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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst (Weekend Shift) with Relocation Assistance

DataVance Analytics
Los Angeles
Estimated Salary
USD 85.000 – USD 110.000
Live Update
28 Juli 2026
Deadline
28 Jul 2027

Job Description

Join DataVance Analytics as a Weekend Data Analyst and accelerate your career with comprehensive relocation assistance! We're seeking a detail-oriented professional to transform complex datasets into actionable insights while enjoying a flexible weekend schedule. Our Los Angeles headquarters offers a dynamic environment where your analytical skills will drive strategic decisions for Fortune 500 clients. With relocation packages covering moving expenses and temporary housing, transitioning to sunny California has never been easier. This hybrid role combines remote flexibility with in-person collaboration, allowing you to thrive while maintaining work-life balance.

Responsibilities

  • Analyze large datasets using SQL, Python, and BI tools to identify trends and business opportunities
  • Create compelling data visualizations and dashboards for executive stakeholders
  • Collaborate with cross-functional teams to translate data insights into actionable strategies
  • Develop automated reporting systems to monitor key performance indicators
  • Present findings to leadership teams with clear, data-driven recommendations
  • Maintain data integrity through rigorous validation and quality control processes
  • Stay current with industry trends and emerging analytical technologies

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of professional data analysis experience with weekend shift flexibility
  • Advanced proficiency in SQL, Python (Pandas, NumPy), and data visualization tools
  • Strong statistical analysis skills with experience in hypothesis testing
  • Experience with cloud platforms (AWS, Azure, or GCP) data services
  • Exceptional communication skills for presenting complex data to non-technical audiences
  • Portfolio demonstrating 5+ completed data analysis projects
  • Ability to work independently during weekend shifts with minimal supervision

Required Skills

Data Analysis SQL Python Tableau Statistical Modeling Cloud Data Platforms Data Visualization Business Intelligence

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