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Marketing Analytics and Data Lead

Location : Wayne, PA
Job Type : Direct
Reference Code : 1903034
Hours : Full Time
Required Years of Experience : 5+
Required Education : BS
Travel : No
Relocation : No
Job Industry : Financial Sevices

Job Description :


This position will develop and manage reporting, analysis and predictive modeling within the Marketing function and deliver data-driven recommendations to improve business results.
This requires a strong analytical background in development and use of statistical modeling with an ability to communicate metrics and recommendations to C-level  audience in non-technical fashion.


· Highlight the business applications of predictive models and implement statistical processes

· Serve as SME for all modeling and data activities and processes within Marketing

· Maintain and enhance existing predictive models and create new models as needed

· Run models,verify assumptions and check diagnostics to increase accuracy and ensure suitability

· Provide actionable recommendations based on statistical analysis

· Deliver reporting to CMO on Sales, Assets, & Marketing activities by sales channel

· Provide answers to ad-hoc data requests going beyond simply providing data

· Verify model accuracy and application and check diagnostics to ensure assumptions are being met

· Identify opportunities to automate or improve existing manual processes  

· Deliver regular reports and dashboards to Marketing personnel and leadership

Required Qualifications :


· 5+ years’ experience in delivering analytic processes and solutions in large corporate environment

· Hands-on expertise with statistical modeling including linear and logistic regression models

· High proficient in statistical languages; (i.e., R, SQL Python, SAS)

· Ability to pull and join data from multiple sources such as: Marketo, Salesforce and data warehouse

·  Subject matter expert on data platforms and how those platforms interact

·  Interpret and communicate model assumptions and coefficients to non-technical audience

·  Act as the go-to resource within Marketing for all data related questions

·  Look for opportunities to add new variables to increase model accuracy

·  Bachelor’s degree in Statistics, Mathematics or related technical or quantitative  area

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