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Information Technology 🏢 Part Time ⭐️ Verified

Data Analyst - Weekend Shift

DataInsights Global
New York
Estimated Salary
USD 65.000 – USD 85.000
New
Live Update
23 September 2026
Deadline
23 Sep 2027

Job Description

Join DataInsights Global as a Weekend Data Analyst and transform raw data into actionable business intelligence! This unique part-time opportunity allows you to leverage your analytical skills while enjoying a balanced weekday schedule. Collaborate with cross-functional teams to uncover trends, optimize operations, and drive data-driven decisions in our dynamic New York City headquarters.

We offer competitive compensation, flexible scheduling, and a collaborative environment where your insights directly impact our clients' success. Perfect for students, professionals seeking work-life balance, or those looking to supplement their income with meaningful analytics work.

Responsibilities

  • Analyze complex datasets using SQL, Python, and Excel to identify business trends and opportunities
  • Create interactive dashboards and visualizations using Tableau/Power BI for executive stakeholders
  • Monitor KPIs and generate weekly performance reports with actionable recommendations
  • Collaborate with weekend operations teams to troubleshoot data discrepancies in real-time
  • Support ad-hoc analysis projects for marketing, finance, and product departments
  • Document data processes and maintain data quality standards

Qualifications

  • Bachelor's degree in Statistics, Computer Science, Economics, or related field
  • 2+ years of professional data analysis experience with SQL proficiency
  • Advanced Excel skills (VLOOKUP, PivotTables, complex formulas)
  • Experience with data visualization tools (Tableau or Power BI)
  • Strong problem-solving skills with attention to detail
  • Ability to work independently during weekend shifts with minimal supervision
  • Excellent written and verbal communication skills

Required Skills

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

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