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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Analyst

Nexus Analytics
Miami
Estimated Salary
USD 95.000 – USD 140.000
Live Update
19 Juli 2026
Deadline
19 Jul 2027

Job Description

Join Nexus Analytics, a leading innovator in AI-driven data solutions, as a Senior Data Analyst. We're seeking a visionary professional to transform complex datasets into strategic business insights while enjoying full-time remote flexibility from sunny Florida. You'll collaborate with cross-functional teams to optimize operations and drive data-informed decisions in a dynamic, inclusive environment. Our competitive benefits package includes health insurance, 401(k) matching, and professional development stipends.

Responsibilities

  • Develop and maintain robust data pipelines for real-time analytics and reporting
  • Design interactive dashboards using Tableau/Power BI to visualize KPIs and trends
  • Conduct statistical analysis to identify market opportunities and operational inefficiencies
  • Partner with product teams to validate hypotheses through A/B testing and cohort analysis
  • Present findings to C-suite executives through compelling data narratives
  • Implement machine learning models for predictive analytics and forecasting
  • Ensure data integrity through rigorous quality control and validation protocols

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field (Master's preferred)
  • 5+ years of experience in data analysis or business intelligence roles
  • Advanced proficiency in SQL, Python (Pandas/NumPy), and data visualization tools
  • Experience with cloud platforms (AWS/GCP/Azure) and big data technologies
  • Strong statistical modeling skills and experimental design knowledge
  • Excellent communication skills with ability to translate technical concepts for stakeholders
  • Proven track record of driving measurable business impact through data initiatives
  • Portfolio demonstrating complex data projects with quantifiable results

Required Skills

SQL Python Tableau Power BI Statistical Analysis Machine Learning Data Visualization AWS Data Pipelines

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