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Sutherland

Product Analyst

Sutherland

DES2 Product Analyst bridging business needs with data engineering solutions. Collaborating with stakeholders and optimizing data-driven processes in a dynamic team environment.

Posted 5/12/2026contractRemote • New Jersey • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
SQLTableau

About the role

Key responsibilities & impact
  • Bridge the gap between business needs and data engineering solutions
  • Collaborate with stakeholders to gather and analyze business requirements for data-driven projects
  • Translate complex business needs into technical specifications for the data engineering team
  • Perform ad-hoc analysis and create data visualizations to support business decisions
  • Assist in the optimization of data systems and processes for improved efficiency
  • Participate in Agile development processes and sprint planning
  • Document technical and business processes related to data systems
  • Stay current with emerging trends in data engineering and business intelligence

Requirements

What you’ll need
  • Bachelor's degree in Business, Computer Science, Information Systems, or related field
  • 3-5 years of experience in business analysis or related field
  • Strong analytical and problem-solving skills with attention to detail
  • Proficiency in SQL and experience with data manipulation techniques
  • Experience working with large datasets and complex data systems
  • Expertise in data visualization tools such as Tableau or Power BI
  • Solid understanding of business intelligence concepts and data warehouse principles
  • Project management skills and experience with Agile methodologies
  • Knowledge of data engineering principles and practices
  • Ability to work collaboratively in a fast-paced, team-oriented environment
  • Strong organizational skills and ability to manage multiple projects simultaneously.

Benefits

Comp & perks
  • Employees can work remotely

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
SQLdata manipulation techniquesdata visualizationTableauPower BIdata engineering principlesdata warehouse principlesbusiness analysisdata systems optimizationad-hoc analysis
Soft Skills
analytical skillsproblem-solving skillsattention to detailproject management skillscollaborationorganizational skillsability to manage multiple projectscommunication skillsteam-orientedadaptability