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Information Technology 🏢 Part Time ⭐️ Verified

Data Analyst - Weekend Shift

DataDriven Solutions Inc.
San Diego
Estimated Salary
USD 28 – USD 42
New
Live Update
16 Oktober 2026
Deadline
16 Okt 2027

Job Description

Join DataDriven Solutions Inc. as a Weekend Shift Data Analyst and transform raw data into actionable business insights! We're seeking a detail-oriented professional to support our growing team with weekend availability (Saturday/Sunday). This hybrid role combines remote flexibility with occasional on-site collaboration at our modern San Diego headquarters. Enjoy competitive pay, comprehensive benefits, and the opportunity to work with cutting-edge analytics tools while maintaining a healthy work-life balance. Perfect for students, gig professionals, or those seeking supplemental income in the data science field!

Responsibilities

  • Analyze complex datasets to identify trends, patterns, and anomalies using SQL, Python, and Excel
  • Create interactive dashboards and visualizations using Tableau/Power BI for stakeholder presentations
  • Monitor weekend data pipelines and report system performance anomalies to engineering teams
  • Prepare weekly summary reports highlighting key metrics and actionable recommendations
  • Collaborate with cross-functional teams to translate business questions into analytical solutions
  • Maintain data integrity through rigorous validation and documentation processes
  • Support ad-hoc analysis requests from leadership during weekend operational hours

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field (or equivalent experience)
  • 2+ years of professional data analysis experience with SQL proficiency
  • Advanced knowledge of Excel functions and data visualization tools (Tableau/Power BI)
  • Strong Python skills with experience in Pandas, NumPy, and Matplotlib
  • Excellent problem-solving skills with attention to detail and accuracy
  • Ability to work independently during weekend shifts with minimal supervision
  • Strong written and verbal communication skills for technical and non-technical audiences
  • Experience with data cleaning, transformation, and statistical analysis techniques

Required Skills

SQL Python Excel Tableau Power BI Data Visualization Statistical Analysis Data Cleaning Dashboard Creation

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