Director of Analytics (Remote)

Job Description

Epsilon is seeking a Director of Analytics to join our Analytics Consulting Group.  The Director provides a clear, strategic analytic vision that enables effective decision making towards the achievement of our clients’ business goals. 

Our ideal candidate takes a strategic analytic approach, is solution oriented and has both breadth and depth of coverage across most digital channels.  This candidate is experienced in data driven, customer-level marketing analysis to support insights, activation, and measurement.  The Director candidate has excellent communication skills and can lead a talented team of analytic associates in the execution and delivery of our products and services.

Roles & Responsibilities

• 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
  • Support the sales process by assessing prospective clients’ needs and crafting and presenting proposals that meet those needs
  • Develop rapport and relationship of trust with key client personnel ranging from individual contributors to senior leadership
  • Explore and capitalize on opportunities to cross-sell and up-sell existing clients
• Provide leadership for overall management of analytic projects: including profitability, timeliness, quality, and client value
  • Align analytic activities to the overall business strategy when driving the direction of the team, projects, and processes.
  • 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
• Ability to tell a concise and impactful narrative of your findings. Display data visually, creating compelling presentations which demonstrate the value of analytic deliverables to client staff
• Serve as an expert on analytics including:
  • Digital analytics spanning web, mobile, email, social, and media
  • 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
• Provide developmental and managerial leadership to the Analytic Consulting Group

Qualifications:

• Bachelor’s degree in a quantitative discipline (e.g., Statistics, Economics, Mathematics, etc.)
• 8+ years of relevant professional experience conducting data analytics and 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
• Proven experience influencing a business or marketing strategy through the application and/or management of advanced statistical techniques and data driven solutions
• Solid planning, priority setting, and project management skills with experience managing multiple projects and resources concurrently
• Great at developing relationships across diverse teams (including statistical, technical, and marketing resources)
• Ability to display data visually, creating powerful presentations which effectively demonstrate the value of analytic deliverables
• Strong understanding of consumer behavior and marketing analytics
• Excellent verbal and written communication skills
• Highly motivated, collaborative, and innovative
• Hands-on experience with the following analytic methodologies, tools, and ecosystems:
  • Statistical modeling, data mining, and advanced segmentation using large marketing databases (e.g., 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:

• Master’s degree in Statistics, Economics, or other quantitative discipline
• Media insights, activation, and measurement experience a plus
• Working knowledge of Databricks and other big data analytic platform technologies
• Excellent coaching and mentoring skills