Manager, Advanced Analytics Media

Overview:

While professional experience and qualifications are key for this role, make sure to check you have the preferable soft skills before applying if required.Can help evolve the Data Sciences/Advanced Analytics/Modeling capability within the practiceCan help provide expertise on Advanced Analytics/Modeling techniques to enhance our capabilities and bring new opportunities, approaches, ideas, perspectives, etc. to clients.Has a combination of advanced analytical/modeling expertise, business acumen, a strategic/ technical mindset, client relationship and project management proficiency, together with a passion for building new capabilitiesCan structure ambiguous problems, own and drive projects from start to finish, apply sound business judgment, and communicate complex information effectivelyHas a genuine curious nature, desire to dive deep in the numbers to discover context and make the business case, and goes beyond usual approaches to solve problems and seize opportunitiesHas the willingness to “have an opinion” backed up by insight and analytics and the confidence to influence key stakeholders in meetingsRole Objectives:Work with complex data structures, cleanse data, and perform statistical analyses such as: marketing mix models (MMM), digital multi-touch attribution (MTA), TV attribution, media response analysis, time series analysis, predictive modeling, cluster analysis, user overlap analysis, path to conversion analysis, website analytics, lifetime value (LV) analysis, discrete choice/conjoint analysis, latent class & other clustering techniques (segmentations), multivariate & logistic regressions (ex. multivariate creative analysis), decision trees (e.g. CHAID/CART), factor & correspondence/MDS analysis, simulation & optimization, forecasting, etc.Leverage advanced analytic techniques to drive marketing performance (ex. site traffic, application volume, conversion rates, CPA, revenue, ROAS, LTV, etc.), isolate key KPI trends and performance pacing, optimize consumer online/offline experiences, predict consumer behaviors, maximize sales conversion, drive optimizations (across media investment and mix, target audiences, and creative messages) and forecast critical business outcomesSupport senior team members in advanced analytics engagements from start-to-finish, including:

Stakeholder interviews/fact-finding to uncover client issuesPropose solution /analytical approach / methodology, with supporting rationaleManage project timeline throughout, escalating potential roadblocks when necessaryConduct modeling and analysesGenerate insightsFormulate strategic implications and recommendationsProduce easy-to-understand, error-free, and timely reportsDeliver final presentation of results

Effectively work across the advanced analytics/modeling lifecycle:

Definition of business questions and hypothesesData acquisition from different sources (ensuring adequacy, accuracy, and legitimacy of data)Data integration (merge, join, subset)Data preparation and cleanup (missing data, outlier detection, duplications)Model developmentConduct descriptive statistical and diagnostic techniques to determine model validity, accuracy and goodness-of-fit, such as: p-values, MAPE, Variance Inflation factor (VIF), Durbin-Watson, etc.Exploratory data analysisCreating and optimizing models including validation and interpretationData visualization (Excel, Tableau, R Shiny etc.)Insights generationCommunication of results in a clear and succinct fashion

Qualifications

Must Have:3+ years of work experience in a quantitative business environmentExperience in:

SAS, R or Python (Must have worked and created codes from scratch on several projects – not merely running someone else’s code by changing parameters)SQL (Must have worked and created codes from scratch on several projects – not merely running someone else’s code by changing parameters)

Experience working with various advanced statistical modeling and other forms of quantitative analysis

Experience in multi-variate regression in projects and understand regressions thoroughly

P-value, VIF, T-score, R2, MSE, Durbin-Watson should all be familiar terms

ETL processing

Knowledge of database structureExperience with data manipulation

Statistical/analytical software packages (SAS, R, Python) and coding/programming languages (SQL, Python)Proficiency in Microsoft Office, particularly Excel (have the ability to sort, analyze, import, export, clean data, work with pivot tables, and know how to do V and H lookups, etc.) and PowerPointNice to Have:Experience working with marketing mix modeling (MMM), (digital; TV, radio, OOH, etc.) attribution and measurement companies: including Neustar, MMA (IPSOS), Analytic Partners, Nielsen (mROI; Visual IQ), (m)PHASIZE (Publicis Media), Hudson River Group (HRG), Marketing Evolution, Google Attribution 360, Abakus (SAP), Conversion Logic, TVSquared, iSpot, C3 Metrics, Data Plus Math, IRI, etc.Business Intelligence (BI) / Visualization tool experience (Datorama, Domo, Tableau, Microstrategy, Microsoft Power BI, Data Studio)ETL tools (Alteryx)Experience working web analytics platforms (Adobe Analytics, Google Analytics, etc.)ETL processing

Knowledge of database structureExperience with data manipulation

Statistical/analytical software packages (SAS, R, Python) and coding/programming languages (SQL, Python)Proficiency in Microsoft Office, particularly Excel (have the ability to sort, analyze, import, export, clean data, work with pivot tables, and know how to do V and H lookups, etc.) and PowerPoint

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