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Senior Director of Analytics

Posted on Apr 5, 2021 by Publicis Health

Irving, TX 75014
Research
Immediate Start
Annual Salary
Full-Time


Our ideal candidate takes a strategic analytic approach, is solution oriented and has both breadth and depth of coverage across all digital channels, especially media. This candidate is experienced in data driven, customer-level marketing analysis to drive omnichannel insights, activation, and measurement. The SDA candidate has excellent communication skills and can lead a talented team of analytic associates in the execution and delivery of our products and services.
In addition to working on high visibility accounts, the Senior Director of Analytics will work cross-functionally with our internal sales, account management, creative, strategy, tech, database, and project management teams.


Roles & Responsibilities:


Be the single point person for the client representing Epsilon Analytics. Provide leadership for overall management of analytic projects: including profitability, timeliness, quality, and client value
Demonstrates an ability to think outside the box and take initiative upon themselves to solve problems as they arise
Manage the multiple resources and projects concurrently towards successful completion
Collaborate with internal and external stakeholders to understand the client's business situation and develop data driven analytic solutions and insights to drive marketing strategies
Develop rapport and relationship of trust with key client personnel ranging from individual contributors to senior leadership
Align analytic activities to the overall business strategy when driving the direction of the team, projects, and processes.
Ability to tell a concise and impactful narrative of your findings. Display data visually, creating powerful presentations which effectively demonstrate the value of analytic deliverables to client staff including senior leadership
Serve as an expert on analytics including:
Digital analytics spanning web, mobile, email, social, and especially media
Omnichannel measurement solutions including measurement frameworks, reporting, dashboards, attribution
Descriptive analytics as well as advanced predictive and prescriptive analytics
Ability to organize and mine large sets of first- and third-party data to drive insights, activation, measurement, and attribution


Qualifications:


Bachelor's degree in a quantitative discipline
10 years of relevant professional experience conducting data analytics and experience being a key point of contact for one or more concurrent client relationships.
5+ years proven managerial or supervisory experience with excellent coaching and mentoring skills
5+ years of experience selling in technology products or services and managing resourcing for delivery
Ability to think strategically and big picture', formulate appropriate analytic solutions to solve business needs and experience successfully selling them into clients
Highly motivated, collaborative team player with excellent leadership, communication, and interpersonal skills:
Good at developing relationships across diverse teams
Exhibits confidence and command when presenting to all internal and external audiences.
Communicate effectively with direct manager, upper management, and clients; synthesizes relevant information on key milestones, success criteria, and risks
Hands-on experience with most if not all the analytic methodologies, tools, and ecosystems below:
Statistical modeling, data mining, and advanced segmentation using large marketing databases (eg, Oracle, Netezza, Hadoop etc.)
Experience with CDPs (Customer Demand Platforms) and data driven marketing approaches
Core analytical tools such as SQL, SAS, R, Python
Data visualization tools such as Tableau or Power BI
Advanced level user of Microsoft tools: Excel and PowerPoint


Desirable Qualifications:


Advanced degree (Master's/PhD) in Statistics, Economics, or other quantitative discipline. Master's in Business Administration.
Media insights, activation, and measurement experience a plus
Working knowledge of Databricks and other big data analytic platform technologies
Familiarity with Marketing Machine Learning (MML) solutions
Excellent coaching and mentoring skills




Reference: 1152694670

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