Data & Business Intelligence Analyst

Cypress HCM is the world’s largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. They are looking for a Data & BI Associate to provide data-driven recommendations and insights to support strategic projects across Go-to-Market Operations and to establish strong working relationships with cross-functional partners.

Responsibilities:

• Lead data-driven recommendations and insights to support strategic projects across Go-to-Market Operations
• Understand the business, track data quality, provide insights and recommendations
• Support company-wide programs through ownership of analytical projects
• Establish strong working relationships with peers in other Global Operations teams and cross-functional partners (sales leadership, finance, sales operations, systems) to achieve objectives
• Own technical implementations and documentation associated with datasets and strive for 100% accuracy
• Possibility to learn & implement advanced analytics tools/AI for optimization (e.g., Cloud hosting, Job automation, Artificial Intelligence techniques, Natural Language generation)
• Lead high-impact data cleanup efforts by applying analytical judgment to ambiguous datasets, leveraging querying and analysis tools (e.g., SQL), and establishing best-practice classification and decision frameworks to enable scalable automation
• Execute data updates directly in Salesforce and related systems, partnering with GTM Ops, Sales, and cross-functional stakeholders to validate changes while ensuring accuracy, consistency, and completeness

Requirements:

• 2-4 years of experience working with data in a business setting, including data management, process execution, operations, reporting, or analytics
• BS degree in a quantitative discipline
• Knowledge and experience of leveraging AI tools for Data/Insights research
• Familiarity with the advertising and media agency ecosystem, including agency hierarchies, multi-market coverage models, and client–agency relationships
• Ability to leverage numbers and insights to influence & drive sound decision making
• Ability to build strong partnerships and collaborate with stakeholders
• Experience with manipulating massive-scale structured and unstructured data
• Experience creating and maintaining business-critical data warehouse tables using SQL
• Experience with distributed data systems such as Hadoop and related technologies (Spark, Presto, Pig, Hive, etc.)
• Background in at least one programming language (e.g., R, Python, Java, Scala, PHP, JavaScript)
• Data analytics
• Collaboration
• Communication