Logo
HonorVet Technologies

Marketing Data Analyst (Deposit Products)

HonorVet Technologies, WorkFromHome

Save Job

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

#J-18808-Ljbffr