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Information Technology 🏢 Full Time ⭐️ Verified

Night Shift Data Analyst

DataDrive Solutions
Austin
Estimated Salary
USD 75.000 – USD 95.000
New
Live Update
5 Oktober 2026
Deadline
5 Okt 2027

Job Description

Join DataDrive Solutions' dynamic night team as a Data Analyst in Austin's vibrant tech scene! We're seeking a detail-oriented professional to transform raw data into actionable insights during our overnight shift. Enjoy competitive compensation, flexible scheduling, and the opportunity to work with cutting-edge analytics tools while supporting global operations.

This role offers a unique work-life balance with daytime availability for personal pursuits, plus comprehensive benefits including health insurance, 401(k) matching, and professional development stipends. Our downtown Austin office features modern amenities and a collaborative culture that values data-driven decision-making.

Responsibilities

  • Analyze complex datasets to identify trends and generate performance reports
  • Create automated dashboards using SQL, Python, and Tableau for real-time monitoring
  • Collaborate with cross-functional teams to define KPIs and track business metrics
  • Develop predictive models to forecast operational outcomes and recommend optimizations
  • Ensure data integrity through rigorous validation and quality control protocols
  • Present findings to stakeholders through clear visualizations and actionable insights
  • Support 24/7 operations by analyzing overnight transaction patterns and anomalies

Qualifications

  • Bachelor's degree in Statistics, Computer Science, Mathematics, or related field
  • 3+ years of experience in data analysis with SQL proficiency
  • Advanced skills in Python (Pandas, NumPy) and data visualization tools
  • Experience with ETL processes and database management systems
  • Strong problem-solving abilities with attention to detail
  • Ability to work independently during overnight shifts with minimal supervision
  • Excellent communication skills for presenting technical findings to non-technical audiences
  • Experience working with large datasets (100M+ records) preferred

Required Skills

SQL Python Tableau Data Visualization Statistical Analysis Predictive Modeling ETL Processes Data Quality

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