Senior Data Analyst at First Fed
Seattle, WA 98103, USA -
Full Time


Start Date

Immediate

Expiry Date

04 Nov, 25

Salary

0.0

Posted On

07 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Mathematics, Savings Accounts, Data Visualization, Python, Databases, Loans, R, Analytics, Aws, Hubspot, Sas, Azure, Data Science, Credit Cards, Business Intelligence, Customer Data, Economics, Customer Engagement, Excel, Communication Skills, Statistics, Integration, Cognos

Industry

Marketing/Advertising/Sales

Description

WHO WE ARE

First Fed is a local community bank on an exciting growth trajectory with 18 locations including 12 full-service branches in Western Washington. First Fed was recognized by the Puget Sound Business Journal as a Best Workplace and a Top Corporate Philanthropist. By popular vote, First Fed received awards for Best Bank in The Best of the Northwest, Best Banker in Readers’ Choice by Cascadia Daily News, and Peninsula Daily News named us Best Bank on the Olympic Peninsula. We also received a Best-In-State bank award from Forbes.
For over 100 years First Fed has served our customers and communities throughout the PNW. We’ve donated over $9 million to non-profit organizations in the past 8 years through our foundations, sponsorships, direct donations, and matched employee donations. Our amazing team has volunteered over 25,000 hours in the past 5 years – many by using our benefit of 3 paid volunteer days per year!
We welcome applicants from all backgrounds – our diversity makes us stronger. Join our award-winning team!

REQUIRED QUALIFICATIONS:

  • Bachelor’s degree in Business, Economics, Mathematics, Statistics, Data Science, or a related field required.
  • Minimum of 8 years of hands-on experience in customer analytics or data science, within the banking or broader financial services industry, with a proven track record of influencing customer engagement, retention, and product adoption strategies.
  • Extensive experience with data querying and manipulation tools (e.g., SQL, Excel, Python, R, SAS), especially in the context of customer segmentation, channel performance, and lifecycle analytics in regulated environments.
  • Demonstrated expertise in data visualization and business intelligence (e.g. Tableau, Power BI, Cognos or similar platforms) to deliver actionable insights to business stakeholders.
  • Proficient with cloud-based data platforms and databases (e.g. Snowflake, Azure, AWS), including integration of banking customer data across structured and unstructured sources
  • Experience with CRM platforms (specifically Salesforce and Hubspot) and customer data platforms (CDPs) to drive personalized customer experiences, marketing campaign effectiveness, and cross-sell strategies.
  • Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders.
  • Strong attention to detail and ability to work with large, complex datasets including transactional, behavioral, and engagement data from multiple banking channels.

PREFERRED QUALIFICATIONS

  • A Master’s degree or certifications degree or certifications in advanced analytics, financial analytics, or customer data platforms (e.g., CDP, CRM analytics) is preferred.
  • Experience developing or applying machine learning models or AI-driven customer analytics tools (e.g., churn prediction, next-best-offer, credit risk models) in a banking environment.
  • Familiarity with banking products and services, including savings accounts, loans, mortgages, credit cards, and digital banking platforms.

PHYSICAL REQUIREMENTS:

The work requires the ability to operate office machines and equipment, such as personal computers, printers, copying machines and telephones. The work requires the ability to communicate clearly with customers, coworkers, and others in person and on telephones. Work activities involve combinations of sitting/standing for extended periods.

How To Apply:

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Responsibilities

POSITION PURPOSE

The Customer Analytics Lead will be responsible for leveraging data and analytical techniques to understand customer behavior and drive business growth. They will work closely with cross-functional teams, including marketing, product management, and customer service, to provide actionable insights that enhance customer acquisition, retention and lifetime value.

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