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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Analyst - Immediate Hire

QuantumLeap Analytics
Los Angeles
Estimated Salary
USD 95.000 – USD 130.000
New
Live Update
1 Oktober 2026
Deadline
1 Okt 2027

Job Description

Join QuantumLeap Analytics, a leading AI-driven tech company, for an immediate Data Analyst position in our Los Angeles headquarters. We're seeking a detail-oriented professional to transform raw data into actionable insights that drive strategic decisions. This urgent opening offers a rare opportunity to join our dynamic team and make an immediate impact on cutting-edge projects.

Why Apply Now? Our Los Angeles hub is scaling rapidly due to increased demand from Fortune 500 clients. This role includes competitive equity, flexible hybrid work, and a dedicated innovation budget.

Responsibilities

  • Analyze complex datasets using SQL, Python, and R to identify trends and business opportunities
  • Create interactive dashboards in Tableau/Power BI for executive stakeholders
  • Collaborate with engineering teams to implement data pipelines and ETL processes
  • Present findings to C-suite executives through compelling visualizations and narratives
  • Optimize A/B testing frameworks for product development initiatives
  • Maintain data integrity through rigorous validation and documentation practices
  • Drive predictive modeling initiatives to forecast market behaviors

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of professional data analysis experience in tech/finance
  • Expert proficiency in SQL, Python (Pandas/NumPy), and visualization tools
  • Strong understanding of statistical methodologies and experimental design
  • Proven track record of translating insights into business strategies
  • Experience with cloud platforms (AWS/GCP/Azure) data services
  • Portfolio showcasing 3+ complex data projects with measurable outcomes

Required Skills

SQL Python R Tableau Power BI Data Visualization Statistical Analysis Machine Learning AWS A/B Testing Data Pipelines

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

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