Harvey Nash
Data & Business Intelligence Analyst
Harvey Nash, Sunnyvale, California, United States, 94087
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/foel75Job Title: Data & Business Intelligence AnalystLocation: Hybrid in SunnyvaleDuration: 12 Months ContractRequired Skills:SQL (Intermediate or advanced); Data Program Management; Data Visualization and Dashboard Design2+ years of experience with SQL/relational databases2+ years of business analytics experience in a medium-to-large company with demonstrated ability to navigate complex data environments and provide guidance to business leaders2+ years of experience working with large amounts of data2+ 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 Managemen t: 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.
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/foel75Job Title: Data & Business Intelligence AnalystLocation: Hybrid in SunnyvaleDuration: 12 Months ContractRequired Skills:SQL (Intermediate or advanced); Data Program Management; Data Visualization and Dashboard Design2+ years of experience with SQL/relational databases2+ years of business analytics experience in a medium-to-large company with demonstrated ability to navigate complex data environments and provide guidance to business leaders2+ years of experience working with large amounts of data2+ 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 Managemen t: 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.