Position Title: Marketing Data Specialist II
REPORTS TO: SVP Marketing and Community
JOB STATUS: Non-Exempt
JOB GRADE: 11
JOB GRADE 11: $26.23 - $32.79 Targeted Hourly Rate
JOB SUMMARY:
This role is responsible for architecting, maintaining, and analyzing the data platforms that power credit union marketing decisions-across digital, traditional, and partner channels. Insights of this role directly influence campaign strategies, member acquisition, and product development. Responsible for synthesizing complex data sets, performing advanced statistical analyses, and presenting actionable recommendations to stakeholders across departments. Works closely with Marketing and Member Services to optimize targeting, measure effectiveness, and support data-driven decision-making.
All employees of State Employees Credit Union are proactive, result driven, and fully committed to the Credit Union's mission and vision. They strive to achieve the highest standards of excellence and consistently exceed the expectations established by Credit Union Management.
Duties/Responsibilities:
- Design, implement, and manage data architecture to support marketing initiatives.
- Analyze large datasets to uncover trends in member acquisition, product usage, and campaign ROI.
- Demonstrate key marketing KPIs (e.g., Cost-per-Lead, Member Lifetime Value, etc.) and track performance against targets.
- Aid in product analysis and development.
- Partner with campaign managers, product owners, and external vendors to optimize marketing initiatives.
- Implement data-validation processes to ensure accuracy, consistency, and compliance.
- Develop data dashboards and insights.
- Produce monthly, quarterly, annual, and ad-hoc reports.
- Document data flows, pipeline logic, and reporting standards.
- Monitor trends in member acquisition, engagement, retention, and product penetration to identify growth opportunities.
- Provide forecasts, projections, and scenario modeling to support annual marketing planning and strategic initiatives.
- Maintain documentation of data definitions,