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Information Technology 🏢 Full Time ⭐️ Verified

Night Shift Data Analyst

DataInsights Solutions
Kansas City
Estimated Salary
USD 65.000 – USD 80.000
New
Live Update
15 September 2026
Deadline
15 Sep 2027

Job Description

Join our dynamic analytics team as a Night Shift Data Analyst and transform raw data into actionable business intelligence. This remote-friendly position offers the flexibility of night hours while working with cutting-edge technologies to drive data-driven decisions for our Fortune 500 clients. You'll collaborate with cross-functional teams to solve complex challenges and deliver impactful insights that shape strategic initiatives.

We offer competitive compensation, comprehensive benefits including health insurance and 401(k) matching, and opportunities for professional growth through our continuous learning programs. Our modern downtown Kansas City office provides a collaborative environment with flexible work arrangements.

Responsibilities

  • Analyze large datasets using SQL, Python, and R to identify trends and business opportunities
  • Create interactive dashboards and visualizations using Tableau and Power BI
  • Develop automated reporting systems to track KPIs and performance metrics
  • Collaborate with stakeholders to translate business requirements into data solutions
  • Ensure data integrity through quality checks and validation protocols
  • Present findings to leadership through clear, concise reports and presentations
  • Stay updated with industry best practices in data analytics and visualization

Qualifications

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

Required Skills

SQL Python Tableau Power BI Data Visualization Statistical Analysis ETL Data Warehousing AWS

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