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Information Technology 🏢 Full Time ⭐️ Verified

Night Shift Data Analyst

Nexus Analytics Inc.
San Diego
Estimated Salary
USD 85.000 – USD 110.000
Live Update
3 Mei 2026
Deadline
3 Mei 2027

Job Description

Join our dynamic night team as a Data Analyst at Nexus Analytics Inc. in sunny San Diego! This full-time role offers the flexibility of a night schedule while working with cutting-edge data to drive business decisions. We're seeking a detail-oriented professional who thrives in after-hours environments to transform complex datasets into actionable insights. Enjoy competitive compensation, comprehensive benefits, and the unique opportunity to collaborate with global teams during optimal work hours. If you're passionate about data and prefer working when the city sleeps, this is your chance to excel in a supportive, innovative setting.

Responsibilities

  • Analyze large datasets using SQL, Python, and BI tools to identify trends and opportunities
  • Create automated dashboards and reports for real-time business monitoring
  • Collaborate with cross-functional teams during handover periods to ensure data accuracy
  • Develop predictive models to forecast market trends and performance metrics
  • Optimize data pipelines for efficiency and reliability during off-peak hours
  • Present findings to stakeholders through clear visualizations and executive summaries
  • Maintain data integrity and implement quality control protocols

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of experience in data analysis with night shift or flexible schedule background
  • Proficiency in SQL, Python (Pandas/NumPy), and visualization tools (Tableau/Power BI)
  • Strong statistical analysis and hypothesis testing capabilities
  • Experience with ETL processes and data warehousing
  • Ability to work independently with minimal supervision during night hours
  • Excellent communication skills for handover documentation and stakeholder updates
  • Knowledge of cloud platforms (AWS/Azure) preferred

Required Skills

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

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