Analytics Senior Lead

PMG•New York, NY

1d•Hybrid

About The Position

PMG is a global independent platform company engineered for impact, integrating business strategy, media, creative, and data within a single operating system 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, 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. As a Senior Lead in Analytics, if you’re passionate about turning complex data into actionable insights, solving real-world marketing challenges with analytics, and helping brands make smarter, data-driven decisions, this is the place to make an impact.

Requirements

5+ years of experience in analytics (3+ years of which must be marketing analytics related), with a bachelor’s degree or equivalent work experience.
Hands-on experience with data warehousing solutions such as Amazon Redshift, BigQuery 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 workflows, and support statistical modeling when needed.
Proven ability to build strong stakeholder relationships in a fast paced environment while leading strategic analytics projects, especially measurement frameworks, and synthesize insights into clear recommendations for individuals at all tiers of the organization.
Partner across functions—including product, media, engineering, analytics, and strategy—to influence KPIs, business planning, and campaign optimization.
A proactive approach to improving data quality, consistency, and accessibility across teams and tools.
A commitment to curiosity and adaptability as a Continual Learner, staying at the forefront of 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

Masters degree in a subdomain of Analytics or Data Science preferred.
Background in financial services a plus
Experience with Data Clean Rooms is a plus

Responsibilities

From the intake process to client delivery, manage the analytics request process ensuring an output of high quality, on-time deliverables.
Support the development and maintenance of custom analytics solutions, from data sourcing to SQL to data visualization, while managing requests and troubleshooting issues.
Create clear, comprehensive media reporting tying performance to customer actions and business KPIs for technical and non-technical audiences, thereby empowering teams and clients to act with confidence.
Collaborate with cross-functional teams—including Media, Client Strategy, Data Science, Engineering—to design, implement and validate measurement strategies tailored to client objectives.
Mentor others within data visualization and data engineering, fostering their growth while holding them accountable for delivering high-quality work.
Stay ahead marketing measurement trends, tools, and best practices, contributing to PMG’s thought leadership and driving 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.