Job Description

WE'RE LOOKING FOR A MANAGER WHO: 

• Can help evolve the Data Sciences/Advanced Analytics/Modeling capability within the practice 

• Can 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 capabilities  

• Can structure ambiguous problems, own and drive projects from start to finish, apply sound business judgment, and communicate complex information effectively 

• Has 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 opportunities 

• Has the willingness to “have an opinion” backed up by insight and analytics and the confidence to influence key stakeholders in meetings

ROLE 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 outcomes 

• Support senior team members in advanced analytics engagements from start-to-finish, including: 

  • Stakeholder interviews/fact-finding to uncover client issues 

  • Propose solution /analytical approach / methodology, with supporting rationale 

  • Manage project timeline throughout, escalating potential roadblocks when necessary 

  • Conduct modeling and analyses 

  • Generate insights 

  • Formulate strategic implications and recommendations 

  • Produce easy-to-understand, error-free, and timely reports 

  • Deliver final presentation of results

    

• Effectively work across the advanced analytics/modeling lifecycle: 

  • Definition of business questions and hypotheses  

  • Data 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 development 

  • Conduct 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 analysis 

  • Creating and optimizing models including validation and interpretation 

  • Data visualization (Excel, Tableau, R Shiny etc.) 

  • Insights generation 

  • Communication of results in a clear and succinct fashion

Qualifications

MINIMUM QUALIFICATIONS:

• 3+ years of work experience in a quantitative business environment 

• Experience 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 structure 

  • Experience 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

NICE 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) 

• Experienced working with aggregate, cookie, user-, and event-level datasets and ad/mar technologies like: 

  • Ad Servers (Google/DCM, Innovid, Flashtalking, etc.) 

  • Programmatic Media & Exchanges (DSPs, DMPs, SSPs, etc.) 

  • Marketing Clouds (Adobe, Salesforce, Oracle, SAP Hybris, IBM, etc.) 

  • Digital & Broadcast Analytics (Google, Adobe, Mixpanel, comScore, Quantcast, Nielsen, etc.) 

  • ETL tools (Alteryx) 

  • Web Analytics (Google Analytics, Adobe Analytics, etc.)

   

• Experience working web analytics platforms (Adobe Analytics, Google Analytics, etc.)

Additional Information

All your information will be kept confidential according to EEO guidelines.

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