Trellix

Senior Data Analyst

Trellix

full-time

Posted on:

Location Type: Remote

Location: Remote • California • 🇺🇸 United States

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Job Level

Senior

Tech Stack

BigQueryCloudNumpyPandasPythonSQLTableau

About the role

  • Design, develop, and maintain advanced, user-centric dashboards and analytical tools in Google Looker.
  • Architect and build the foundational data structures, reporting, and dynamic analysis capabilities for core SaaS metrics.
  • Perform ad-hoc and deep-dive analyses to identify trends, uncover opportunities, and provide actionable recommendations.
  • Collaborate closely with the Enterprise Technology and Operations (ET&O) team to query, shape, and model data within cloud data warehouse.
  • Partner with ET&O team to prepare, clean, and structure datasets for use in AI and machine learning models.
  • Develop AI-driven predictive churn modeling to guide strategic customer engagement.
  • Partner with Sales Operations to enhance existing customer 360 and whitespace dashboards.

Requirements

  • 5-7+ years of experience in a data analytics, business intelligence, or a related role.
  • Expert-level proficiency in SQL, with proven experience writing complex queries, window functions, and performance tuning against large, complex datasets.
  • Demonstrated mastery of a major BI platform (e.g., Looker, Tableau, Power BI), with the ability to build sophisticated and user-friendly dashboards from the ground up.
  • Hands-on experience working with cloud-native data warehouses such as Google BigQuery or Snowflake.
  • Proficiency in a scripting language like Python (with libraries like Pandas, NumPy) or R for data analysis and automation.
  • Proven experience building analytics and dashboards specifically focused on customer retention and renewal rates.
  • Experience preparing and exploring datasets for AI or machine learning applications.
  • A strong understanding of business operations and SaaS metrics, with a proven ability to connect data analysis to real-world business impact.
Benefits
  • Retirement Plans
  • Medical, Dental and Vision Coverage
  • Paid Time Off
  • Paid Parental Leave
  • Support for Community Involvement

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
SQLdata analyticsbusiness intelligencedata analysispredictive modelingPythonRdata visualizationperformance tuningdata preparation
Soft skills
collaborationcommunicationproblem-solvinganalytical thinkingstrategic thinking
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