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Information Technology 🏢 Full Time ⭐️ Verified

Night Shift Data Analyst

Nexus Analytics Group
Chicago
Estimated Salary
USD 75.000 – USD 95.000
Live Update
4 Mei 2026
Deadline
4 Mei 2027

Job Description

Join our dynamic data team as a Night Shift Data Analyst and transform raw data into actionable insights that drive business growth. This remote-friendly night shift role offers competitive compensation, flexible scheduling, and opportunities to work with cutting-edge technologies in a collaborative environment.

As a key member of our analytics division, you'll process large datasets, develop automated reporting solutions, and present findings to cross-functional teams. Our ideal candidate thrives in fast-paced environments and is passionate about leveraging data to solve complex business challenges.

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 stakeholders to define business requirements for analytics projects
  • Develop predictive models to forecast market trends and customer behavior
  • Maintain data integrity and implement data governance best practices
  • Present insights to leadership through clear visualizations and written reports
  • Support real-time monitoring systems for operational metrics

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 statistical analysis tools
  • Advanced experience with data visualization platforms (Tableau, Power BI)
  • Familiarity with cloud data platforms (AWS Redshift, Snowflake)
  • Strong problem-solving skills and attention to detail
  • Ability to work independently during night shift hours (10 PM - 6 AM)
  • Excellent communication skills for stakeholder presentations

Required Skills

SQL Python Tableau Power BI Data Visualization Statistical Analysis Predictive Modeling AWS Redshift Data Governance

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