Apply

Senior Customer Success Analytics Analyst

Posted 2024-11-23

View full description

💎 Seniority level: Senior, 5+ years

📍 Location: North America

💸 Salary: 84000 - 180000 USD per year

🔍 Industry: DevSecOps Software

🏢 Company: GitLab👥 1001-5000💰 $268.0m Series E on 2019-09-17🫂 on 2023-02-09Developer ToolsDevOpsOpen SourceSaaSCloud Security

🗣️ Languages: English

⏳ Experience: 5+ years

🪄 Skills: SQLData AnalysisSalesforceSnowflakeGoogle AnalyticsTableauStrategyData analysisCommunication SkillsAnalytical SkillsCollaborationAttention to detail

Requirements:
  • 5+ years of experience in a data analytics role, preferably in a B2B SaaS environment.
  • Strong expertise in data analysis, including proficiency in SQL, Excel, and data visualization tools like Tableau, Looker, or Power BI.
  • Familiarity with Snowflake, Tableau, Google Analytics, Customer Success platforms, CRM systems, and marketing automation tools.
  • Proven experience analyzing customer success metrics and digital marketing performance.
  • Ability to convey complex data insights clearly and concisely to non-technical stakeholders.
  • A passion for understanding customer needs and behaviors.
  • Proactive and solutions-oriented, with a demonstrated ability to translate data insights into practical recommendations.
  • Experience designing and analyzing A/B tests and a strong understanding of statistical analysis.
  • High accuracy in analysis and reporting, with a methodical approach to data verification.
  • Comfortable working in a fast-paced, collaborative environment.
Responsibilities:
  • Analyze One-to-Many Engagements: Assess performance metrics for one-to-many customer interactions such as webinars, workshops, and virtual events.
  • Analyze Digital Touchpoints: Gather and analyze data from digital customer engagement channels.
  • Report on Key Metrics: Develop and maintain dashboards tracking KPIs.
  • Optimize Digital Strategies: Recommend improvements based on data insights.
  • Segment Customer Engagements: Enable personalized engagements across customer lifecycle stages.
  • Forecasting and Planning: Assist in forecasting impact of engagement initiatives.
  • Enhance Automation Efforts: Collaborate to refine automation workflows.
Apply