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Data & Business Intelligence Analyst

Cypress HCM

full-remotemiddataproduct-management United States Yesterday via LinkedIn

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Tags

Data AnalysisBusiness IntelligenceSQLSalesforceData QualityAnalyticsAINatural Language GenerationCloudStakeholder Management

About the role

Role: Data & Business Intelligence Analyst (Data & BI Associate)

Fully remote in most locations within the country of employment (United States).

Responsibilities

  • Deliver data-driven recommendations and insights to support strategic projects across Go-to-Market (GTM) Operations.
  • Understand business needs, monitor data quality, and provide actionable insights and recommendations.
  • Own analytical projects that support company-wide programs.
  • Collaborate with peers and cross-functional partners (sales leadership, finance, sales operations, systems/IT).
  • Implement and document dataset-related technical work, striving for 100% accuracy.
  • Lead high-impact data cleanup for ambiguous datasets using analytical judgment.
  • Apply querying and analysis (e.g., SQL) and establish best-practice classification/decision frameworks to enable scalable automation.
  • Execute data updates directly in Salesforce and related systems; partner with GTM Ops and Sales to validate accuracy, consistency, and completeness.
  • Explore advanced analytics and AI optimization opportunities (e.g., cloud hosting, job automation, AI techniques, natural language generation).

Basic Qualifications

  • 2–4 years of experience working with data in a business setting (data management, process execution, operations, reporting, or analytics).

Preferred Qualifications

  • BS degree in a quantitative discipline.
  • Experience leveraging AI tools for data/insights research.
  • Familiarity with advertising/media agency ecosystems (agency hierarchies, multi-market coverage, client–agency relationships).
  • Ability to use quantitative insights to influence decisions.
  • Ability to collaborate effectively with stakeholders.
  • Experience manipulating large-scale structured and unstructured data.
  • Experience creating and maintaining data warehouse tables using SQL.
  • Experience with distributed data systems (e.g., Hadoop, Spark, Presto, Pig, Hive).
  • Programming experience in at least one language (e.g., R, Python, Java, Scala, PHP, JavaScript).

Compensation

  • $49.21/hr – $58.05/hr (W2/Non-Exempt), rate dependent on location.

About Cypress HCM

Cypress HCM appears to be affiliated with a large professional network platform whose products help members connect, discover opportunities, build skills, and gain career insights. The role focuses on creating economic opportunity for the global workforce through data-driven operations and analytics across go-to-market initiatives.

Scraped 4/4/2026

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