Position Description:

Provides support and performs end-to-end consulting and analytics for B2B marketing initiatives for digital and offline touchpoints. Provides digital and data analytics across on and offline channels, using SQL, SAS, R, Python, Tableau, Exact Target, Eloqua, Hadoop, Web trends, Google Analytics, Google Tag Manager, MPX, Site Catalyst, and Adobe products. Formulates and applies mathematical modeling and optimization methods to develop and interpret information to assist management with decision making, policy formulation, or managerial functions.

Primary Responsibilities:

• Optimizes channel performance and generates high quality leads for products through predictive data models.

• Provides thought leadership related to all areas of marketing data, measurement, and optimization.

• Leads measurement analytic projects that provide oversight to improve marketing performance.

• Establishes analytics frameworks for marketing initiatives.

• Analyzes and optimizes channel, campaign, and business performance.

• Collaborates with marketing teams on digital and acquisition marketing initiatives for segmenting, targeting, and/or positioning around campaigns and digital properties.

• Provides strategic solutions using in-house propriety systems.

• Manages digital capabilities for programs and User Design (UXD) research blending data.

• Enables new capabilities by providing hyper-personalized experiences.

• Analyzes information obtained from management to conceptualize and define operational problems.

• Performs validation and testing of models to ensure adequacy -- reformulating models as necessary.

• Presents the results of modeling and data analysis to management or end users.

• Collects, transforms analyzes data into meaningful insights and opportunities to drive marketing performance.

• Develops decision support software, services, or products.

• Develops and supplies optimal time, cost, or logistics networks for program evaluation, review, or implementation.

• Creates solutions that meet the requirements of the business, models the required infrastructure and points of integration, and provides the overall blueprint/roadmap for delivering solutions.

• Provides guidance, training, and coaching to other team members for performance and career development.

Education and Experience:

Bachelor’s degree (or foreign education equivalent) in Computer Science, Statistics, Information Technology, Information Systems, Mathematics, Business, Marketing, or a closely related field and five (5) years of experience as a Senior Manager, Data Analytics and Insights (or closely related occupation) building analytical models for descriptive, prescriptive and predictive analytics leveraging SAS, SQL, R, Python, Alteryx, Tableau on large data environments --- Azure, AWS, Oracle, Snowflake -- in a financial service or healthcare domain.

Or, alternatively, Master’s degree (or foreign education equivalent) in Computer Science, Statistics, Information Technology, Information Systems, Mathematics, Business, Marketing or a closely related field and three (3) years of experience as a Senior Manager, Data Analytics and Insights (or closely related occupation) building analytical models for descriptive, prescriptive and predictive analytics leveraging SAS, SQL, R, Python, Alteryx, Tableau on large data environments --- Azure, AWS, Oracle, Snowflake -- in a financial service or healthcare domain.

Skills and Knowledge:

Candidate must also possess:

• Demonstrated Expertise (“DE”) implementing, tracking, and analyzing website and user behavior; monitoring marketing campaign performance and leveraging digital analytics capabilities--- using Adobe Analytics, Google Analytics, Web trends, Content Square, Salesforce suite of solutions and server and client side tag management; and evaluating data with digital analytics capabilities including Adobe Analytics, Google tag management and expertise with Account Based Marketing (ABM), SEM, SEO, Display, Sponsored & Retargeting techniques.

• DE leading analytics and project teams responsible for delivering measurement frameworks, and data analytics and insights for owned, paid media marketing, earned, and shared channels; and presenting strategic business and analytical insights to stakeholders and senior executives to advance marketing measurement and analytical capabilities.

• DE extracting marketing, sales, and customer data for analysis using unstructured and structured data and databases using– Azure, Oracle, Snowflake, AWS, Hadoop, and Splunk; creating programmatic scripts to extract data-- using SQL, Python, and R and creating interactive dashboards using Business Intelligence (BI) tools – Domo, Tableau and PowerBI.

• DE acting as a member of a development and analytics team responsible for performing analytics product management for marketing solutions -- building systems to support marketing measurement, engaging with customers and stakeholders to determine system and business process improvement areas, creating big data products and computational analytics, developing business cases, and managing future systems and product roadmaps according to Agile methodologies using cloud based technologies ---Azure, AWS, Snowflake databases and APIs, and JIRA, Confluence, Alation and Tableau.

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