Senior Data Analyst, Product Support

Bullhorn

Base: $100,000 - $125,000; bonus/equity: annual ta...
Not specified (assumed hybrid or remote considering industry standards).
Sql and advanced data analysis
Data warehouse environments
Modern bi and visualization platforms
Bullhorn is seeking a Senior Data Analyst for its Product Support team, focusing on transforming operational data into actionable insights to enhance service performance and customer outcomes. The ideal candidate will have a strong technical background in data analytics, particularly within SaaS environments, and a passion for continuous improvement

Job Summary

  • This role is responsible for transforming operational data into actionable insights that drive service performance, operational efficiency, and customer outcomes.
  • You will work closely with Product Support leadership, operations teams, and data engineering to design analytics frameworks, develop scalable reporting, and deliver advanced analyses.
  • Benefits eligibility effective DAY ONE including Medical, Dental, Vision, 401(k), 401(k) Match, and more.

Matching Summary

Match Score: 85

Bullhorn is seeking a Senior Data Analyst for its Product Support team, focusing on transforming operational data into actionable insights to enhance service performance and customer outcomes. The ideal candidate will have a strong technical background in data analytics, particularly within SaaS environments, and a passion for continuous improvement.

Salary

Base: $100,000 - $125,000; Bonus/Equity: annual target bonus; Benefits: comprehensive benefits package

Skills & Requirements

Must-have

  • SQL and advanced data analysis
  • data warehouse environments
  • modern BI and visualization platforms
  • analyze large operational datasets
  • Salesforce, Jira, or similar operational platforms

Nice-to-have

  • translate complex datasets into insights
  • eagerness to learn
  • continuous improvement
  • emotional intelligence and accountability

Key Requirements

  • 5+ years of experience in data analytics
  • Python or R for advanced analysis
  • experience with Snowflake, Redshift, or BigQuery
  • experience with Tableau, Power BI, or Looker
  • experience analyzing large operational datasets

Work Rights

Not specified

Tailored Resume

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