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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst (Weekend Shift)

DataDriven Tech
Austin
Estimated Salary
USD 70.000 – USD 95.000
Live Update
15 Juli 2026
Deadline
15 Jul 2027

Job Description

Join DataDriven Tech's elite analytics team as a Weekend Shift Data Analyst! We're seeking a detail-oriented professional to transform complex datasets into actionable business insights while enjoying a flexible weekend schedule. You'll work in our state-of-the-art Austin headquarters alongside industry experts tackling cutting-edge projects for Fortune 500 clients. Enjoy premium benefits including remote flexibility, professional development stipends, and equity opportunities. Apply today to accelerate your career in data science!

Responsibilities

  • Analyze large-scale datasets using SQL, Python, and R to identify trends and business opportunities
  • Create interactive dashboards and visualizations using Tableau/Power BI for executive stakeholders
  • Develop automated reporting pipelines to deliver real-time insights across departments
  • Collaborate with cross-functional teams to translate business questions into analytical solutions
  • Validate data integrity and implement quality control measures for all deliverables
  • Present findings to leadership teams with actionable recommendations
  • Maintain documentation of analytical methodologies and processes

Qualifications

  • Bachelor's degree in Statistics, Computer Science, Mathematics, or related field
  • 3+ years of experience in data analysis or business intelligence
  • Expert proficiency in SQL and Python (Pandas, NumPy)
  • Advanced knowledge of data visualization tools (Tableau/Power BI)
  • Strong statistical modeling and hypothesis testing skills
  • Experience with cloud platforms (AWS, GCP, or Azure)
  • Exceptional communication skills with ability to translate complex data
  • Ability to work independently during weekend shifts (Sat-Sun)

Required Skills

SQL Python Tableau Power BI Statistical Analysis Data Visualization AWS GCP Azure Business Intelligence

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