Senior Analytics Engineer Minneapolis; Philadelphia

Carmichael Lynch is an integrated creative agency built on the belief that the strongest brands are brave enough to define their true purpose. Since 1962, we’ve helped clients uncover their singular brand truth and turn it into work that can’t be ignored. It’s the hard work of simple—ideas strengthened through integration, where disciplines converge and diverge seamlessly around one compelling truth to cut through clutter and drive real business impact.

Carmichael Lynch is committed to creating a diverse, safe and welcoming workplace with opportunity for all. We strive for inclusion, equity and diversity in both our words and actions. BIPOC, women, marginalized communities, LGBTQIA+, veterans and persons with disabilities are encouraged to apply. To learn more, please visit:

• Professional Development (performance reviews 2x annually, training opportunities related to your field of development, one-on-ones with managers, etc.)
• We offer competitive, equitable salaries (reviewed annually to ensure equity and competitiveness)
• A strong, vibrant, continually-evolving Diversity, Equity and Inclusion belief (in thought and action), encompassing our agency and our Employee Resource Groups (ERGs). Recognizing the voices that need to be heard.
• Competitive, company and employee sponsored benefits, including:
  Medical, Dental, Vision, 401k, PTO (vacation/sick time) allowance, maternity leave, parental leave, paid company holidays, Family Building Benefit (adoption, surrogacy benefit), and much more.

These benefits apply to full time roles.

As a senior analytics engineer, you’ll work across a dynamic client roster designing and building data solutions that connect media, site, and marketing performance data into actionable insights. You will partner closely with analytics, strategy, media, and client teams to architect scalable data solutions that answer business questions and support marketing decision‑making.

This role requires a hands‑on, solution‑oriented engineer who combines deep technical expertise with a strong understanding of media and digital analytics. The ideal candidate proactively identifies opportunities, solves complex data challenges, and helps shape how data is leveraged across the agency and for our clients.

• Design data solutions that solve client business needs
  • Partner with analytics and media teams to understand business objectives and translate them into scalable data solutions.
  • Design data models that integrate media, site, sales, and media conversion data to provide a complete view of marketing performance.
  • Recommend and implement measurement approaches that support both agency and client objectives.
  • Serve as a subject matter expert on media and marketing data architecture.
• Build and maintain integrations across major advertising, analytics, and marketing technology platforms.
• Develop scalable frameworks for campaign performance measurement, attribution, audience analysis, and optimization.
• Evaluate emerging platforms, APIs, and data sources to improve agency capabilities and client outcomes.
• Build and maintain data pipelines
  • Automate reporting pipelines with speed, accuracy, and scalability in mind.
  • Demonstrate best practices in data engineering and account for considerations specific to media and site data in every step of the automation process.
  • Write and optimize SQL views, Python/R scripts, and API connectors as needed.
  • Continually optimize data cleaning and anomaly detection processes.
  • Help manage and advance our GCP infrastructure, particularly with Big Query and GCP integrations.
• Own data quality and governance
  • Enforce naming conventions, dataset groupings, versioning, and access standards.
  • Maintain rigorous QA practices to ensure clean, reliable, and consistent data.
  • Continuously seek opportunities to improve processes and infrastructure.
• Solve problems relentlessly
  • Proactively catch and investigate issues, find root causes, and go beyond surface solutions.
  • Work with analysts to anticipate needs and ensure data is easy to find and use.
  • Demonstrate situational awareness and know when to elevate, adjust, or proceed, or execute.
  • Communi…