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Senior Analytics EngineerCarmichael Lynch • United States
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Senior Analytics Engineer

Carmichael Lynch
  • US
    United States
  • US
    United States
Postuler Maintenant

À propos

What We Believe
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.
Our Hiring Philosophy
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: https://www.carmichaellynch.com/about/
What's In It for You* 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. *Please note that these benefits only apply to full time roles
Summary of Job: 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.
What You'll Do:
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.
Lead media data engineering initiatives
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 BigQuery 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 escalate, push or pull back, or execute. Communicate effectively with less technical stakeholders to address challenges and keep them updated on progress.
You Could Be a Good Fit If:
You take ownership of data quality and availability like it's mission critical. You already are, or have the drive to become, an expert in media data. You're a problem-solver who doesn't stop at "it's broken." You figure out why and how to fix it. You balance speed and accuracy, knowing both matter in a client-driven environment. You're adaptable, resourceful, and curious. You're able to figure things out with limited direction. Learning new things and finding creative solutions are some of your favorite parts of your job. Requirements
Education:
A bachelor's degree preferred or equivalent work experience in related field such as computer science, data science, mathematics/statistics, marketing analytics, etc. Skills and Experience:
6+ years of experience in data engineering, marketing analytics, media analytics, or related disciplines. Agency experience strongly preferred. Expert-level SQL and Python skills with experience developing scalable production-grade data pipelines. Deep experience working with digital media data, including campaign delivery, audience, conversion, and attribution datasets. Proven experience designing and implementing data solutions that support media planning, optimization, measurement, and reporting. Strong understanding of digital marketing ecosystems, including platforms such as Google Ads, CM360, DV360, The Trade Desk, Meta, LinkedIn, Adobe Analytics, and Google Analytics 4. Experience integrating multiple data sources, including media, site analytics, offline conversion, and first-party customer data. Deep experience with BigQuery, GCP, or similar cloud-based data warehouse environments. Experience evaluating client business requirements and translating them into scalable technical solutions. Experience building data products, automated reporting frameworks, and measurement solutions for internal and external stakeholders. Experience with dashboarding and visualization tools such as Tableau, Looker, Power BI, or similar. Competencies (Characteristics and Work Style):
Understands both the technical and business implications of data solutions. Recommends approaches rather than simply execute requirements. Builds credibility with clients and internal stakeholders through expertise and thoughtful problem solving. Demonstrates ownership, initiative, and accountability from project inception through delivery. Influences decisions and challenges assumptions when a better solution exists.
The salary range for this position is listed below. Where an employee or prospective employee is paid within this range will depend on a variety of factors, including but not limited to budget, relevant experience, qualifications, and tenure in similar roles. Consideration may also be given to internal salary data for current or former employees in the same or similar positions.
Salary Range: $105,000 - 135,000 annually
  • United States

Compétences linguistiques

  • English
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