Senior Analytics Architect at Harnham in Santa Clara, California

Posted in Other about 2 hours ago.

Type: full-time





Job Description:

Senior Analytics Architect
The Bay Area (South) - x3 days per week
Salary: $140,000 - $220,000 + Benefits

Are you a seasoned Analytics Architect, Data Solutions Architect or Data Product Architect with a passion for shaping the future of supply chain analytics? This is your opportunity to join a pioneering leader in the field of robotics within healthcare, driving innovation across their complex supply chain

The Role:

As a Senior Analytics Architect, you will lead the design and implementation of advanced analytics and data product architecture. You'll play a pivotal role in translating business requirements into scalable, efficient technical solutions. Working with ERP data (preferably SAP), you'll focus on the supply chain function, building innovative data products to drive business performance.

Key Responsibilities:
  • Collaborate with business stakeholders to identify analytics needs and develop data-driven solutions.
  • Lead the design of complex analytics solutions that address supply chain challenges.
  • Ensure seamless integration of analytics across the organization, focusing on quality, governance, and security.
  • Influence and collaborate across teams, gaining buy-in for new initiatives.
  • Manage and deliver a roadmap aligned with strategic business goals.
  • Stay on top of emerging analytics trends, ensuring solutions remain cutting-edge.

Your Experience:
  • 10+ years of experience developing analytics solutions using Snowflake, Tableau, or similar tools.
  • Hands-on experience with ERP data is preferred, ideally SAP.
  • Strong SQL knowledge, with experience writing and optimizing complex queries.
  • Expertise in data warehousing, modeling, and visualization.
  • Proven ability to influence and lead without direct authority.
  • Background in integrating advanced analytics into business processes.
  • Ideally a background in supply chain analytics

Qualifications:
  • Bachelor's or Master's degree in Computer Science, Data Science, or related field.
  • Strong communication skills with the ability to explain complex technical concepts to non-technical audiences.

Interested? Apply now to learn more about this exciting opportunity!
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