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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst (Weekend Shift) - Chicago, IL

Apex Data Solutions
Chicago
Estimated Salary
USD 75.000 – USD 95.000
Live Update
4 Mei 2026
Deadline
4 Mei 2027

Job Description

Unlock your potential in a role that offers the perfect work-life balance. We are seeking a meticulous Data Analyst to join our Chicago-based team, specializing in weekend operations and reporting. If you thrive in a fast-paced environment and want your Monday through Thursday completely free, this is the opportunity for you.

Why Join Us?

  • Flexible Schedule: Enjoy your weekends off and maximize your free time.
  • Modern Tech Stack: Work with the latest tools in data science and visualization.
  • Competitive Pay: Earn a top-tier salary in the Windy City.

We are looking for a proactive individual who can turn raw data into actionable insights.

Responsibilities

  • Lead the extraction, cleaning, and transformation of large-scale datasets to support weekend business intelligence initiatives.
  • Develop comprehensive weekly reports and dashboards that drive strategic decision-making for the executive team.
  • Collaborate with cross-functional stakeholders to identify key performance indicators (KPIs) and data anomalies.
  • Maintain data integrity and ensure accuracy across all reporting systems during off-peak hours.
  • Utilize SQL, Python, and visualization tools (Tableau/PowerBI) to communicate complex data stories effectively.

Qualifications

  • Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related field.
  • Proven experience (2+ years) in data analysis, preferably within the Finance or E-commerce sector.
  • Advanced proficiency in SQL for complex querying and data manipulation.
  • Strong competency in Excel, Python, or R.
  • Experience with BI tools such as Tableau, Looker, or PowerBI.
  • Excellent verbal and written communication skills to translate technical findings for non-technical audiences.

Required Skills

SQL Python Tableau PowerBI Excel Data Analysis Statistical Analysis SQL Data Warehousing

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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