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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst - Weekend Shift | Charlotte, NC | Remote Options

Apex Data Analytics
Charlotte
Estimated Salary
USD 65.000 – USD 85.000
New
Live Update
3 September 2026
Deadline
3 Sep 2027

Job Description

Are you a detail-oriented Data Analyst looking for a high-impact role in Charlotte? Join Apex Data Analytics as a Weekend Shift Data Analyst. We are seeking a strategic thinker who can drive insights and optimize data strategies during critical off-peak hours.


Enjoy the flexibility of a weekend schedule with the stability of a full-time position. If you are passionate about turning raw data into actionable business intelligence and thrive in a dynamic environment, we want to hear from you. Remote options are available for qualified candidates.

Responsibilities

  • Analyze complex datasets to identify trends, patterns, and opportunities for business growth.
  • Collaborate with cross-functional teams to define data requirements and reporting needs.
  • Create comprehensive, visually appealing reports and dashboards using Tableau or PowerBI.
  • Ensure data accuracy, integrity, and consistency across all reporting platforms.
  • Maintain and optimize existing database systems and SQL queries.
  • Perform statistical analysis to support executive decision-making.
  • Communicate findings effectively to non-technical stakeholders.

Qualifications

  • Bachelor’s degree in Mathematics, Statistics, Computer Science, or related field.
  • 3+ years of professional experience in data analysis or business intelligence.
  • Proficiency in SQL, Python, or R for data manipulation.
  • Strong experience with data visualization tools (Tableau, PowerBI, or Looker).
  • Excellent problem-solving skills and attention to detail.
  • Ability to work independently and meet tight deadlines in a weekend shift environment.
  • Experience with data warehousing concepts (ETL processes) is a plus.

Required Skills

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

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