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Information Technology 🏢 Full Time ⭐️ Verified

Remote Data Analyst - Night Shift

DataInsights Global
Houston
Estimated Salary
USD 75.000 – USD 95.000
New
Live Update
18 September 2026
Deadline
18 Sep 2027

Job Description

Join DataInsights Global as a Remote Data Analyst on our night shift team! We're seeking a detail-oriented professional to transform raw data into actionable insights for our Fortune 500 clients. This fully remote position offers competitive compensation, flexible scheduling, and the opportunity to work with cutting-edge analytics tools while maintaining work-life balance. Our Houston-based team collaborates globally to deliver data-driven solutions that drive business growth and innovation.

What We Offer:

  • 100% remote work with flexible night shift hours
  • Comprehensive benefits package including health insurance and 401(k)
  • Professional development budget and certifications
  • Collaborative virtual environment with regular team meetups

Responsibilities

  • Analyze complex datasets to identify trends, patterns, and anomalies
  • Create interactive dashboards and reports using Tableau/Power BI
  • Develop SQL queries to extract and manipulate large datasets
  • Collaborate with cross-functional teams to define business requirements
  • Present findings to stakeholders through clear visualizations and narratives
  • Optimize data collection processes and maintain data quality standards
  • Stay current with industry best practices and emerging 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, and data visualization tools (Tableau/Power BI)
  • Strong statistical analysis and problem-solving skills
  • Experience with ETL processes and data warehousing
  • Ability to work independently during night shift hours (10 PM - 6 AM CT)
  • Excellent communication skills with ability to translate technical concepts

Required Skills

SQL Python Tableau Power BI Data Visualization Statistical Analysis ETL Processes Data Warehousing Business Intelligence

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