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Data Science 🏢 Part Time ⭐️ Verified

Part-Time Data Analyst

Apex Insights
New York
Estimated Salary
USD 35 – USD 55
Live Update
16 Juli 2026
Deadline
16 Jul 2027

Job Description

Apex Insights is a premier data-driven organization based in the heart of New York City. We are seeking a highly skilled and analytical Part-Time Data Analyst to join our growing team. This role offers the perfect blend of professional challenge and flexibility, allowing you to contribute to high-stakes projects without a full-time commitment.

You will work closely with our senior analysts to interpret complex datasets, build interactive dashboards, and provide actionable insights that drive business strategy. If you are passionate about turning raw numbers into compelling stories and thrive in a fast-paced, modern environment, we want to hear from you.

Responsibilities

  • Collect, clean, and interpret large datasets to identify trends and patterns.
  • Design and maintain interactive data visualizations using Tableau or Power BI.
  • Collaborate with cross-functional teams to define key performance indicators (KPIs) and reporting structures.
  • Write complex SQL queries to extract and manipulate data from relational databases.
  • Prepare detailed reports and presentations for stakeholders to support decision-making processes.
  • Identify data anomalies and suggest improvements to data collection processes.

Qualifications

  • Minimum of 2-3 years of experience in data analysis or a related field.
  • Proficiency in SQL and experience with at least one visualization tool (Tableau, Power BI, or Looker).
  • Strong analytical skills with the ability to translate data into clear, concise business insights.
  • Excellent proficiency in Microsoft Excel (pivot tables, VLOOKUP) and Python/R for data manipulation.
  • Strong attention to detail and the ability to meet tight deadlines in a flexible schedule.
  • Experience working in an Agile or fast-paced corporate environment.

Required Skills

SQL Python Tableau Power BI Excel Statistical Analysis Data Visualization Data Cleaning

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