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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst (Weekend Shift)

NexusTech Solutions
San Jose
Estimated Salary
USD 110.000 – USD 140.000
Live Update
28 Juli 2026
Deadline
28 Jul 2027

Job Description

Join NexusTech Solutions, a pioneering force in AI-driven analytics, as our Weekend Shift Data Analyst. This pivotal role transforms complex data into actionable business insights while enjoying a 4-day work week with competitive compensation. Located in San Jose's tech hub, you'll collaborate with cross-functional teams to optimize operations and drive innovation.

What You'll Gain: Flexible weekend schedule (Sat-Sun 8am-5pm), comprehensive health benefits, stock options, and professional development stipends. Our state-of-the-art office features collaborative workspaces and cutting-edge analytics tools.

Responsibilities

  • Design and implement data pipelines for real-time weekend transaction analysis
  • Create interactive dashboards using Tableau/Power BI for executive decision support
  • Perform statistical modeling to identify weekend customer behavior patterns
  • Collaborate with engineering teams to troubleshoot weekend system performance
  • Deliver weekly performance reports highlighting weekend operational insights
  • Automate data quality checks for weekend-generated datasets
  • Present findings to stakeholders through compelling data narratives

Qualifications

  • 3+ years experience in data analysis with weekend shift exposure
  • Proficiency in SQL, Python (Pandas), and visualization tools
  • Strong statistical knowledge (regression, hypothesis testing)
  • Bachelor's degree in Data Science, Statistics, or related field
  • Experience with cloud platforms (AWS/GCP) and ETL processes
  • Proven ability to communicate complex insights to non-technical audiences
  • Portfolio demonstrating weekend-specific analytics projects
  • Comfortable working independently during off-peak hours

Required Skills

SQL Python Tableau Power BI Statistical Modeling AWS Data Visualization ETL Processes Weekend Analytics

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