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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst - Weekend Shift (Remote Options)

TechNova Analytics
San Francisco
Estimated Salary
USD 85.000 – USD 115.000
Live Update
8 Juli 2026
Deadline
8 Jul 2027

Job Description

Join TechNova Analytics as a Data Analyst on our weekend shift and drive data-driven decisions! This remote-friendly role combines weekend flexibility with impactful analysis, allowing you to transform complex datasets into actionable insights. Work collaboratively with our San Francisco-based team while enjoying the freedom to contribute from anywhere in the US. If you're passionate about uncovering trends and optimizing business strategies, this is your opportunity to excel in a dynamic, growth-oriented environment.

Responsibilities

  • Analyze large datasets to identify trends, patterns, and opportunities for business optimization
  • Create interactive dashboards and reports using SQL, Python, and visualization tools
  • Collaborate with cross-functional teams to translate data findings into strategic recommendations
  • Monitor KPIs and performance metrics, providing weekly insights to stakeholders
  • Develop automated data pipelines to ensure accuracy and efficiency of reporting
  • Present findings to leadership through clear, compelling visualizations and narratives
  • Support weekend-specific data initiatives and real-time analysis projects

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of experience in data analysis or business intelligence
  • Proficiency in SQL, Python (Pandas, NumPy), and data visualization tools (Tableau/Power BI)
  • Strong statistical analysis and problem-solving abilities
  • Experience with weekend shift schedules or flexible work arrangements
  • Excellent communication skills with ability to translate technical concepts for non-technical audiences
  • Proven track record of delivering actionable insights from complex datasets

Required Skills

SQL Python Tableau Data Visualization Statistical Analysis Business Intelligence Data Mining Weekend Shift Flexibility

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