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Information Technology 🏢 Full Time ⭐️ Verified

Night Shift Data Analyst

QuantumLeap Analytics
Philadelphia
Estimated Salary
USD 85.000 – USD 110.000
New
Live Update
18 September 2026
Deadline
18 Sep 2027

Job Description

Join QuantumLeap Analytics, a leading tech innovator, as a Night Shift Data Analyst in Philadelphia! We're seeking a detail-oriented professional to transform raw data into actionable insights while our global markets sleep. This critical role supports our 24/7 operations by ensuring real-time data integrity and strategic decision-making. Enjoy competitive compensation, flexible scheduling, and opportunities to work with cutting-edge technologies in a collaborative, high-growth environment.

Responsibilities

  • Analyze complex datasets to identify trends, anomalies, and business opportunities
  • Create automated reporting dashboards using SQL, Python, and Tableau for global stakeholders
  • Monitor data pipelines overnight to ensure accuracy and resolve data quality issues
  • Collaborate with cross-functional teams to translate business needs into technical solutions
  • Develop predictive models to forecast market behaviors and operational metrics
  • Document data processes and maintain comprehensive data dictionaries
  • Present findings to leadership teams during morning handover briefings

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of experience in data analysis with night shift or 24/7 environment
  • Advanced proficiency in SQL and at least one scripting language (Python/R)
  • Expert knowledge of data visualization tools (Tableau, Power BI, or Looker)
  • Experience with cloud platforms (AWS, Azure, or GCP) and ETL processes
  • Strong problem-solving skills with attention to detail
  • Ability to work independently during overnight hours with minimal supervision
  • Excellent communication skills for cross-team collaboration

Required Skills

SQL Python Tableau Data Visualization ETL Processes Predictive Modeling AWS Azure Statistical Analysis

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