AVP/VP Marketing Data Analyst - Lead & Delivery

Wissen Technology

Boston (MA)

Sur place

USD 130 000 - 170 000

Plein temps

Il y a 2 jours
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Résumé du poste

Wissen Technology seeks a seasoned Business Analyst (AVP/VP) who will work onsite three days a week, reporting to the Delivery Lead in Marketing IT. You will drive data-centric initiatives across Java-based platforms used in digital marketing and content management.

The ideal candidate brings 7–10 years of experience, strong leadership, and hands-on data expertise to define solutions, design data models, and deliver robust production support.

Qualifications

  • Hands-on experience with relational databases and SQL development.
  • Strong leadership qualities and proactive ownership of initiatives.
  • Ability to translate data requirements into functional specs and user stories.

Responsabilités

  • Partner with tech and business stakeholders to review data needs and define solutions.
  • Translate data requirements into functional specs and user stories.
  • Analyze system workflows, data models, and integrations across Marketing platforms.
  • Perform data enquiry, analysis, and sourcing in relational databases.
  • Develop understanding of data stores, pipelines, and data consumers.
  • Use AI-enabled tools to accelerate data mapping, lineage, and profiling.
  • Respond to queries on data access, query design, and performance optimization.
  • Troubleshoot data issues and provide L3 production support as needed.
  • Modify data sourcing mechanisms to adapt to evolving requirements.

Connaissances

SQL development
Relational databases
Unix bash scripting
Python
Leadership

Outils

Sybase
PostgreSQL
Unix shell

Description du poste

Wissen Technology seeks a seasoned Business Analyst (AVP/VP) who will work onsite three days a week, reporting to the Delivery Lead in Marketing IT. You will drive data-centric initiatives across Java-based platforms used in digital marketing and content management.

The ideal candidate brings 7–10 years of experience, strong leadership, and hands-on data expertise to define solutions, design data models, and deliver robust production support.

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