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Mindshare Spain SA

Manager, Business Intelligence

Mindshare Spain SA, Chicago, Illinois, United States, 60290


Mindshare delivers Good Growth for its clients. As “Growth Architects,” we drive growth that benefits all stakeholders — better for people, planet, and business — by using media with intention. This approach creates more meaningful connections with consumers, increases consumer trust in the brand, and delivers better outcomes for all stakeholders.Role Summary & ImpactIn this role, you will partner closely with the client, internal Planning, and Investment teams to develop a cross-media measurement strategy and support the Associate Director lead on the business.Key ResponsibilitiesPrimary responsibilities revolve around providing thought leadership with regards to clients’ measurement strategies and ensuring all reporting, data quality, measurement frameworks etc. are completed on time.Proficient with primary buying and ad-serving tools.Design and manage research projects (Upwave, Lucid).Evaluate vendors, technologies, and new advertising opportunities.Solid knowledge of tools and systems (primarily econometric and data governance focused).Support advanced analytic requests alongside the modeling team, support the strategic vision of the client.Requirements

Bachelor’s degree in Marketing, Advertising, Economics, Computer Science, Information Systems, Business Analytics, or related field; OR equivalent professional work experience.Experience in the CPG space preferredStrong analytic and problem-solving skillsExcellent written, oral, and presentation communication abilities.Ability to foster collaborative relationships with other cross-functional teams.Ability to manage and prioritize competing projects and deliverables.Experience with a variety of the following tools and platforms preferred:Web Analytics – Google Analytics, Adobe Analytics AdServers experienceSyndicated Measurement: Nielsen, comScore, DoubleVerifyAd Effectiveness Research: Kantar Millward Brown, Upwave, Lucid, DynataFamiliarity with SQL preferred; R and Python a PLUS

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