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Information Technology 🏢 Part Time ⭐️ Verified

Part-Time Data Analyst

TechFlow Analytics
Austin
Estimated Salary
USD 25 – USD 45
Live Update
28 Juli 2026
Deadline
28 Jul 2027

Job Description

Join TechFlow Analytics as a Part-Time Data Analyst and transform raw data into actionable business intelligence. We're seeking a detail-oriented professional to support our Austin-based team with impactful analytics while offering competitive compensation and relocation assistance for qualified candidates. This hybrid role (3 days onsite/2 remote) provides flexibility while fostering collaboration in our cutting-edge environment.

Why TechFlow Analytics? We empower businesses through data-driven decision-making, offering mentorship from industry experts and exposure to diverse projects across retail and tech sectors. Our inclusive culture encourages continuous learning and professional growth.

Responsibilities

  • Collect, clean, and analyze complex datasets using SQL and Python to identify trends and opportunities
  • Create interactive dashboards and visualizations in Tableau/Power BI to communicate findings to stakeholders
  • Support ad-hoc reporting requests and automate data pipelines for operational efficiency
  • Collaborate with cross-functional teams to define KPIs and track performance metrics
  • Document methodologies and maintain data integrity across multiple systems
  • Present insights through clear, concise reports and presentations to leadership teams

Qualifications

  • Bachelor's degree in Statistics, Computer Science, Mathematics, or related field
  • 2+ years of experience in data analysis or similar role
  • Proficiency in SQL, Python (Pandas/NumPy), and Excel
  • Experience with data visualization tools (Tableau/Power BI)
  • Strong problem-solving skills with attention to detail
  • Ability to work independently and manage multiple deadlines
  • Excellent communication skills for translating technical concepts

Required Skills

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

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