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Information Technology 🏢 Part Time ⭐️ Verified

Part-Time Data Analyst | North Carolina | Remote/Hybrid

Apex Data Systems
Raleigh
Estimated Salary
USD 25 – USD 45
New
Live Update
25 September 2026
Deadline
25 Sep 2027

Job Description

Are you a data-driven problem solver looking for flexibility?

Apex Data Systems is seeking a highly motivated Part-Time Data Analyst to join our growing team in North Carolina. We are a top-tier technology firm dedicated to leveraging data to drive business intelligence and strategic growth. In this role, you will play a pivotal part in transforming raw data into actionable insights, empowering our stakeholders to make informed decisions.

We offer a competitive hourly rate and a dynamic work environment that values autonomy and expertise. If you possess a keen eye for detail and a passion for analytics, we want to hear from you.

Responsibilities

  • Extract and Clean Data: Gather, clean, and preprocess large datasets from various sources to ensure accuracy and integrity for analysis.
  • Advanced Reporting: Design, develop, and maintain complex dashboards and reports using SQL, Python, and visualization tools (Tableau/PowerBI) to track key performance indicators (KPIs).
  • Statistical Analysis: Perform statistical analysis and modeling to identify trends, anomalies, and opportunities for process improvement.
  • Stakeholder Collaboration: Translate complex data findings into clear, concise, and non-technical language for diverse audiences, including executives and product teams.
  • Automated Workflows: Develop and maintain automated scripts and ETL processes to streamline data retrieval and reporting workflows.
  • Database Management: Assist in the optimization of database queries and management of data warehouses to ensure efficient data handling.

Qualifications

  • Education: Bachelor’s degree in Computer Science, Information Systems, Statistics, Finance, or a related field.
  • Experience: Minimum of 2-3 years of professional experience in data analysis, preferably within the technology or finance sector.
  • Technical Skills: Strong proficiency in SQL (PostgreSQL, MySQL) and Python or R for data manipulation and analysis.
  • Visualization: Experience with data visualization tools such as Tableau, PowerBI, or Looker is highly preferred.
  • Analytical Mindset: Exceptional attention to detail and the ability to think critically about data patterns and business implications.
  • Communication: Excellent written and verbal communication skills with the ability to present technical concepts to non-technical stakeholders.

Required Skills

SQL Python Tableau Power BI Excel Statistical Analysis Data Visualization ETL Data Warehousing Google Analytics

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