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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Analyst | Competitive Pay | Chicago, IL

Apex Tech Solutions
Chicago
Estimated Salary
USD 70.000 – USD 95.000
Live Update
8 Juli 2026
Deadline
8 Jul 2027

Job Description

Are you passionate about turning raw data into actionable insights? Apex Tech Solutions, a leading player in the Top Tech Companies landscape, is seeking a highly skilled Data Analyst to join our innovative team in Chicago, Illinois. We offer Daily Pay Jobs opportunities, ensuring you get compensated quickly for your hard work.

In this role, you will collaborate with cross-functional teams to drive business growth through data-driven decision-making. You will be responsible for analyzing complex datasets, building interactive dashboards, and presenting findings to stakeholders at the highest levels.

Responsibilities

  • Data Mining & Analysis: Collect, clean, and analyze large datasets using SQL and Python to identify trends and patterns.
  • Dashboard Creation: Develop and maintain dynamic visualizations in Tableau or Power BI to track key performance indicators (KPIs).
  • Reporting: Generate comprehensive reports and business intelligence summaries for executive leadership.
  • Forecasting: Utilize statistical models to forecast market trends and support strategic planning.
  • Process Improvement: Identify inefficiencies in data workflows and recommend solutions to optimize data quality.

Qualifications

  • Education: Bachelor’s degree in Computer Science, Mathematics, Statistics, or a related field.
  • Experience: Minimum of 3-5 years of experience in data analysis or a similar role.
  • Tech Stack: Proficiency in SQL, Python (Pandas, NumPy), and visualization tools (Tableau, Looker, or Power BI).
  • Communication: Exceptional ability to translate complex data into clear, actionable insights for non-technical audiences.
  • Attention to Detail: Strong analytical mindset with a focus on accuracy and data integrity.

Required Skills

SQL Python Tableau Power BI Excel Data Mining Statistical Analysis Data Visualization Business Intelligence

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