Data and Business Intelligence Associate

Data and Business Intelligence Associate 16534

• Hourly pay: $55-$65/hr
• Worksite: Leading professional development and networking company (Sunnyvale, CA 94085 - Hybrid)
• W2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program, PSL
• 40 hours/week, 12 Month Assignment

A leading professional networking company seeks a Data and Business Intelligence Associate. The successful candidate will work with cross-functional partners and develop data foundations, data pipelines, data visualization assets and analysis to enable data-driven decision-making for the Customer Success organization. The company offers a great work environment!

Data and Business Intelligence Associate 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 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.

Data and Business Intelligence Associate Qualifications:

• 4+ 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.
• 4+ years of relevant industry or academia experience working with large amounts of data.
• 2+ years of experience in at least one programming language (e.g., R, Python, Java, Scala, PHP, JavaScript).
• 2+ years of experience in data visualization and dashboard design.
• Bachelor's Degree in a quantitative discipline.
• MS or PhD in a quantitative discipline: statistics, operations research, computer science, informatics, or engineering is preferred.
• Statistical modeling project experience with regression models and tree models is preferred.
• Data pipeline development experience is preferred.
• Experience with data modeling, ETL (Extraction, Transformation & Load) concepts, and patterns for efficient data governance is preferred.
• Experience on a / adjacent to a Business Intelligence team is preferred.

Shift:

• Requires onsite work multiple days per week, in line with the GBO hybrid policy.