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Information Technology 🏢 Full Time ⭐️ Verified

Night Shift Data Analyst

Quantum Insights Inc.
Austin, TX
Estimated Salary
USD 75.000 – USD 95.000
New
Live Update
10 Oktober 2026
Deadline
10 Okt 2027

Job Description

Join Quantum Insights Inc.'s dynamic data team as a Night Shift Data Analyst and transform raw data into strategic insights while enjoying Austin's vibrant nightlife! We're seeking a detail-oriented analyst to support our global operations during overnight hours (10 PM - 6 AM). This remote-friendly role offers competitive compensation, comprehensive benefits, and unique opportunities for professional growth in a fast-paced tech environment. Perfect for night owls who thrive in quiet, focused settings!

Responsibilities

  • Analyze complex datasets using SQL, Python, and statistical modeling to identify trends and anomalies
  • Create automated reports and dashboards in Tableau/Power BI for executive decision-making
  • Monitor data pipelines nightly, ensuring data integrity and troubleshooting issues
  • Collaborate with cross-functional teams to deliver actionable insights during handoff periods
  • Develop predictive models to optimize business operations and KPI tracking
  • Document processes and maintain data dictionaries for consistency
  • Support ad-hoc data requests with rapid turnaround during shift hours

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of experience in data analysis with night shift or remote work background
  • Expert proficiency in SQL, Python (Pandas/Numpy), and Excel/Google Sheets
  • Strong experience with data visualization tools (Tableau/Power BI)
  • Knowledge of statistical analysis and experimental design methodologies
  • Ability to work independently with minimal supervision during overnight hours
  • Excellent problem-solving skills and attention to detail
  • Strong written communication for shift handoff documentation

Required Skills

SQL Python Tableau Power BI Data Visualization Statistical Analysis ETL Processes Data Modeling Excel R Machine Learning

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