marketing datasets to identify trends, diagnose performance drivers, and uncover proactive opportunities for optimization and growth.
Guide the development of scalable dashboards, reporting solutions, and self-service analytics tools that improve the accessibility, consistency, and usability of data.
Leverage Python, R, automation, and emerging technologies where appropriate to improve analytical workflows, conduct advanced analysis, and support statistical modeling.
Establish and refine analytics best practices, measurement frameworks, taxonomy, and processes that improve consistency and quality across clients and teams.
Proactively identify and resolve complex data quality, measurement, and reporting challenges while partnering with technical teams to develop sustainable solutions.
Mentor and provide technical guidance to analytics team members across data visualization, data engineering, measurement, and analytical problem-solving, fostering growth and accountability for high-quality work.
Influence KPIs, business planning, campaign optimization, and measurement priorities by connecting analytical findings to broader client and business objectives.
Lead test-and-learn initiatives, evaluate results, and translate findings into recommendations that support continuous improvement across media strategies.
Stay ahead of evolving marketing measurement methodologies, analytics technologies, AI capabilities, and industry best practices, contributing to PMG’s thought leadership and continued innovation.

Benefits

Professional Development: Take advantage of our learning and development programs, mentorship opportunities, and career advancement support.
Generous Time Off: Enjoy generous paid time off and holiday allowances to recharge and spend time with loved ones.
Parental Leave: We provide paid parental leave to support your family during important life events.
Retirement & Pension Plans: Plan for your future with competitive retirement or pension programs, including contribution matching.
Fertility and Family Support: Access fertility benefits for all team members and their spouses.
Healthcare: Coverage and support for everyday medical expenses and routine care, tailored by geography.
Pet Insurance: Protect your pet's health and your finances.
Lifestyle Spending Accounts: Enjoy 100% company-funded accounts to promote healthy habits and well-being.
Commuter Benefits: Access support for travel and commuting needs, where available.
Annual Bonus: All employees are eligible for an annual bonus.
Volunteering Opportunities: Receive 8 give-back hours to volunteer in your local communities.
AI Enterprise License: Access AI Enterprise accounts and participate in weekly AI training sessions to empower and ensure AI safety.