Senior Analytics Engineer

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. 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 elevate, push, 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. #J-18808-Ljbffr