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Posted 1h agoMexico City, Mexico

Analytics Senior Associate

JuniorOn-site (Mexico City)Salary undisclosed
Required Skills
PythonSQLSnowflake
Job Description

We are PMG

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.

Who You Will Be Working With

At PMG, our Analytics team is at the heart of turning data into insights that fuel smarter marketing, media, and business decisions. We go beyond surface-level metrics to help teams understand performance, improve measurement, and ensure the data and tools behind those decisions are accurate, reliable, and actionable.

You’ll collaborate with media strategists, analytics leaders, data engineers, data scientists, and client teams to support the analytics data, reporting, measurement workflows, and technology that power our work. You’ll also work closely with PMG’s Alli platform, helping ensure its analytics capabilities and underlying data remain accurate, reliable, and usable for both internal teams and customers.

As an Analytics Senior Associate, you’ll have the opportunity to strengthen your technical and analytical skills while solving real-world marketing challenges. From maintaining dashboards and analytics logic to troubleshooting data issues and supporting measurement initiatives, your work will help teams confidently use data to make better decisions.

What You Will Be Doing

  • Support internal teams and customers by ensuring analytics data, reporting, measurement workflows, and Alli platform capabilities remain accurate, reliable, and usable.

  • Build, maintain, and improve analytics logic, dashboards, reports, trackers, taxonomy, automation, workflows, and platform capabilities.

  • Support the development and maintenance of analytics solutions across data sourcing, transformation, validation, and visualization.

  • Build and maintain dbt tests and other data-quality checks to identify issues and improve the accuracy, consistency, and reliability of analytics data.

  • Monitor data sources and resolve freshness, quality, and availability issues, including completing backfills and reloads when needed.

  • Investigate and troubleshoot reporting, data, platform, and performance issues, remediate alerts, and coordinate with the appropriate teams to drive resolution.

  • Prepare and deliver accurate data for marketing measurement initiatives, including media mix modeling (MMM), LiftLab, lift studies, and other measurement workflows.

  • Create and maintain clear media reporting that connects campaign performance to customer actions and business KPIs.

  • Support Alli platform upgrades, enhancements, testing, and ongoing analytics capabilities.

  • Partner with cross-functional teams, including Media, Client Strategy, Data Science, and Engineering, to support measurement strategies and analytics solutions aligned with customer objectives.

  • Coordinate with stakeholders through consultation, documentation, onboarding, training, and ongoing support to improve adoption and usability of analytics tools and workflows.

  • Identify opportunities to improve and automate recurring analytics processes, reporting, and data workflows.

  • Stay current on marketing measurement, analytics tools, data practices, and emerging technologies, including AI and automation.

What You Will Bring

  • 1–3 years of experience in analytics, data analytics, marketing analytics, business intelligence, or a related field, with a bachelor’s degree or equivalent work experience.

  • Experience working with SQL to query, transform, validate, and analyze data.

  • Familiarity with data warehousing platforms such as Amazon Redshift, BigQuery, or Snowflake.

  • Experience with or exposure to data transformation and workflow tools such as dbt, including data-quality testing and validation.

  • Experience building or maintaining dashboards and reports using visualization platforms such as Tableau, Power BI, or Looker.

  • Familiarity with digital marketing, media, or advertising data and an interest in understanding how data supports marketing decision-making.

  • Exposure to marketing measurement concepts such as media mix modeling, lift testing, incrementality testing, attribution, or experimentation.

  • Ability to investigate data discrepancies, troubleshoot reporting issues, and work across teams to identify and resolve root causes.

  • Strong attention to detail and a proactive approach to maintaining data quality, consistency, and accuracy.

  • Ability to manage multiple requests and priorities while delivering accurate, high-quality work in a fast-paced environment.

  • Strong communication skills with the ability to document processes, explain analytical concepts, and provide support to both technical and non-technical stakeholders.

  • Familiarity with Python or R for analysis, automation, or data workflows is a plus.

  • Experience with ETL/ELT pipelines, workflow automation, taxonomy management, or data quality monitoring is a plus.

  • Experience working with marketing technology, ad tech, data clean rooms, or measurement platforms is a plus.

  • 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 People-Focused approach to collaboration, building strong relationships across teams and contributing to an environment where others can succeed.

What We Offer

  • 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.

Benefits vary by country, location, and geography to reflect local laws, norms, and expectations.

What Sets Us Apart

Being part of PMG means joining a company culture that’s unmatched in digital. We're dedicated to working hard to serve our employees and clients, delivering value, results, and innovation—which often requires true grit and agility. We believe in taking care of ourselves and each other to continuously improve in every way.

In alignment with our core values to be inclusive and always change for the better, PMG is committed to creating a more diverse and inclusive culture, and we are proud to be an equal opportunity employer. We believe that we only change for the better by bringing diverse perspectives to our company. PMG recruits, employs, trains, compensates, and promotes regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

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