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