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OverviewAs an associate, you will develop compelling actionable insights through quantitative analysis, innovative thinking, and storytelling with data. You will work to identify new reporting needs, automate recurrent report requests where possible, identify data trends, and propose changes to improve the quality of the information that is processed. You will contribute to the delivery of smart marketing and strategic advice through the combination of data & insight.Areas of Responsibility:Production of campaign reports and analyses according to measurement plansDevelopment of observations and actionable insights around campaign resultsData storytelling of results and analyses in presentation decks/slidesConsolidation of learnings across similar campaignsIdentification of opportunities to automate any/all analyses and identify processes for efficienciesMaintenance of data systems and processes used for reporting and ongoing data analysisDevelopment of dashboards in visualization tools such as Tableau/QlikView/LookerOngoing data QA to ensure data used for reporting and analysis is accurateEducation:Bachelor’s degree in Statistics, Math, Business, Marketing, Economics, Social Science or other related field of study is required at a minimumRequirements:1-2 years of experience working in a data-driven field, utilizing quantitative techniques to solve problems such as campaign analysis, optimization, customer segmentation, and/or predictive modeling (New graduates will also be considered depending on their educational background and academic record)A strong desire to learn and passion for digital marketing, research, and analyticsAbility to work well with others and work in cross-functional teamsAbility to manage and prioritize a number of concurrent tasks in a fast-paced environmentAbility to clearly explain complex technical ideas to multiple audiences both verbally and in writingStrong attention to detailDesired Technical Skills:These technical skills are listed to give you a general idea about the tools and techniques we use. The tools and techniques you will be using in your specialization unit will be a subset of the below.Strong proficiency with MS Excel, PowerPoint, or Keynote are a mustExperience/familiarity in ad-serving and web analytics tools (Google DFA, Atlas, Google Analytics, Omniture, etc.)Experience or familiarity with syndicated research sources/tools (Gfk, MRI, Simmons, Scarborough, IMS, Nielsen, comScore)Experience or familiarity with digital ad effectiveness researchExperience or familiarity with visualization tools such as Tableau/QlikView are a plusExperience in R, SAS, Python, or other advanced analytics software packages is a significant plusExperience/familiarity with concepts of database design and SQL are a plusFamiliarity with web technologies including HTML and JavaScript #J-18808-Ljbffr