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About the Role

As a senior analytics engineer, you’ll design and build 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.

Responsibilities

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

Requirements

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
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

Skills

SQL
Python
BigQuery
GCP
Tableau
Looker
Power BI
Google Ads
CM360
DV360
The Trade Desk
Meta
LinkedIn
Adobe Analytics
Google Analytics 4

Location

Onsite (minimum 3 days a week)

Work Type

Hybrid

Experience Level

Senior
6+ years of experience

Education Level

Bachelor's degree or equivalent work experience in computer science, data science, mathematics/statistics, marketing analytics, or related field

Salary/Compensations

$105,000 - $135,000 annually

About the Company

Omnicom is committed to hiring and developing exceptional talent.
We agree that talent is uniquely distributed, and we’re focused on developing inclusive teams that can bring the best solutions to everything we do.
We strongly believe that celebrating what makes us different makes us better together.
Join us—we look forward to getting to know you.
At Omnicom Group, careers are designed for growth.
We’ve purposefully crafted a transformative talent experience built with accountability in action — focused on community, impact, and opportunity.

Equal Opportunity

For US Job Seekers: It is the policy of Omnicom and any of its affiliates to provide equal employment opportunities to all employees and applicants for employment without regard to race, religion, color, ethnic origin, gender, gender identity, age, marital status, veteran status, sexual orientation, disability, or any other basis prohibited by applicable federal, state, or local law.
EOE/AA/M/D/V/F.