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Information Technology 🏢 Full Time ⭐️ Verified

Urgently Hiring: Data Analyst (Night Shift) - Remote

TechNova Analytics
San Jose, CA
Estimated Salary
USD 95.000 – USD 130.000
Live Update
16 Juli 2026
Deadline
16 Jul 2027

Job Description

Join TechNova Analytics as a Data Analyst on our urgent night shift opening! We're seeking a remote professional to transform complex data into actionable insights. This role offers competitive compensation, flexible remote work, and the opportunity to impact strategic decisions. Perfect for night owls who thrive in quiet, focused environments.

Why TechNova? We're a fast-growing data intelligence firm committed to innovation. Our night shift team enjoys premium compensation, flexible scheduling, and career growth opportunities. Work from anywhere while collaborating with industry experts.

Responsibilities

  • Analyze large datasets to identify trends, anomalies, and business opportunities
  • Create interactive dashboards using Tableau/Power BI for executive reporting
  • Develop automated data pipelines using SQL and Python for real-time insights
  • Collaborate with cross-functional teams to define KPIs and reporting frameworks
  • Present findings to stakeholders through clear visualizations and documentation
  • Monitor data quality and implement continuous improvement processes
  • Support ad-hoc analysis requests with rapid turnaround solutions

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years experience in data analysis with night shift or flexible hours background
  • Expert proficiency in SQL, Python (Pandas, NumPy), and Excel
  • Advanced skills in data visualization tools (Tableau/Power BI)
  • Strong statistical analysis and hypothesis testing abilities
  • Experience with cloud platforms (AWS, GCP, or Azure)
  • Excellent communication skills for translating technical insights
  • Proven ability to work independently in remote environments

Required Skills

SQL Python Tableau Power BI Data Visualization Statistical Analysis AWS Excel Data Pipelines Business Intelligence

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