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Urgent Night Shift Data Analyst - Cleveland, OH

InnovateData Solutions
Cleveland
Estimated Salary
USD 85.000 – USD 110.000
New
Live Update
12 Oktober 2026
Deadline
12 Okt 2027

Job Description

Join our dynamic analytics team as an Urgently Night Shift Data Analyst in Cleveland, OH! We're seeking a detail-oriented professional to transform raw data into actionable insights during night hours. This critical role offers competitive compensation, equity options, and the opportunity to drive data-driven decisions in a fast-paced environment. Ideal for night owls who thrive in focused, uninterrupted analytical work.

Why You'll Love This Role: Collaborate with cross-functional teams, leverage cutting-edge tools, and contribute directly to high-impact projects. Our night shift schedule allows for enhanced focus while maintaining work-life balance with daytime availability for personal commitments.

Responsibilities

  • Analyze complex datasets using SQL, Python, and R to identify trends and business opportunities
  • Create and maintain automated dashboards in Tableau/Power BI for real-time reporting
  • Collaborate with stakeholders to define KPIs and success metrics
  • Develop data pipelines and ETL processes for night-shift data collection
  • Present findings to leadership teams through clear visualizations and narratives
  • Ensure data integrity across systems during off-peak hours
  • Support ad-hoc analysis requests with rapid turnaround

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of experience in data analysis or business intelligence
  • Expert proficiency in SQL and at least one programming language (Python/R)
  • Advanced knowledge of data visualization tools (Tableau/Power BI)
  • Strong experience with statistical modeling and hypothesis testing
  • Proven ability to work independently during night shifts
  • Excellent written and verbal communication skills
  • Experience with cloud platforms (AWS/Azure) preferred

Required Skills

SQL Python R Tableau Power BI Statistical Analysis Data Visualization ETL Processes AWS Azure

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