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 operationscollaboration: connect across planning, investment, and technology teams to ensure holistic understanding of dataself-management: manage day-to-day tasks, ensuring understanding of proper prioritiesaudience discovery & strategydata analysis: implement analysis plans and support audience insight analysis across multiple data sourcesdata analysis management: structure data in efficient manners for performing analysismeasurement & reportingmeasurement: apply advancing foundational knowledge of measurement strategy, frameworks and technologybenchmarks & goals: learn how and assist in setting benchmarks and targets based on historical campaign datareporting & optimization: produce of campaign reports and analyses according to measurement plansinsights: learn the basics of how to develop an insight and apply knowledge to clearly create key takeaways from analysesdata strategy & technologydata technology utilization: identify opportunities to automate analyses and identify more efficient processesdata management: maintain and qa data systems and processes used for reporting and on-going data analysisdata visualization: develop dashboards in visualization tools such as tableau/qlik view/lookerad operations: learn and apply advanced understanding of ad operationstechnical skills:strong proficiency with ms excel, power point are a mustfamiliarity and beginning experience withad-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, com score)cross-media brand lift research (kantar, lucid, etc.)experience with and application of one of the followingdata visualization: tools such as tableau, datorama, alteryxadvanced analytics software packages: sql, r, python or otherconcepts of database design and sqlrequirements:experience: 2-3 years of experience, preferably in marketing analyticsanalytic capabilities: ability to think logically and use quantitative techniques to solve problems such as campaign analysis, optimization, data management, data operations and/or predictive modelingenglish conversational advance (mandatory)education: bachelor's degree in math, economics, engineering, social sciences, finance, analytical fine arts, or business/marketing fields (mandatory)