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Information Technology 🏢 Part Time ⭐️ Verified

Data Analyst (Weekend Shift)

TechInnovate Solutions
Louisville
Estimated Salary
USD 25 – USD 35
Live Update
17 Agustus 2026
Deadline
17 Agu 2027

Job Description

Join TechInnovate Solutions as a Data Analyst on our dynamic weekend shift and transform raw data into actionable insights. We're urgently seeking analytical minds to support our cutting-edge tech initiatives while maintaining a work-life balance. This hybrid role offers competitive compensation, flexible scheduling, and opportunities to impact high-stakes projects in a collaborative environment.

As a key member of our analytics team, you'll work closely with cross-functional departments to drive data-driven decisions. Our Louisville hub is at the forefront of technological innovation, and we're committed to fostering a culture of continuous learning and growth.

Responsibilities

  • Analyze complex datasets using SQL, Python, and statistical tools to identify trends and business opportunities
  • Create interactive dashboards and reports using Tableau/Power BI for executive stakeholders
  • Collaborate with engineering teams to optimize data collection and processing pipelines
  • Conduct A/B testing and statistical modeling to support product development decisions
  • Present findings to leadership teams with clear, actionable recommendations
  • Maintain data quality standards and implement data governance best practices
  • Support weekend operations with real-time data monitoring and troubleshooting

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 2+ years of experience in data analysis or business intelligence
  • Proficiency in SQL, Python (Pandas, NumPy), and Excel
  • Experience with data visualization tools (Tableau, Power BI, or Looker)
  • Strong statistical knowledge and experimental design skills
  • Ability to work independently during weekend shifts with minimal supervision
  • Excellent communication skills with ability to translate technical insights for non-technical audiences
  • Experience working with large datasets and cloud platforms (AWS/GCP)

Required Skills

Data Analysis SQL Python Tableau Statistical Modeling Data Visualization Business Intelligence Excel AWS A/B Testing

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