FLEX Director - Marketing Intelligence

Bethesda, MD, United States

Marriott International

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This is a temporary position.   

The FLEX Director, Marketing Intelligence supports the business priorities of Marriott’s Marketing organization.  This position is part of a team of marketing analytics experts who are responsible for providing data driven insights and recommendations in support of Marriott’s marketing strategies.  As a Marketing Intelligence FLEX Director, the role will lead a number of projects, initiatives or analyses within the Marketing realm, with a specific focus on Performance Marketing, Paid Media and Marketing Mix Modeling.  The FLEX Director will be responsible for designing and implementing causal incrementality experiments, models, and analyses to deliver insights around causal marketing performance to marketing stakeholders across the organization. The FLEX Director operates with considerable independence, developing actionable insights, while managing multiple competing priorities and stakeholders. 

 

This position is part of the Strategy, Business Intelligence & Data (SBID) - Topline Intelligence team, which is charged with developing and utilizing state-of-the-art analytic approaches and generates business intelligence about customer attitudes and behaviors across all customer-facing touch points along the B2C customer journeys.

 

CANDIDATE PROFILE 

 

Education and Experience Required

 

  • Bachelor’s or advanced degree from an accredited college or university in a quantitative discipline (economics/econometrics, statistics, engineering, operations research, mathematics, etc.)
  • 7+years of work experience in the areas of analytics, marketing strategy or consulting, demonstrating progressive career growth and a pattern of exceptional performance in analytically driven organizations
  • Demonstrated analytical ability with strong knowledge of data modeling, econometric, statistical analysis techniques, and ability to synthesize and analyze large volumes of complex information from multiple sources
  • Experience leading teams directly and/or indirectly through projects
  • Demonstrated experience with SQL, R and/or Python, Tableau

 

Education and Experience Preferred

  • MBA or advanced degree in professional studies, operations research, applied mathematics, finance, economics, etc.
  • Proven experience influencing a business or marketing strategy through the application and/or management of advanced statistical techniques and data driven solutions[YA1] 
  • Demonstrated success with data exploration skills, and mining billions of records
  • Experience working in with digital marketing and media landscape, attribution, identity management and CRM
  • Experience developing and implementing attribution and marketing mix models
  • Experience analyzing customer behavior and profiles, building propensity models and segments for targeting
  • Demonstrated ability in executing advanced analytic tasks (including but not limited to predictive modeling, segmentation, DOE, forecasting, etc.) and creating meaningful analytical outputs 
  • Experience presenting analysis and recommendations to senior level executives, with a demonstrated track record of generating insight through analysis and presenting the information in a manner which impacts key strategy or investment decisions
  • Hands-on experience developing and delivering projects in a consulting setting 
  • Demonstrated initiative to solve problems, handle complex work with little supervision
  • Passion for data driven decision making and demonstrated ability to solve complex ambiguous problems through meaningful analyses 
  • Demonstrated ability to work as both a team member and team leader to achieve results in a teamwork environment
  • Demonstrated ability to think strategically and ‘big picture,’ to formulate appropriate analytic solutions to solve client business needs
  • Experience working in B2C environments with hands-on experience in customer modeling and analytics[YA2] 
  • Experience with DOE/RCT and A/B and multivariate testing in a marketing or digital landscape 
  • Experience with digital marketing platforms including Google, Campaign Manager, Facebook, AdWords, SA 360, GA 360
  • Experience with Adobe set of marketing tools such as Adobe Campaign, Audience Management, Analytics 

Hands-on experience with causal econometric techniques (RDD, diff-in-diff, RCT) 

 

CORE WORK ACTIVITIES 

 

Core Responsibilities

 

  • Analyzes detailed online behavioral data, enterprise customer data, and transactions data to improve conversion rates and the profitability across Marriott’s digital marketing efforts
  • Presents analysis and reports (scheduled and ad hoc) on the effectiveness of these programs to marketing teams and senior management 
  • Partners with marketing agencies and vendors to integrate additional external data sources and broaden analysis 
  • Builds predictive statistical models to help define Marriott’s online customer acquisition and revenue generation strategies, improves online marketing program ROI, and increases hotel profit
  • Constructs test plans to quantify lift of marketing programs over a control
  • Sets up and manages program KPIs by designing and implementing comprehensive, measurable testing plans
  • Synthesizes data to translate results into KPIs for the evaluation of the efficacy of the campaign
  • Partners with Marketing leaders to support their efforts through strategic analysis, tracking performance vs. goals, providing recommendations and insights for future efforts
  • Conducts deep dive analytics relative to customer acquisition
  • Develops and presents analytical recommendations and actionable insights to disseminate findings and successful practices to key stakeholders and senior management
  • Explains complex analytics to a broad audience with varying levels of technical background and understanding
  • Provides project management support including planning, documentation, defining technical processes, prioritization, scheduling, and communications
  • Helps define technical standards for online marketing analysis and reporting data, including data acquisition, data management, and report development, distribution and maintenance
  • QA’s campaign reporting processes, analyses and data models to ensure that tracking applications are working properly and data is accurate and consistent for analysis
  • Helps monitor automated processes for delivering data to marketing systems, and assist internal and 3rd party technical teams to troubleshoot and resolve issues

 

Leadership

  • Translates high-level business problems into more specific questions which can be answered by data-driven analysis and recommendations
  • Develops innovative analytical methodologies to answer strategic questions across the organization and empower others to apply your methodology to new problems
  • Presents data with a clear point of view so insights can be used to help drive business strategy
  • Ensures all team outputs are high quality and credible for stakeholder consumption

 

The hourly pay range for this position is $71.63 to $95.58. Marriott offers a bonus program, comprehensive health care benefits, 401(k) plan with up to 5% company match, employee stock purchase plan at 15% discount, accrued paid time off (including sick leave where applicable), life insurance, group disability insurance, travel discounts, adoption assistance, paid parental leave, health savings account (except for positions based out of or performed in Hawaii), flexible spending accounts, tuition assistance, pre-tax commuter benefits, and other life and work wellness benefits. Benefits may be subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions. 

The compensation and benefits information is provided as of the date of this posting. Marriott reserves the right to modify compensation and benefits at any time, with or without notice, subject to applicable law.

 

Marriott International is an equal opportunity employer. We believe in hiring a diverse workforce and sustaining an inclusive, people-first culture. We are committed to non-discrimination on any protected basis, such as disability and veteran status, or any other basis covered under applicable law.

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Tags: Business Intelligence Consulting Data management Econometrics Economics Engineering Finance KPIs Mathematics Predictive modeling Python R Research SQL Statistics Tableau Testing

Perks/benefits: 401(k) matching Career development Equity / stock options Flex hours Flexible spending account Flex vacation Health care Insurance Parental leave Salary bonus Startup environment Team events Wellness

Region: North America
Country: United States

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