Senior associate, marketing science

We are OMD, Cannes Lions 2024 Media Network of the Year, RECMA’s Best-Performing Media Network Globally, and COMvergence’s #1 Global Agency Network. As the world’s largest media network, with more than 12,000 people working in over 100 countries, we excel at making better decisions, faster. By combining innovation, creativity, empathy, and evidence, we help clients move faster, reach further, and take smarter risks in a world full of opportunities.

We pride ourselves on being a people‑obsessed, outcomes‑focused business that applies evidence and data‑based solutions, married with the practice of empathy, to drive performance and growth. When working with our clients, we put ourselves in the shoes of the consumer in order to see the world through their eyes. We focus on finding greater empathy with the consumer so as to uncover insights and opportunities that deliver more valued and valuable connections.

As a Senior Associate on the Marketing Science team, you will develop actionable insights through quantitative analysis, innovative thinking, and your growing industry knowledge. You will use your strong analytic and technical knowledge to design, produce, automate and evolve reports. You will be a proactive collaborator in insight generation and evolution of advertising programs that are proven to drive business results.

SENIOR ANALYST, ANALYTICS


Areas Of Responsibility

* Team Operations
o Collaboration: Connect across planning, investment, and technology teams to ensure holistic understanding of data.
o Self‑Management: Manage day‑to‑day tasks, ensuring understanding of proper priorities.
* Audience Discovery & Strategy
o Data Analysis: Implement analysis plans and support audience insight analysis across multiple data sources.
o Data Analysis Management: Structure data in efficient manners for performing analysis.
* Measurement & Reporting
o Measurement: Apply advancing foundational knowledge of measurement strategy, frameworks and technology.
o Benchmarks & Goals: Learn how and assist in setting benchmarks and targets based on historical campaign data.
o Reporting & Optimization: Produce campaign reports and analyses according to measurement plans.
o Insights: Learn the basics of how to develop an insight and apply knowledge to clearly create key takeaways from analyses.
* Data Strategy & Technology
o Data Technology Utilization: Identify opportunities to automate analyses and identify more efficient processes.
o Data Management: Maintain and QA data systems and processes used for reporting and ongoing data analysis.
o Data Visualization: Develop dashboards in visualization tools such as Tableau, QlikView, and Looker.
o Ad Operations: Learn and apply advanced understanding of Ad Operations.


Desired Experience

* Data Knowledge: Experience with different types of behavioral data and/or syndicated research data sources.
* Analytic Mindset and Creativity: Ability to creatively problem solve.
* Cross‑Channel Analytics: Working understanding of offline and online channel KPIs.
* Structured analysis/statistical understanding: Experience structuring data to get the most accurate read.
* Media Foundations: Beginning foundation of understanding media strategy, budget setting and channel selection.
* Data Science: Experience applying more advanced analytics/statistics using code.


Desired Technical Skills

* Strong proficiency with MS Excel and PowerPoint are a must.
* Familiarity and beginning experience with
o Ad‑serving and web analytics tools (DCM, DV360, IAS/Moat, Facebook Advanced Analytics, Google ADH, Google Analytics, Adobe, etc.).
o Behavioral data sources (Acxiom, Experian, Clickstream, Location, IRi, Liveramp).
o Syndicated research sources/tools (Gfk, MRI, Simmons, Scarborough, IMS, Nielsen, comScore).
o Cross‑media brand lift research (Kantar, Lucid, etc.).
* Experience with and application of one of the following
o Data visualization: tools such as Tableau, Datorama, Alteryx.
o Advanced analytics software packages: SQL, R, Python or other.
o Concepts of database design and SQL.


Requirements

* Experience: 2–3 years of experience, preferably in marketing analytics.
* Analytic Capabilities: Ability to think logically and use quantitative techniques to solve problems such as campaign analysis, optimization, data management, data operations, and/or predictive modeling.
* Education: Bachelor’s degree in math, economics, engineering, social sciences, finance, analytical fine arts, or business/marketing fields.


Qualities (in Order Of Priority)

* Curiosity and Forward Thinking – A natural and persistent inclination to explore, discover, and learn, and a general fascination with analytics. The drive to go beyond asking “what?” to ask “why?”; a commitment to digging beneath the surfaces and interrogating information versus accepting it at face value.
* Collaboration – A desire to create a collaborative working environment where the notion of team comes before companies.
* Adaptability, Flexibility and Resilience – A comfort with fast‑paced, intense, changing business and everything that comes with that. Client’s shift strategic direction incredibly fast, you must have a temperament that enjoys and reacts positively to change.
* Problem solving – An ability to figure out and solve problems on your own, leveraging all resources available.
* Creativity – A knack to think, solve problems in non‑linear ways and connect dots to craft compelling stories.
* Confidence – A willingness to share opinions and present recommendations with conviction.

Compensation Range: $50,000 – $85,000 annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on relevant experience, other job‑related qualifications/skills, and geographic location (to account for comparative cost of living). The Company reserves the right to modify this pay range at any time. For this role, benefits include: health/vision/dental insurance, 401(k), Healthcare Flexible Spending Account, Dependent Care Flexible Spending Account, vacation, sick, personal days, paid parental leave, and paid medical leave, STD/LTD insurance benefits.

This role is hybrid, requiring three (3) days per week in the office. The remaining two (2) days may be worked remotely. Specific in‑office days will be discussed during the interview process, with flexibility to align with team needs. Please note that the number or required in‑office days may be adjusted over time, potentially increasing the number of required in‑office days based on business needs.

Review Our Recruitment Privacy Notice

#J-18808-Ljbffr