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Senior Data Analyst

QuantumLeap Analytics
New York, NY (Remote Option)
Estimated Salary
USD 95.000 – USD 140.000
New
Live Update
3 September 2026
Deadline
3 Sep 2027

Job Description

Join QuantumLeap Analytics as a Senior Data Analyst and transform complex data into actionable business insights. We're a leading fintech innovator seeking a detail-oriented expert to drive data-driven decision-making across our global operations. This hybrid role offers the flexibility of remote work with occasional collaboration at our NYC headquarters. You'll work with cutting-edge tools to solve real-world challenges in fraud detection, customer behavior analysis, and market trend forecasting.

Our ideal candidate thrives in fast-paced environments and possesses a passion for uncovering hidden patterns in data. You'll collaborate with cross-functional teams including product managers, engineers, and executives to deliver strategic insights that impact millions of users. QuantumLeap offers competitive compensation, comprehensive benefits, and opportunities for professional growth in one of the industry's most dynamic environments.

Responsibilities

  • Analyze large datasets using SQL, Python, and R to identify trends and anomalies
  • Design and maintain interactive dashboards using Tableau and Power BI
  • Collaborate with stakeholders to define KPIs and track performance metrics
  • Develop A/B testing frameworks to optimize product features and marketing campaigns
  • Present complex findings to executive leadership through compelling visualizations
  • Implement data governance practices ensuring accuracy and compliance
  • Mentor junior analysts and improve team-wide data literacy

Qualifications

  • Bachelor's degree in Statistics, Mathematics, Computer Science, or related field
  • 5+ years of experience in data analysis or business intelligence
  • Expert proficiency in SQL, Python (Pandas, NumPy), and statistical modeling
  • Advanced experience with data visualization tools (Tableau, Power BI)
  • Strong knowledge of statistical methods and experimental design
  • Experience with cloud platforms (AWS, GCP, Azure) and big data tools
  • Excellent communication skills with ability to translate technical concepts
  • Portfolio demonstrating data-driven projects with measurable impact

Required Skills

SQL Python Tableau Power BI Statistical Analysis Data Visualization AWS A/B Testing

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