Senior Analyst, Analytics

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 a Senior Analyst 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 key clients. 

• Has an interest in growing advanced analytical/modeling expertise with a knack for business acumen, a strategic/ technical mindset, client, relationship and project management proficiency, together with a passion for building new capabilities and teams 

• 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  

DUTIES AND RESPONSIBILITIES 

• 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 Director and Participate 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)