Data & Business Intelligence Analyst

Harvey Nash USA has been engaged to find a talented Data & Business Intelligence Analyst for a Large Professional Networking Client.

A reasonable, good faith estimate of the minimum and maximum hourly wage for this position is $50- $58/hr on W2 (Depending on Experience). Benefits will be available, and details are available at the following link: https://rb.gy/foel75

Job Title: Data & Business Intelligence Analyst

Location: Hybrid in Sunnyvale

Duration: 12 Months Contract

Required Skills:

• SQL (Intermediate or advanced); Data Program Management; Data Visualization and Dashboard Design
• 2+ years of experience with SQL/relational databases
• 2+ years of business analytics experience in a medium-to-large company with demonstrated ability to navigate complex data environments and provide guidance to business leaders
• 2+ years of experience working with large amounts of data
• 2+ years' experience in at least one programming languages (e.g., R, Python, Java, Scala, PHP, JavaScript)
• 2+ years of experience in data visualization and dashboard design.

Responsibilities:

• Tool and Dashboard Development: Design, develop, and maintain data tools and analytics dashboards to automate processes and provide real-time insights into customer metrics and product usage.
• Foundations and Pipeline Development

  Write scalable and efficient SQL to encode business logic and develop robust pipelines on the Client data stack.

  
  

• Data Management: Establish robust data collection, storage, and quality assurance processes to ensure the reliability and accuracy of analyses.
• Project Management: Lead data projects from inception to completion, aligning with strategic goals and ensuring delivery of measurable value to the organization.
• Cross-Functional Collaboration: Work closely with cross functional partners in customer success and adjacent teams to integrate data-driven insights into strategies and initiatives.
• Continuous Learning and Innovation

  Keep up with industry trends in data science and analytics to drive innovation and improve customer success outcomes.

  
  

Education:

• Bachelor's Degree in a quantitative discipline.