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Information Technology 🏢 Part Time ⭐️ Verified

Data Analyst (Weekend Shift)

DataDriven Analytics Inc.
Chicago
Estimated Salary
USD 65.000 – USD 85.000
Live Update
16 Juli 2026
Deadline
16 Jul 2027

Job Description

Join DataDriven Analytics Inc. as a Weekend Data Analyst and transform raw data into strategic insights that drive business growth. This unique part-time opportunity allows you to leverage your analytical skills while enjoying a flexible weekend schedule in Chicago's dynamic tech scene. We're seeking a detail-oriented professional who thrives in data-driven environments and is passionate about uncovering hidden patterns in complex datasets.

Why Work With Us?

  • Competitive compensation with performance-based bonuses
  • Access to cutting-edge analytics tools and training
  • Collaborative remote-first culture with flexible hours
  • Opportunity to work with Fortune 500 clients

Responsibilities

  • Analyze large datasets using SQL, Python, and R to identify business trends and opportunities
  • Create interactive dashboards and visualizations using Tableau and Power BI
  • Develop automated reporting systems for weekend operational metrics
  • Collaborate with cross-functional teams to define data requirements
  • Validate data integrity and troubleshoot anomalies in weekend data streams
  • Present findings to stakeholders through concise executive summaries
  • Optimize data pipelines for weekend batch processing efficiency

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 2+ years of experience in data analysis or business intelligence
  • Advanced proficiency in SQL and experience with cloud databases (AWS/Azure)
  • Expertise in data visualization tools (Tableau/Power BI)
  • Strong knowledge of statistical analysis and hypothesis testing
  • Experience with ETL processes and data warehousing concepts
  • Ability to work independently with minimal supervision
  • Excellent communication skills for translating technical insights

Required Skills

SQL Python R Tableau Power BI Data Visualization Statistical Analysis ETL AWS Azure

Ready to Take This Challenge?

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