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Information Technology 🏢 Full Time ⭐️ Verified

Night Shift Data Analyst

DataVision Analytics
Tampa, FL
Estimated Salary
USD 75.000 – USD 95.000
Live Update
9 Juli 2026
Deadline
9 Jul 2027

Job Description

Join DataVision Analytics as a Night Shift Data Analyst and transform complex datasets into actionable business insights. This remote-friendly position offers the flexibility to work from our Tampa office or entirely remotely while supporting critical global operations during night hours. You'll be at the forefront of data-driven decision-making, collaborating with cross-functional teams to uncover trends and optimize performance.

We're seeking a detail-oriented professional passionate about leveraging data to solve real-world challenges. With competitive compensation, comprehensive benefits, and a culture that values innovation, this role is perfect for analytical minds ready to make an impact.

Responsibilities

  • Analyze large datasets to identify trends, patterns, and anomalies using SQL, Python, and statistical tools
  • Create interactive dashboards and reports using Tableau/Power BI to visualize key metrics
  • Collaborate with stakeholders to define business requirements and deliver data-driven recommendations
  • Monitor KPIs and performance metrics, providing insights for continuous improvement
  • Develop automated data pipelines to ensure data quality and accessibility
  • Present findings to leadership teams with clear, actionable insights
  • Stay current with industry trends and emerging analytics technologies

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of experience in data analysis or business intelligence
  • Proficiency in SQL, Python (Pandas, NumPy), and data visualization tools
  • Experience with cloud platforms (AWS, Azure, or GCP)
  • Strong problem-solving skills with attention to detail
  • Ability to work independently during night shift hours (10 PM - 6 AM EST)
  • Excellent communication skills for translating technical findings to non-technical audiences

Required Skills

Data Analysis SQL Python Tableau Power BI AWS Data Visualization Statistical Analysis Business Intelligence

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