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Night Shift Data Analyst - Tech Innovators

Tech Innovators Inc.
San Diego, CA
Estimated Salary
USD 85.000 – USD 120.000
New
Live Update
19 September 2026
Deadline
19 Sep 2027

Job Description

Join Tech Innovators Inc., a leading data-driven technology company, as a Night Shift Data Analyst. We're seeking a detail-oriented professional to transform raw data into actionable insights during our overnight operations. Enjoy premium benefits, flexible scheduling, and work with cutting-edge analytics tools in a collaborative environment.

Why Tech Innovators? We offer competitive compensation, comprehensive health benefits, professional development stipends, and a culture that values work-life balance. Our San Diego campus features state-of-the-art facilities and a vibrant team culture.

Responsibilities

  • Analyze complex datasets using SQL, Python, and R to identify trends and opportunities
  • Create interactive dashboards using Tableau and Power BI for real-time monitoring
  • Collaborate with cross-functional teams to deliver data-driven recommendations
  • Automate reporting processes using ETL tools and scripting languages
  • Ensure data integrity through rigorous validation and quality control measures
  • Present findings to stakeholders through compelling visualizations and narratives
  • Support 24/7 operations by providing overnight data analysis and troubleshooting

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of professional data analysis experience with SQL proficiency
  • Strong programming skills in Python (Pandas, NumPy) and R
  • Expertise in data visualization tools (Tableau, Power BI, D3.js)
  • Experience with ETL processes and cloud platforms (AWS, Azure, GCP)
  • Ability to work independently during overnight shifts with minimal supervision
  • Excellent problem-solving skills and attention to detail
  • Strong communication skills for translating technical concepts to stakeholders

Required Skills

SQL Python R Tableau Power BI AWS Data Visualization ETL Statistics Machine Learning

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