Cypress HCM · 11 hours ago
Data and Business Intelligence Associate
Cypress HCM is the world’s largest professional network, dedicated to creating economic opportunities for its members. The Data and Business Intelligence Associate will work with cross-functional partners to develop data foundations, pipelines, and visualization assets to enable data-driven decision-making for the Customer Success organization.
Human ResourcesInformation TechnologyStaffing Agency
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 our 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
Qualification
Required
Bachelor's Degree in a quantitative discipline
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 relevant academia 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
Preferred
MS or PhD in a quantitative discipline: statistics, operations research, computer science, informatics, engineering
Statistical modeling project experience with regression models, tree models
Data pipeline development experience
Experience with data modeling, ETL (Extraction, Transformation & Load) concepts, and patterns for efficient data governance
Experience on a / adjacent to a Business Intelligence team
Self-starter, able to work independently but ask for guidance when needed
Ability to speak comfortably in a variety of settings including one-on-one and in front of large groups and adapt communication style for different audiences
Nimble and comfortable with ambiguity; a track record of responding quickly to rapidly evolving opportunities