Senior Data Consultant

Marlton, NJ, US • Posted 9 days ago • Updated 2 days ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Business Data
  • Reporting
  • Artificial Intelligence
  • Analytics
  • Communication
  • Collaboration
  • Problem Solving
  • Conflict Resolution
  • Analytical Skill
  • Amazon Web Services
  • Microsoft Azure
  • Google Cloud
  • Google Cloud Platform
  • Generative Artificial Intelligence (AI)
  • Productivity
  • SQL
  • Database Administration
  • Computer Science
  • Cloud Computing
  • Data Engineering
  • Extract
  • Transform
  • Load

Summary

About the Role

As a Data Solutions Consultant, you will play a key role supporting multiple initiatives for enterprise and global customers. This role sits at the intersection of business, data, and technology, working closely with client stakeholders to turn complex requirements into scalable, cloud-based data solutions.

You'll be responsible for gathering business requirements, defining and implementing data models, designing data pipelines, and ensuring insights are delivered to stakeholders in a clear, efficient, and impactful way. The work is performed in a modern cloud environment, leveraging AI-driven tools to improve productivity and accelerate outcomes.

Key Responsibilities
  • Partner with client stakeholders to gather, clarify, and translate business requirements
  • Define and implement robust data models using a Medallion architecture
  • Design and develop scalable, cloud-based data pipelines
  • Build optimized, user-friendly reporting and analytics solutions
  • Ensure data is accessible, reliable, and actionable for business stakeholders
  • Contribute to innovative, AI-enabled approaches to data and analytics delivery

Requirements
  • Bachelor's degree in Computer Science, Engineering, or a related field
  • 2+ years of hands-on experience delivering Data & Analytics projects in cloud environments
  • Strong communication and collaboration skills with both technical and business stakeholders
  • Strong problem-solving and analytical capabilities
  • Proven experience designing and implementing data models in cloud-based environments
    (AWS, Azure, or Google Cloud Platform)
  • Experience using generative AI tools to improve productivity and extract insights
  • Strong SQL skills and solid understanding of database management systems

Preferred Qualifications
  • Master's degree in Computer Science, Engineering, or a related field
  • Cloud or data engineering certifications
  • Experience developing ETL pipelines using dbt
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90984190
  • Position Id: 87557866ae24daac694d4bca0fbed15
  • Posted 9 days ago
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