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Marketing Data Analyst

Marketing Data Analyst

O. C. Credit UnionSanta Ana, CA, United States
30+ days ago
Job type
  • Full-time
Job description

Exciting Opportunity at Orange County's Credit Union

Local So. CA. applicants preferred (Orange County)

Marketing Data Analyst - Hybrid position

The targeted hourly rate range is $26.74 per hour to $33.42 per hour. Final offer will be determined based on experience, education, training / certifications and specialized skills.

CREDIT UNION'S PURPOSE : Simple Banking. For People, Not Profit.

CREDIT UNION'S CORE VALUES : Integrity, Service Excellence, Growth & Development, High Performance, Mutual Respect, Community, and Fun

Workplace Excellence. Through our associates' opinions and voices, Orange County's Credit Union is a proud recipient of the Peter Barron Stark Best of the Best Award for highest associate satisfaction in the workplace! As a leading financial service provider with over 80 years of experience serving 123,000+ members, Orange County's Credit Union is currently $2+ billion in assets & growing.

Generous benefits include :

  • Anthem Vivity HMO & Delta Care USA Dental - Orange County's Credit Union (OCCU) covers 100% of the associates' monthly premium
  • Life insurance at no cost to employees.
  • 401(k) - OCCU automatically contributes 3% of the employee's earnings PLUS matches up to 5% of the employee's contribution (dollar for dollar)
  • Vacation hours - 13 days per year and rolls over year to year, and increases with tenure
  • Sick hours - 7 days per year and rolls over year to year
  • Paid Holidays - 11 days per year plus 3 partial days
  • Annual performance merit increases
  • Professional and personal development programs, including educational grants up to $2k per year, and step progression opportunities
  • Annual discretionary bonus
  • Professional, friendly work environment focused on achieving goals, recognizing successes, and excelling at member service.

POSITION SUMMARY :

Under general direction and supervision, this role bridges business strategy and data, delivering insights that drive member acquisition, retention, engagement, and growth. The ideal candidate is detail-oriented, collaborative, and skilled in turning complex data into actionable business recommendations.

ESSENTIAL FUNCTIONS :

  • Partner with Marketing, Product, and Analytics teams to align business strategy with actionable data insights.
  • Analyze member behavior, product performance, and digital channel effectiveness to identify growth opportunities.
  • Build segmentation models, predictive analytics, and attribution frameworks to measure ROI and member lifetime value (LTV).
  • Deliver clear reporting and dashboards using SQL Server, Power BI, Excel, and Looker.
  • Leverage familiarity with Microsoft Azure services to support data analysis and reporting.
  • Conduct market and competitive research, focusing on financial services and Fintech trends.
  • Provide insights to support digital product launches, campaign measurement, and member engagement strategies.
  • Collaborate with IT, Data Engineering, and Compliance teams to ensure data integrity, governance, and regulatory compliance.
  • Present actionable insights and recommendations to executives and business stakeholder.

    • QUALIFICATIONS - Education & Experience :

  • Bachelor's degree in business Analytics, Statistics, Economics, Computer Science, or related field.
  • 3+ years of analytics or business analyst experience in financial services, banking, credit unions, or Fintech.
  • Strong hands-on experience with SQL Server, Power BI, Excel, and Looker.
  • Familiarity with Microsoft Azure services.
  • Experience with Tableau and Python a plus.
  • Familiarity with compliance and regulatory requirements (e.g., Reg Z, UDAAP, GLBA, data privacy standards).
  • Experience working in an Agile or fast-paced tech environment
  • Experience with Google Analytics and Google Tag Manager (GTM) a strong plus.

    • Skills & Abilities

  • Strong understanding of digital marketing analytics, funnel analysis, attribution models, and LTV.
  • Ability to translate business requirements into actionable data insights.
  • Excellent communication and presentation skills for both technical and non-technical stakeholders
  • Organized, detail-oriented, and skilled at managing time-sensitive projects.

    • We perform thorough background and credit check. EOE

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