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AT&T

Lead Advanced Analytics, Marketing Measurement

AT&T, Dallas, Texas, United States, 75215


Job Description:

If your skills, experience, and qualifications match those in this job overview, do not delay your application.About AT&T

At AT&T we’re redefining the future of connectivity. At our core is a passion to serve our customers with products and services that create connections, improve lives and allow millions to share the stories and experiences that matter. Our Corporate teams are fueled by innovation and a desire to connect the world in meaningful ways. Join our team and bring your bold ideas, supporting and transforming our business across areas like marketing, finance and more.About the Marketing & Growth Organization

The Marketing & Growth Organization is AT&T’s marketing engine, responsible for driving sustainable growth by deeply understanding and championing our customers, captivating them with compelling products, services and experiences; and building a culturally relevant and beloved brand. We pride ourselves in continuously striving to embody

expertise ,

simplicity

and

inspiration

in everything we do.Marketing Measurement and Optimization (MMO)

Do you want to use your analytics skills to help craft strategy at AT&T? Are you interested in developing the cutting edge of the Marketing Data Analytics industry?The mission of the MMO team is to develop and implement a systematic approach to quantify the holistic drivers of demand to understand the opportunity costs of investment decisions. We measure the impact media, offers, and all other drivers has on sales, profitability, brand equity, and consumer behavior.About the Role

The Lead - Advanced Analytics position leads team efforts to develop, maintain, refine, and deploy a suite of statistical analyses, including market mix models (MMM) and multi-touch attribution models (MTA) and associated data for AT&T’s Consumer Mobility & Fiber businesses. Insights from analytics will drive strategies and tactics to increase sales, lower churn, develop the brand and optimize AT&T’s deployment of advertising messages, mass media, social media, direct/digital marketing, sponsorship, and offers.The Lead role serves as the main project manager, insights analyst, data expert, and modeling technical advisor on all MMM and MTA analytics for Mobility and Fiber. Attribution projects involve multiple KPIs ranging from Gross Adds to Churn to Consumer Value.Key Responsibilities:Manage all aspects of marketing analytics projects, from initial stakeholder alignment, business case development, data collection, model development and validation, insights extraction, visualization, presentations to stakeholders, and forward looking media planning.Supervise internal data and modeling teams, media agency partners, external consultants and modeling partners.Synthesize learnings from large datasets and advanced statistical models, develop applications, and deploy to non-technical stakeholders throughout the organizationDevelop reports and key insights for advertising campaignsIdentify media and non-media drivers of KPI (sales, churn, brand) changeBe at the forefront of marketing analytics innovation, working with platforms, publishers, agencies, consultancies, and academia to develop and deploy best in class solutionsRequirements/Qualifications:This is a highly visible role that presents insights to the highest levels within the organization.The ideal candidate will possess excellent communication skills and will be comfortable working in a fast-paced, multitasking environment. The candidate should be a persuasive team player who can negotiate with and influence a wide range of business constituencies. A successful candidate will have strong data and information management skills, analytical know-how, and be able to independently identify and solve problems.In terms of technical knowledge, the ideal candidate will have:Experience with statistical regression and attribution modeling such as MMM, MTAExperience with data processing and visualization tools such as SQL, Palantir, Python, Tableau, PowerBI, Snowflake would be highly helpful

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