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Information Technology 🏢 Full Time ⭐️ Verified

Night Shift Data Analyst

Cleveland Analytics Solutions
Cleveland, OH
Estimated Salary
USD 65.000 – USD 85.000
Live Update
1 Agustus 2026
Deadline
1 Agu 2027

Job Description

Join our dynamic data team as a Night Shift Data Analyst in Cleveland! We're seeking a detail-oriented professional to transform raw data into actionable business insights during overnight hours. This remote-friendly hybrid role supports our global operations while maintaining a local presence in Cleveland's thriving tech corridor. Enjoy competitive compensation, flexible scheduling, and the opportunity to impact strategic decision-making.

Why join us? Our collaborative environment combines cutting-edge analytics tools with real-world business challenges. As a night shift specialist, you'll become the guardian of our data integrity while working with minimal daytime interruptions.

Responsibilities

  • Analyze large datasets using SQL, Python, and R to identify trends and anomalies
  • Create automated dashboards and reports using Tableau and Power BI
  • Collaborate with cross-functional teams to define KPIs and success metrics
  • Validate data accuracy and troubleshoot inconsistencies in real-time systems
  • Present findings to leadership through concise executive summaries
  • Maintain documentation for data pipelines and analytical methodologies
  • Support overnight operational reporting for global stakeholders

Qualifications

  • Bachelor's degree in Statistics, Computer Science, or related field
  • 3+ years of experience in data analysis or business intelligence
  • Proficiency in SQL, Python (Pandas), and data visualization tools
  • Strong understanding of statistical methods and experimental design
  • Experience with cloud platforms (AWS/Azure) and ETL processes
  • Ability to work independently during overnight shifts (10 PM - 6 AM)
  • Excellent communication skills for presenting complex insights
  • Portfolio demonstrating analytical projects and data storytelling

Required Skills

SQL Python Tableau Power BI Data Visualization Statistical Analysis ETL Processes AWS Data Storytelling Excel R Business Intelligence

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