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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst (Weekend Shift)

Nexus Analytics
San Jose
Estimated Salary
USD 95.000 – USD 125.000
New
Live Update
31 Agustus 2026
Deadline
31 Agu 2027

Job Description

Join Nexus Analytics' innovative data team as a Weekend Data Analyst! We're seeking a detail-oriented professional to transform raw data into actionable insights while enjoying a balanced weekend schedule. This role is perfect for analytical minds who thrive in focused environments and want to make an impact without traditional weekday constraints.

Why Nexus Analytics? We're a cutting-edge tech firm revolutionizing data-driven decision-making for Fortune 500 clients. Our weekend shift model offers competitive compensation, flexible scheduling, and collaborative remote work options. You'll work alongside industry experts while enjoying 3-day weekends for optimal work-life balance.

Responsibilities

  • Analyze complex datasets to identify trends, patterns, and anomalies using SQL and Python
  • Create compelling visualizations and dashboards using Tableau/Power BI for executive stakeholders
  • Develop automated reporting systems to track KPIs and business metrics
  • Collaborate with cross-functional teams to translate data insights into strategic recommendations
  • Maintain data integrity through rigorous validation and quality control processes
  • Present findings to leadership through concise, data-driven narratives
  • Optimize data pipelines for weekend batch processing workflows

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of experience in data analysis or business intelligence roles
  • Expert proficiency in SQL and Python (Pandas, NumPy)
  • Advanced skills in data visualization tools (Tableau, Power BI, or Looker)
  • Strong statistical analysis and experimental design knowledge
  • Experience with cloud platforms (AWS, Azure, or GCP) and ETL processes
  • Exceptional problem-solving abilities with attention to detail
  • Ability to work independently and deliver results in weekend-focused environment

Required Skills

SQL Python Tableau Power BI Data Visualization Statistics ETL AWS Data Cleaning Reporting

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