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Senior Data Analyst (Full-Time Contractor)

Posted 11 days agoViewed

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💎 Seniority level: Senior, 5 years

📍 Location: South America

🔍 Industry: Education Technology

🏢 Company: Nerdy👥 501-1000💰 $150,000,000 Post-IPO Equity over 3 years ago🫂 Last layoff over 2 years agoEducationEdTechArtificial Intelligence (AI)

⏳ Experience: 5 years

🪄 Skills: PythonSQLBusiness IntelligenceData AnalysisETLData engineeringCommunication SkillsAnalytical SkillsCollaborationData visualizationData modelingData analyticsData management

Requirements:
  • Minimum of 5 years of experience in data analytics, business intelligence, or analytics engineering roles
  • Strong proficiency in SQL and additional programming experience (e.g., Python, R, SAS, SPSS)
  • Extensive experience with BI visualization tools (e.g., Looker, Tableau, Power BI, Qlik). Specific experience with Looker development is a big plus.
  • Strong attention to detail and commitment to data accuracy and integrity
  • Demonstrated ability to define and operationalize core business metrics in partnership with stakeholders
  • Excellent analytical and problem-solving skills with the ability to interpret complex data, identify trends, generate insights, and support data-driven decision-making
  • Strong communication and collaboration skills; ability to translate technical findings into business-friendly narratives and partner effectively with senior leaders
  • Comfortable working in fast-paced, cross-functional environments, managing multiple priorities while maintaining attention to detail.
Responsibilities:
  • Own and evolve the data transformation layer
  • Design and develop the Looker semantic layer (LookML)
  • Define, document, and maintain key business metrics
  • Build and deliver insightful, high-impact analyses
  • Leverage AI and machine learning tools
  • Partner closely with senior business leaders
  • Promote self-service analytics
  • Ensure data quality and consistency
  • Collaborate cross-functionally
  • Establish and advocate for analytics best practices
  • Stay current on modern data tools and practices
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