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Marketing Specialist
Sparks, NV

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One Nevada Credit Union

Marketing Data Analytics Specialist

Job Description

Marketing Data Analytics Specialist at One Nevada Credit Union Marketing Data Analytics Specialist at One Nevada Credit Union in Sparks, Nevada Posted in 1 day ago.

Type:

full-time One Nevada Credit Union has an excellent career opportunity on our

Marketing Team:

The Marketing Data Systems & Analytics Specialist connects One Nevada Credit Union's data infrastructure with marketing intelligence needs. This role blends data systems administration and advanced analytics to deliver actionable insights that drive campaign performance, member growth, and ROI. The specialist manages marketing technology platforms, maintains integrations with core and digital banking systems, and ensures reliable, compliant marketing data. Key Responsibilities Build and maintain marketing dashboards tracking campaign performance, ROI, conversions, and cost metrics across all channels. Conduct post?campaign analysis and provide insights to optimize marketing strategies. Support A/B testing, attribution analysis, and performance reporting for leadership and the board. Develop member and non?member segmentation and propensity models to improve targeting and cross?sell. Manage CRM, e-mail marketing, and marketing automation platforms. Maintain data integrations across Jack Henry Symitar, Q2, and related systems. Ensure data quality, governance, and compliance with privacy regulations. Generate targeted campaign lists and support campaign fulfillment. Leverage AI tools to enhance analytics, reporting, and insight generation. Qualifications Bachelor's degree in Marketing Analytics, Data Science, Business Intelligence, Information Systems, or a related field. 3-5 years of data analytics experience, with at least 2 years in marketing analytics. Strong SQL skills and experience with data visualization tools (Tableau, Power BI, or similar). Experience with CRM and marketing automation platforms. Financial services or credit union experience strongly preferred. Strong analytical, communication, and organizational skills. Knowledge of data privacy and governance best practices.