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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst (Weekend Shift)

DataDriven Solutions Inc.
Fresno, CA
Estimated Salary
USD 65.000 – USD 85.000
New
Live Update
29 September 2026
Deadline
29 Sep 2027

Job Description

Join our dynamic team as a Weekend Data Analyst in Fresno, CA! This full-time role offers the perfect work-life balance with a Saturday-Sunday schedule, allowing you to enjoy weekdays while advancing your career. We're seeking a detail-oriented professional to transform complex datasets into actionable business insights.

Our state-of-the-art analytics hub provides cutting-edge tools and collaborative environment. Enjoy competitive compensation, comprehensive benefits package, and opportunities for professional growth in a rapidly expanding data-driven organization.

Responsibilities

  • Analyze large datasets using SQL, Python, and statistical tools to identify trends and opportunities
  • Create interactive dashboards and visualizations using Tableau/Power BI for executive stakeholders
  • Develop automated reporting systems to monitor KPIs and business performance metrics
  • Collaborate with cross-functional teams to translate data findings into strategic recommendations
  • Maintain data integrity through quality control processes and documentation
  • Present complex insights through clear, concise reports and presentations

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 visualization tools (Tableau/Power BI)
  • Strong statistical analysis and problem-solving skills
  • Experience with ETL processes and data warehousing concepts
  • Excellent communication skills with ability to translate technical insights for non-technical audiences
  • Ability to work independently and manage multiple projects in a fast-paced environment

Required Skills

SQL Python Tableau Power BI Data Visualization Statistical Analysis ETL Data Warehousing

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