Analyst , AAC Modeling

Job Description

Executive , AAC ModelingDate : Aug 21 , Location : Vadodara , IN Company : Nielsen RESEARCH EXECUTIVE BARODA ABOUT THIS JOB Nielsen s Marketing ROI group helps our clients optimize their marketing spend by using advanced analytics to quantify the impact of marketing efforts and other business drivers on sales and profits. We are pioneers of Marketing Mix Modeling (MMM) and a recognized leader in methodology , technology and advanced planning & optimization software. As part of the world s largest Marketing Mix Modeling provider , we offer the best of both worlds : the benefits of a big company (information access , industry benchmarks , thought leadership , innovation and scalability) with a service model of a boutique (customized solutions , nimble approach , responsiveness and speed to insights). RESPONSIBILITIES As an Analyst , you will work in a team to develop marketing mix and other statistical models that help our clients understand what drives their sales and provide recommendations on how they can optimize their marketing investments. You will be responsible for ing quantitative methods to assess the impact of marketing execution (media , consumer promotions , trade , etc.) on sales and work closely with Client Consultants on all aspects of project work including preparation of data (internal and syndicated sources) , model building , interpretation and recommendations. Build marketing mix models leveraging our proprietary modeling platform. Interpret and validate model results both statistical and face validity checks. Connect the results with client business problems. Write and update programming codes to assist with all phases of project (read input data , define model specifications , data analysis , presentation development , automated modeling tools , etc.) Prepare PowerPoint decks with results of statistical analysis for internal and client reviews. Run optimization and simulation scenarios to help provide the marketing investment and allocation recommendations to client. Work closely with the project team to implement best practices of problem solving. Contribute new ideas to improve project deliverables and execution. Assist other team members with a variety of tasks related to the analysis of sales and marketing effectiveness , and calculation of return on marketing investment. A LITTLE BIT ABOUT YOU You ve dabbled in data. You ve perused Analytics. And you have the communication chops to translate it all into conversation or presentations. While you ve worked with global cross - functional teams , you can also put your head down and focus on independent projects. Seeing the big picture takes attention to detail. Keeping up with the fast - changing world of digital media measurement takes someone who recognizes that. You know what s happening in big data and you re ready to influence what s next. QUALIFICATIONS Bachelors degree required , Masters preferred Significant coursework or degree in quantitative fields such as Statistics , Econometrics , Mathematics , Operations Research , Industrial Engineering , Business (with quantitative emphasis) Marketing research or analytics experience will be a plus Enjoy being hands - on with data and modelling. Enthusiasm for learning the practical application of statistical analysis to address business issues Strong analytical and problem solving skills , particularly with application of statistical and quantitative tools Possess understanding of statistics , especially in areas of linear regression Experience with statistical analysis software such as SAS , SPSS or R is required; Detail - oriented and strong project management skills Well - organized , capable of handling several tasks at a time while meeting deadlines Strong oral and written communication skills , influencing skills and presentation skills Skilled at Microsoft Office , particularly Excel and PowerPoint Experience with Nielsen or other syndicated data and / or media data a plus

Keyskills :
icrosoft office data analysis big data marketing mix modeling model building marketing mix problem solving modeling tools digital media