Senior Marketing Data & Insights Analyst (Onsite)

SF Fire Credit Union; San Francisco (CA); On-site; USD 107,000 - 160,000; Full time

Benefits offered by this job

401(k) Matching

Health Insurance

Dental & Vision Insurance

Bonus Program

Tuition Reimbursement

Paid Holidays & PTO

Job summary

SF Fire Credit Union in San Francisco seeks a Senior Marketing Data and Research Analyst to drive data-informed marketing strategies. You will build dashboards, conduct analyses, and deliver actionable insights to optimize member acquisition and engagement.

You will partner with the VP of Marketing and cross-functional teams, leveraging SQL, Power BI, GA4, BigQuery, and Python to craft compelling narratives and support planning and budgeting initiatives.

Qualifications

• 5+ years of experience in marketing data/analytics.
• Strong proficiency with SQL, Power BI, GA4, BigQuery and data visualization tools.
• Experience translating data into actionable marketing insights.

Responsibilities

• Develop and maintain marketing measurement frameworks and attribution models.
• Analyze marketing and member data across digital and traditional channels.
• Build dashboards and automated reporting to support performance monitoring.
• Lead market research and competitive intelligence initiatives.
• Collaborate with BI, IT, Accounting, Product, and external partners.
• Deliver executive-ready presentations with data-driven recommendations.

Skills

SQL

Power BI

GA4

BigQuery

Python

Data storytelling

Dashboarding

Marketing analytics

Education

Bachelor's degree in Statistics, Economics, Data Analytics, Data Science, Information Systems

Tools

Snowflake

Job description

SF Fire Credit Union in San Francisco seeks a Senior Marketing Data and Research Analyst to drive data-informed marketing strategies. You will build dashboards, conduct analyses, and deliver actionable insights to optimize member acquisition and engagement.

You will partner with the VP of Marketing and cross-functional teams, leveraging SQL, Power BI, GA4, BigQuery, and Python to craft compelling narratives and support planning and budgeting initiatives.