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Information Technology 🏢 Part Time ⭐️ Verified

Part-Time Data Analyst

Insight Analytics Solutions
New York
Estimated Salary
USD 40 – USD 65
New
Live Update
5 September 2026
Deadline
5 Sep 2027

Job Description

Join our dynamic data team at Insight Analytics Solutions, where we transform raw data into strategic business intelligence. We're seeking a meticulous Part-Time Data Analyst to support our clients in New York's thriving tech and finance sectors. This remote-friendly role offers flexible hours (20-25 hrs/week) while working with cutting-edge datasets to drive impactful decisions. Collaborate with cross-functional teams to uncover trends, optimize processes, and present actionable insights that fuel growth. If you're passionate about data storytelling and thrive in a fast-paced environment, this opportunity is your next career leap.

Responsibilities

  • Analyze complex datasets using SQL, Python, and R to identify trends and opportunities
  • Create interactive dashboards and visualizations using Tableau/Power BI
  • Develop automated reporting pipelines to enhance data accessibility
  • Collaborate with stakeholders to translate business questions into analytical approaches
  • Conduct A/B testing and statistical analysis to validate hypotheses
  • Present findings through clear executive summaries and stakeholder meetings
  • Maintain data quality standards through rigorous validation protocols

Qualifications

  • Bachelor's degree in Statistics, Computer Science, Mathematics, or related field
  • 2+ years of professional data analysis experience
  • Expert proficiency in SQL and at least one programming language (Python/R)
  • Advanced Excel skills including pivot tables and complex formulas
  • Experience with data visualization tools (Tableau/Power BI/Seaborn)
  • Strong statistical knowledge (hypothesis testing, regression analysis)
  • Proven ability to communicate technical insights to non-technical audiences
  • Portfolio demonstrating data-driven projects with measurable impact

Required Skills

SQL Python R Tableau Power BI Excel Statistics Data Visualization A/B Testing Data Cleaning Stakeholder Communication

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