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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Analyst

Nexus Analytics
San Francisco, CA
Estimated Salary
USD 130.000 – USD 170.000
Live Update
12 Agustus 2026
Deadline
12 Agu 2027

Job Description

Join Nexus Analytics and transform raw data into strategic business intelligence! We're seeking a passionate Senior Data Analyst to drive data-driven decision-making in our dynamic San Francisco headquarters. As a key member of our Data Science team, you'll leverage cutting-edge tools to uncover actionable insights that propel our product innovation and market growth. Enjoy competitive compensation, flexible work arrangements, and opportunities to shape our data culture.

Our ideal candidate thrives in fast-paced environments and possesses a blend of technical expertise and business acumen. You'll collaborate with cross-functional teams to solve complex challenges and deliver impactful visualizations that inform executive strategy. If you're ready to make an immediate impact in the heart of Silicon Valley, apply today!

Responsibilities

  • Analyze complex datasets using SQL, Python, and statistical modeling to identify trends and opportunities
  • Develop interactive dashboards using Tableau/Power BI for real-time business monitoring
  • Partner with product teams to define KPIs and track performance metrics
  • Create compelling data narratives to communicate insights to non-technical stakeholders
  • Implement A/B testing frameworks to validate hypotheses and optimize products
  • Automate reporting processes to enhance team efficiency and data accuracy
  • Mentor junior analysts and champion best practices in data governance

Qualifications

  • Bachelor's degree in Statistics, Computer Science, Economics, or related field
  • 5+ years of professional data analysis experience in tech or SaaS
  • Expert proficiency in SQL and Python (Pandas, NumPy)
  • Advanced Tableau/Power BI visualization skills
  • Strong statistical knowledge with experimental design experience
  • Proven track record translating data into business recommendations
  • Experience with cloud data platforms (AWS/GCP) and ETL pipelines
  • Exceptional communication skills with executive stakeholders

Required Skills

SQL Python Tableau Power BI Statistics Data Visualization A/B Testing ETL AWS Business Intelligence

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