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Information Technology 🏢 Part Time ⭐️ Verified

Part-Time Data Analyst

Apex Data Solutions
New York
Estimated Salary
USD 45.000 – USD 65.000
Live Update
17 Juni 2026
Deadline
17 Jun 2027

Job Description

Are you a detail-oriented professional looking to make a significant impact in the heart of New York City? Apex Data Solutions is seeking a talented Part-Time Data Analyst to join our growing team. In this role, you will translate complex datasets into actionable business intelligence, driving strategic decisions for our diverse clientele.

Our ideal candidate is passionate about uncovering hidden trends, proficient in modern analytical tools, and thrives in a dynamic, high-performance environment. This is a fantastic opportunity to work remotely or on-site, balancing flexibility with deep analytical work.

Responsibilities

  • Collect, clean, and validate large datasets to ensure accuracy and integrity for reporting purposes.
  • Design, develop, and maintain interactive dashboards using tools like Tableau or Power BI to visualize key performance indicators (KPIs).
  • Collaborate with cross-functional teams to understand business requirements and translate them into data models and analytical solutions.
  • Perform statistical analysis and forecasting to support strategic planning and operational efficiency.
  • Generate comprehensive monthly and quarterly reports for stakeholders, highlighting critical insights and trends.
  • Identify opportunities for process improvement and automation to streamline data workflows.

Qualifications

  • Bachelor’s degree in Finance, Mathematics, Statistics, Computer Science, or a related field.
  • Proven experience in data analysis, business intelligence, or a related role (Part-time or Full-time).
  • Strong proficiency in SQL for database querying and data manipulation.
  • Experience with visualization tools such as Tableau, Power BI, or Looker.
  • Excellent problem-solving skills and the ability to communicate complex data findings to non-technical stakeholders.
  • Availability to work a minimum of 20 hours per week on a flexible schedule.

Required Skills

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

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