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Night Shift Data Analyst

Insight Analytics Group
Miami, FL
Estimated Salary
USD 65.000 – USD 85.000
Live Update
13 Juli 2026
Deadline
13 Jul 2027

Job Description

Join our award-winning data team as a Night Shift Data Analyst and transform raw data into actionable business intelligence. We're seeking a detail-oriented professional to support our global operations during overnight hours while enjoying Miami's vibrant nightlife and flexible daytime schedules. This role offers remote-friendly options with mandatory on-site collaboration twice monthly. You'll work with Fortune 500 clients across healthcare, finance, and e-commerce sectors, leveraging cutting-edge tools to drive data-driven decisions.

Why Join Us?

  • Competitive salary + performance bonuses
  • Comprehensive health benefits (day 1)
  • Tuition reimbursement for advanced certifications
  • State-of-the-art tech stack (Snowflake, Power BI, Python)
  • Clear career path to Senior Data Scientist

Responsibilities

  • Analyze complex datasets using SQL and Python to identify market trends and operational inefficiencies
  • Create interactive dashboards in Tableau/Power BI for executive decision-making
  • Collaborate with cross-functional teams to define KPIs and reporting frameworks
  • Validate data integrity and implement automated quality checks
  • Present findings to stakeholders through compelling data narratives
  • Maintain documentation for data pipelines and analytical methodologies
  • Support A/B testing initiatives for product optimization

Qualifications

  • Bachelor's degree in Statistics, Computer Science, or related field
  • 3+ years experience in data analytics or business intelligence
  • Proficiency in SQL (advanced joins, window functions, CTEs)
  • Expertise in data visualization tools (Tableau/Power BI)
  • Strong knowledge of statistical analysis and hypothesis testing
  • Experience with ETL processes and data warehousing
  • Ability to thrive in autonomous, overnight work environment
  • Certification (e.g., Google Data Analytics, Microsoft BI) preferred

Required Skills

SQL Python Tableau Power BI Data Visualization Statistical Analysis ETL Processes Data Warehousing A/B Testing

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