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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst

Nexus Analytics
San Francisco
Salary Estimate
USD 95.000 – USD 130.000
Live Update
31 Mei 2026
Deadline
31 Mei 2027

Job Description

Join Nexus Analytics as a Data Analyst and transform raw data into actionable business insights. We're seeking a curious, detail-oriented professional to drive data-driven decision-making across our fast-growing fintech platform. This hybrid role offers the flexibility to work remotely 3 days/week while collaborating with our innovative team at our downtown San Francisco headquarters.

You'll leverage cutting-edge tools to uncover trends, optimize processes, and present findings to executive stakeholders. We offer competitive compensation, comprehensive health benefits, and a commitment to professional growth through our annual tech stipend and conference budget.

Responsibilities

  • Analyze complex datasets using SQL and Python to identify business opportunities and risks
  • Create compelling data visualizations using Tableau and Power BI for executive presentations
  • Collaborate with product teams to define KPIs and track performance metrics
  • Develop automated reporting dashboards to monitor key business metrics
  • Conduct A/B tests and statistical analysis to optimize product features
  • Present findings to cross-functional stakeholders with clear, actionable recommendations
  • Maintain data integrity through rigorous validation and quality checks

Qualifications

  • Bachelor's degree in Statistics, Mathematics, Computer Science, or related field
  • 3+ years of experience in data analysis or business intelligence roles
  • Expert proficiency in SQL and experience with large datasets (10M+ rows)
  • Strong knowledge of Python (Pandas, NumPy) and R for statistical analysis
  • Advanced skills in data visualization tools (Tableau, Power BI, or Looker)
  • Experience with cloud platforms (AWS, GCP, or Azure) and data warehousing
  • Excellent communication skills with ability to translate technical concepts
  • Portfolio demonstrating impactful data-driven projects

Required Skills

SQL Python Tableau Power BI Data Visualization Statistics Excel AWS Data Warehousing A/B Testing

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