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Information Technology 🏢 Full Time ⭐️ Verified

Night Shift Data Analyst

Delta Analytics Solutions
New Orleans
Estimated Salary
USD 65.000 – USD 85.000
Live Update
27 Juli 2026
Deadline
27 Jul 2027

Job Description

Join Delta Analytics Solutions as a Night Shift Data Analyst and transform raw data into actionable insights while enjoying the vibrant energy of New Orleans. This critical role supports our 24/7 operations team, ensuring data-driven decisions fuel our clients' success. We offer competitive compensation, comprehensive benefits, and a collaborative environment where your analytical skills will make a tangible impact.

Why work night shift? Enjoy quieter commutes, flexible daytime schedules, and premium shift differential pay. Plus, contribute to projects that shape industries from healthcare to finance.

Responsibilities

  • Analyze complex datasets using SQL, Python, and R to identify trends and anomalies
  • Create interactive dashboards in Tableau/Power BI for real-time operational monitoring
  • Collaborate with cross-functional teams to deliver actionable business insights
  • Automate data pipelines and ETL processes for overnight data processing
  • Develop predictive models to forecast operational outcomes
  • Document methodologies and present findings to stakeholders
  • Maintain data integrity across multiple systems and databases

Qualifications

  • Bachelor's degree in Statistics, Computer Science, or related field
  • 3+ years of data analysis experience with night shift preference
  • Proficiency in SQL, Python (Pandas, NumPy), and data visualization tools
  • Strong statistical knowledge and experimental design skills
  • Experience with cloud platforms (AWS/Azure/GCP) and ETL tools
  • Excellent problem-solving abilities and attention to detail
  • Ability to work independently in a remote overnight environment
  • Portfolio demonstrating data analysis projects is required

Required Skills

SQL Python Tableau Power BI AWS ETL Statistical Analysis Data Visualization R Predictive Modeling

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