Senior Marketing Science Analyst

<p>Material is a leading integrated marketing services company that leverages deep human understanding to help brands deliver material outcomes and experiences for their customers and the communities they serve. We build B2C and B2B brands from the insight out by providing a seamless journey that combines data and analytics, insights-led consulting, and experience activation into one integrated offering.</p>

Los Angeles; New York; Chicago; Philadelphia; San


<strong>Material is a collaborative built from legendary practices across research, strategy, design, and brand building. Eleven pioneering companies united as one to solve wider, deeper, and more innovative challenges together.</strong><br /><br /><strong>We uncover what&rsquo;s important to people and create experiences that pull them in and open our worlds. We seek curious, experienced, and deeply empathetic humans to enrich our diverse teams of leaders and do-ers. Want in?</strong><br /> <h5>LRW | Kelton | T3 | Karma | Greenberg | Tonic | MotiveQuest | Salt Branding | Killer Visual Strategies | Strativity | Aruliden</h5>

keywords: position summary,about us,research,project management,software development,solutions,experience,degree


Overview: <strong>ABOUT THE ROLE&nbsp;</strong> <br /><br />Material is seeking a Senior Analyst for the Marketing and Data Science team who is passionate about delivering big impact and solving complex business problems. You have an entrepreneurial mindset - you see opportunities to improve something and take them.<br /><br /><br /><strong>About Us</strong><br />We are a fast-growing market research firm with an entrepreneurial culture.&nbsp;We&rsquo;ve&nbsp;spent the past 40 years using analytics and research to help businesses understand their customers, and we work across industries in more than 80 countries with some of the largest brands in the world. We value diverse perspectives and believe that different voices and viewpoints make us stronger.&nbsp;We&rsquo;re&nbsp;also proud to have a helpful and supportive culture, where we take time to celebrate accomplishments both large and small.&nbsp;And&nbsp;while we&rsquo;re grounded in our rich history, we never stop searching for new approaches and tools; we were named the #1 Most Innovative Insights Firm in North America by the&nbsp;GRIT Report&nbsp;in 2019. &nbsp; With offices around the world, our 500+ teammates work across a dozen business units,&nbsp;collaborating with clients in entertainment and media, pharmaceuticals, technology, consumer packaged goods and more. Our experienced leadership team offers stability and structure, while our commitment to innovation fosters groundbreaking initiatives that help us improve our research approaches&mdash;like our Pragmatic Brain Science teams, who explore new psychological frameworks&nbsp;to better understand&nbsp;customer motivations.&nbsp;
Responsibilities: Your role will encompass these areas of responsibility:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <ul> <li>Familiarizing yourself with the life-cycle of a typical research project from proposal to report delivery, identifying analytic challenges that offer the greatest opportunities</li> <li>Identifying patterns and formulating solutions across common marketing business problems we are tasked with solving</li> <li>Determining appropriate datasets and algorithms to deploy on a per client engagement basis</li> <li>Consistently growing your modeling, programming, and communication skills both through independent drive and apprentice style learning with more senior consultants within the team</li> </ul> This is a multifaceted role where skill in research design and analytical prowess is paramount in addition to strong indicators of business acumen and communication. Solution discovery, ad-hoc modeling creativity, and agile problem solving against a broad variety of business applications are essential.
Requirements: ABOUT YOU&nbsp; <ul> <li>3+ years experience in a data modeling related field with experience in predictive analytics, clustering, dimension reduction, and experimental designs in addition to common descriptive and inferential multivariate statistical analyses. Business related experience a plus, but lab work in a PhD program may qualify</li> <li>Advanced degree in a technical field such as mathematics, physics, statistics, economics or with a technical emphasis in fields such as cognitive science or psychology</li> <li>Experience with common statistical computing platforms and tools such as R or Python</li> <li>Experience with VBA and advanced Excel formulas is a plus</li> </ul>