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.
Research and apply emerging data science principles and techniques to inform business decisions.
Recommend strategies for leveraging customer data across marketing, sales, and other business functions.
Design reporting frameworks that measure campaign effectiveness and operational performance.
Ensure campaigns are built to deliver statistically valid, measurable outcomes.
Build and implement trigger-based, dynamic marketing initiatives for digital channels.
Develop compelling campaign performance analyses and presentations to influence key stakeholders and improve marketing outcomes.
Provide thought leadership to enhance customer relationship marketing strategies and organizational capabilities.
Manage and improve campaign management functions, including data transfers, client engagement, promotional history, and documentation.
Evaluate and recommend new technologies to improve efficiency and campaign performance.
Mentor and support junior team members in marketing strategy, data efficiency, and presentation development.
Requirements
Bachelor’s degree in Computational/Data Science, Economics, Math, or related field; equivalent experience or certifications considered.
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).
Certifications such as SQL MCTS, Google Cloud BigQuery, or Power BI preferred.
Strong proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Visio).
Tech Stack
BigQuery
Cloud
SQL
Benefits
Comprehensive health benefits package.
Up to three weeks of paid time off in your first year.
Annual bonus plan.
401(k) with company match up to 7%.
Professional development and tuition reimbursement opportunities.
Paid volunteer time and company-sponsored volunteer events.
AAA Premier Membership.
Health & Wellness Program and Health Concierge Service.
Health, Life, Short-Term and Long-Term Disability Insurance.
Medical, Dental, and Vision plan options.
Up to 2 weeks Paid parental leave.
2+ weeks of PTO within your first year.
Paid company holidays.
Company provided volunteer opportunities + 1 volunteer day per year.
Free AAA Membership.
Continual learning reimbursement up to $5,250 per year.