Manager Marketing Analytics (Multiple Positions)

apartmentThe Prudential Insurance Company of America placeNewark calendar_month 
Research and analyze market conditions using data analytics, including descriptive and predictive data analysis and modeling. Guide junior analysts and SMEs. Create data analysis and advise on effective data driven business decisioning through development of dashboards, creation of analysis and reporting to provide ongoing insights to marketing teams.
Independently lead customer segmentation projects from building analytic tools to drive campaign optimization, business review meetings with internal clients, deriving requirements, and data analyses to final reports/presentations, communication of results and implementation support.
Define performance analytics standards, guidelines and marketing KPIs for marketing strategies, programs and measurement. Utilize advanced statistical methods to drive marketing acquisition, targeting, upsell/cross-sell readiness, lapse prediction, NPS prediction.

Measure bottom-line impact of marketing strategies by informing test design and leveraging advanced analytical tools to perform cost benefit analysis.

Telecommuting permitted up to 2 days a week.

Full time employment, Monday Friday, 40 hours per week.

MINIMUM REQUIREMENTS:

Bachelors degree in Data Science, Business Analytics, Computer Science, Engineering, Business, Economics, Statistics, Customer Intelligence and Analytics, or a related field and 5 years of progressive, post-baccalaureate related work experience; OR a Masters degree in Data Science, Business Analytics, Computer Science, Engineering, Business, Economics, Statistics, Customer Intelligence and Analytics, or a related field and 2 years of related work experience.

Of the required experience, must have 2 years of experience in all of the following:

Using SQL, Python, R or SAS for data mining and statistical trend analysis;

Using Tableau or Power BI Reporting for trend analysis and reporting using dashboards; and

Excel, including vlookup and hlookup.

Of the required experience, must have 1 year of experience in each of the following:

Using Predictive Data Modeling and Analysis using: Python or R;

Using Customer Segmentation Techniques, including statistical clustering, decision trees or KNN, to unearth underlying customer segments (including behavioral, attitudinal, demographic and financial segments) to drive targeted marketing strategies; and

Analyzing marketing data and trends in order to inform business decisioning and optimize marketing ROI.

Any suitable combination of education, training or experience is acceptable.

Telecommuting permitted up to 2 days a week.

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