Company Description

About Spark Foundry:

Spark Foundry is a global media agency that exists to bring HEAT – Higher Engagement, Affinity, and Transactions – to brands. By combining flawless media fundamentals with aggressive innovation, Spark inspires consumers to pay more attention, to care more about our clients’ brands, and to buy more products and services from them.

Balancing the nimble spirit of a startup with the powerhouse soul of Publicis Media, Spark Foundry delivers the best of both worlds to a client roster that spans some of the world’s best and most beloved brands and companies. We combine boutique-caliber insights and service with the buying clout and first-look access of a global leader, bringing the heat to challenger brands that want to act like giants, and to giant brands that want to act like challengers.

With a bottom-up culture that celebrates diversity and aims for all voices to be heard, Spark has become a magnet for the industry’s best talent, with one of the best retention rates in the industry. And by applying a whole-person approach to professional and personal development, Spark develops a workforce that is well prepared for today’s challenges, and also poised to create meaningful careers in the years to come. 

Because we know that heat arises the intersection of complementary forces, our professionals come from myriad disciplines and backgrounds: data, analytics, and insights, content and creative production, communications and strategy, finance and marketing, and sociology, psychology, and other liberal arts disciplines.

Job Description

We're looking for an SVP who:

Can help evolve the Data Sciences/Advanced Analytics/Modeling capability within the practiceCan help provide strategic thought leadership and subject matter expertise on Advanced Analytics/Modeling techniques to enhance our capabilities and bring new opportunities, approaches, ideas, perspectives, etc. to key clients.Has a combination of deep and sophisticated advanced analytical/modeling expertise; business acumen; a strategic and technical mindset; and client, relationship and project management proficiency, together with a passion for building new capabilities and teamsCan 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 meetings

Duties and Responsibilities:

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 outcomesWork with complex data structures; cleanse data and perform statistical analyses such as: marketing mix modes (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.Measure and optimize full-funnel, performance marketing initiatives (across paid search and display) to ensure activities are effective, efficient, and deliver a high return on investment (ROI).Lead 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 resultsEffectively 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 modes including validation and interpretationData visualization (Excel, Tableau, R Shiny etc.)Insights generationCommunication of results in a clear and succinct fashionSelf-sufficiently manage reporting responsibilities and analytical projects with guidance from senior team membersIndependently deliver results and presentations to internal stakeholders and clientsThe quality, accuracy, and timeliness of work being done on behalf of our clientsProduce easy-to-understand, error-free, and timely deliverables that provide actionable insights that address client business objectivesClearly define and manage project deliverables, timelines, and dependencies for junior team members, internal stakeholders, and clientsSupport the development of measurement strategies, learning agendas, and roadmaps with input from senior team members and internal stakeholdersProvide training, project support, and career advice to junior team membersConnect the dots, glean insights, find the story, and articulate meaning to:Address key business questions (‘the whats’)Identify insights and provide context & hypotheses (the ‘so-whats and why’)Recommend strategic action (the ‘now-whats and what nexts’)Devise and implement efficient and secure procedures for data handling and analysisHelp provide strategic thought leadership and subject matter expertise on advanced analytical techniques to enhance our capabilities, drive competitive advantage and bring new opportunities, approaches, ideas, perspectives, etc. to clientsHelp establish and instill standards, methods and best practices that enable the Marketing Sciences practice to consistently provide best-in-class analytical deliverablesProvide the media strategy and execution teams with actionable insights to optimize the effectiveness and efficiency of media tactics and campaigns both across and within media channelsDeep dive analytics and statistical/machine learning modeling for precision audience targeting, paid search keyword and bidding optimization, display bidding optimization, etc.Design of experiments to optimize media (budget, mix, audiences, messaging)

Qualifications

Technical Skills:

Must Have:

Hands-on experience working with various advanced statistical modeling (Bayesian Networks Inference, linear and non-linear regression, hierarchical mixed models/multi-level) and other forms of quantitative analysis (media response modeling, forecasting, time series analysis, multivariate statistical analysis, factor analysis, regression analysis, propensity, etc.)Knowledge of database structure and functionalityHands-on experience with data manipulation and statistical / analytical software packages (R, MATLAB, SPlus, Stata, SAS, SPSS, SQL) and coding / programming languages (SQL, Python, JAVA, C++)Experience with AWS, Hadoop, Spark, Redshift or other big data platformsProficiency 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.)ETL Process (Must have done this repeatedly throughout the career and must be able to self-diagnose the data for error).Have ran regressions in projects and understand regressions thoroughlyP-value, VIF, T-score, R2, MSE, Durbin-Watson should all be familiar termsForecasting methodologies (ARIMA, fbProphet, etc)Must be able to calculate significant tests in various setups such comparison of means, proportions, and finding minimum # of sample sizeCorrelation, Cluster Analysis, and Factor AnalysisExperience 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.

Nice to Have:

Business Intelligence (BI) / Visualization tool experience (Datorama, Domo, Tableau, Microstrategy, Microsoft Power BI)Hands-on experiences working with aggregate, cookie, user, and event level datasetsExperience working with ad/mar technologies like:Ad Servers (Google/Doubleclick, Innovid, Sizmek, Flashtalking, etc.)Programmatic Media & Exchanges (OpenRTB, Direct, PMP’s, DSPs, DMPs, SSPs, etc.)Marketing Clouds (Adobe, Salesforce, Oracle, SAP Hybris, IBM, etc.)Digital & Broadcast Analytics (Google, Adobe, Mixpanel, comScore, Quantcast, Nielsen, etc.)Web Analytics (Google Analytics, Adobe Analytics, etc.)Web analytics platforms (Adobe Analytics, Google Analytics, etc.)Surveys (Lucid, Millward Brown, Nielsen, etc.)Competitive monitoring tools (Nielsen, comScore, Kantar, Pathmatics, Competitrac, Numerator, etc.)

Qualifications:

12+ years of work experience in a quantitative business environmentMinimum 8 years of working with R or Python (Must have worked and created codes from scratch on several projects – not merely running someone else’s code by changing some parameters)Minimum 8 years of SQL (Must have worked and created codes from scratch on several projects – not merely running someone else’s code by changing some parameters)Minimum 8+ years of experience in strategic marketing/media analytics (online & offline; traditional, digital and cross-media)Minimum of 5+ years of agency experience (agency experience/ client service business required) or in a management-consulting firmMinimum 8+ years of team management (with direct reports)

Additional Information

This is a hybrid role, requiring three days in-office each week. If you are contacted for an interview, your recruiter will discuss specifics with you, inclusive of any necessary reasonable accommodations.

If you require accommodation or assistance with the application or onboarding process specifically, please contact [email protected]. 

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

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