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AAA Mid-Atlantic

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Wilmington, DE (Hybrid)

$80K/yr – $119K/yrSenior Level5+ years expFull time

Posted 4 weeks ago

The other 99% submit and hope. You're about to do something different.

Own the data-driven direct marketing optimization across DM, email, tele, text, and web, turning insights into measurable ROI and audience reach.

Audience: Lead segmentation and targeting that informs cross-channel campaigns.
Analytics: Build data architectures and models to uncover trends and generate targeted contact lists.
Delivery: Standardize data quality and manage secure data transfers to ensure campaign effectiveness.

Responsibilities

Partner with key business stakeholders to identify opportunities to optimize marketing campaigns and develop effective targeting and segmentation strategies to maximize ROI across Direct Mail, Email, Telemarketing, Text, and Web channels.
Design, build, and automate processes that support efficient campaign execution and strategy delivery.
Develop data mining architectures, models, protocols, statistical reporting, and analytics methods to uncover trends within large datasets.
Identify and capture customer insights to determine the audiences most likely to respond to direct marketing campaigns.
Perform statistical analysis and modeling to generate targeted customer lists for marketing initiatives.
Identify data gaps and recommend new data sources to improve marketing effectiveness and expand audience reach.
Collaborate with IT and marketing developers to integrate and test new data sources, ideally within a cloud-based data warehouse environment.
Standardize customer contact data using data management tools to improve delivery rates and campaign performance.
Securely manage data transfers, including encryption, compression, and file sharing with third-party providers.
Maintain and enhance business procedures documentation and campaign management processes.

Requirements

Bachelor’s degree in Computational/Data Science, Economics, Math, or related field; equivalent experience or certifications considered.
Master’s degree preferred.
5+ years of experience working with relational data.
5+ years of direct marketing experience.
5+ years of experience using statistical analysis or analytics tools.
4+ years of SQL programming experience.
1+ year of experience in a cloud-based data warehouse environment (Google BigQuery preferred).
Strong proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Visio).
Ability to thrive in a fast-paced environment with competing priorities.
Excellent written and verbal communication skills, with the ability to interpret end-user needs.
Strong influencing skills across all levels of leadership, translating complex concepts into actionable insights.
Ability to lead campaign strategy discussions and workshops.
Strong presentation skills with experience delivering insights to leadership audiences.
Ability to mentor team members in campaign strategy and list optimization.

Nice to have

Benefits

Marketing Roles Posted (Last 30 Days)

Responsibilities

Partner with key business stakeholders to identify opportunities to optimize marketing campaigns and develop effective targeting and segmentation strategies to maximize ROI across Direct Mail, Email, Telemarketing, Text, and Web channels.
Design, build, and automate processes that support efficient campaign execution and strategy delivery.
Develop data mining architectures, models, protocols, statistical reporting, and analytics methods to uncover trends within large datasets.
Identify and capture customer insights to determine the audiences most likely to respond to direct marketing campaigns.
Perform statistical analysis and modeling to generate targeted customer lists for marketing initiatives.
Identify data gaps and recommend new data sources to improve marketing effectiveness and expand audience reach.
Collaborate with IT and marketing developers to integrate and test new data sources, ideally within a cloud-based data warehouse environment.
Standardize customer contact data using data management tools to improve delivery rates and campaign performance.
Securely manage data transfers, including encryption, compression, and file sharing with third-party providers.
Maintain and enhance business procedures documentation and campaign management processes.

Requirements

Bachelor’s degree in Computational/Data Science, Economics, Math, or related field; equivalent experience or certifications considered.
Master’s degree preferred.
5+ years of experience working with relational data.
5+ years of direct marketing experience.
5+ years of experience using statistical analysis or analytics tools.
4+ years of SQL programming experience.
1+ year of experience in a cloud-based data warehouse environment (Google BigQuery preferred).
Strong proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Visio).
Ability to thrive in a fast-paced environment with competing priorities.
Excellent written and verbal communication skills, with the ability to interpret end-user needs.
Strong influencing skills across all levels of leadership, translating complex concepts into actionable insights.
Ability to lead campaign strategy discussions and workshops.
Strong presentation skills with experience delivering insights to leadership audiences.
Ability to mentor team members in campaign strategy and list optimization.

Nice to have

Benefits