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HonorVet Technologies

Marketing Data Analyst (Deposit Products)

HonorVet Technologies, Boston, Massachusetts, us, 02298

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Title : Marketing Data Analyst (Deposit Products)

Location : Ideally local to Boston, MA, or NYC, NY. Will consider remote

Duration : 3+ month contract; Strong potential for extension / full-time hire

Notes : Power Bi SQL Python / R Marketing Data Analyst

Job Description Our client in the banking domain is seeking a Marketing Data Analyst to join their Marketing Analytics & Data Science team. This role will support strategic marketing initiatives, with a focus on deposit and lending product analytics. The position offers an exciting opportunity to contribute to data-driven decision-making and campaign optimization in a dynamic financial services environment.

Responsibilities

Analyze and interpret marketing data, with a focus on lending products

Build and maintain dashboards using Power BI and AWS QuickSight

Support campaign measurement and execution, providing actionable insights

Run queries, identify trends, and assess the effectiveness of marketing channels

Collaborate with cross-functional teams to align analytics with business goals

Communicate findings and recommendations to leadership and stakeholders

Required Experience

Minimum 3+ years of experience in marketing data and analytics

Strong understanding of digital marketing data, campaign strategy, and execution

Experience with lending product data (e.g., lending, underwriting)

Proficiency in SQL Server (query writing)

Dashboarding experience with Power BI and AWS QuickSight

Working knowledge of Python

Familiarity with Google Analytics and / or Adobe Analytics

Prior experience in financial services, preferably banking or fintech

Desired Experience

Experience in fintech or commercial banking

Exposure to Experian valuation, Axiom, or Tealium tag management

Understanding of identity graph concepts

Soft Skills

Strong communication skills with the ability to engage leadership, team members, and clients

Collaborative mindset and ability to work in a fast-paced, data-driven environment

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