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.team operations collaboration: connect across planning, investment, and technology teams to ensure holistic understanding of data self-management: manage day-to-day tasks, ensuring understanding of proper priorities audience discovery & strategy data analysis: implement analysis plans and support audience insight analysis across multiple data sources data analysis management: structure data in efficient manners for performing analysis measurement & reporting measurement: apply advancing foundational knowledge of measurement strategy, frameworks and technology benchmarks & goals: learn how and assist in setting benchmarks and targets based on historical campaign data reporting & optimization: produce of campaign reports and analyses according to measurement plans insights: learn the basics of how to develop an insight and apply knowledge to clearly create key takeaways from analyses data strategy & technology data technology utilization: identify opportunities to automate analyses and identify more efficient processes data management: maintain and qa data systems and processes used for reporting and on-going data analysis data visualization: develop dashboards in visualization tools such as tableau/qlikview/looker ad operations: learn and apply advanced understanding of ad operations technical skills: strong proficiency with ms excel, powerpoint are a must familiarity and beginning experience with ad-serving and web analytics tools (dcm, dv360, ias/moat, facebook advanced analytics, google adh, google analytics, adobe, etc.) Behavioral data sources (acxiom, experian, clickstream, location, iri, liveramp) syndicated research sources/tools (gfk, mri, simmons, scarborough, ims, nielsen, comscore) cross-media brand lift research (kantar, lucid, etc.) Experience with and application of one of the following data visualization: tools such as tableau, datorama, alteryx advanced analytics software packages: sql, r, python or other 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 english conversational advance (mandatory) education: bachelor's degree in math, economics, engineering, social sciences, finance, analytical fine arts, or business/marketing fields (mandatory)