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Data Analyst (Weekend Shift) - Remote | Louisville, KY

InnovateData Analytics
Louisville
Estimated Salary
USD 75.000 – USD 95.000
Live Update
28 Juli 2026
Deadline
28 Jul 2027

Job Description

Join InnovateData Analytics as a Weekend Data Analyst and transform raw data into strategic insights while enjoying a flexible remote schedule! As a key member of our Louisville-based team, you'll drive data-driven decisions for Fortune 500 clients through weekend shifts (Saturday-Sunday). This role offers competitive compensation, equity options, and the opportunity to work with cutting-edge analytics tools—all while maintaining work-life balance.

Why InnovateData? We're a data-first company committed to empowering our team with growth opportunities, comprehensive benefits, and a culture that values innovation. Our remote-first environment fosters collaboration and flexibility, making us a top choice for analytics professionals seeking impactful work without geographical constraints.

Responsibilities

  • Analyze complex datasets using SQL, Python, and R to identify trends and actionable business insights
  • Create compelling data visualizations and interactive dashboards for executive stakeholders
  • Collaborate with cross-functional teams to define KPIs and track performance metrics
  • Develop automated reporting pipelines to ensure real-time data accuracy and accessibility
  • Present findings to leadership through concise data narratives and strategic recommendations
  • Maintain data integrity through rigorous validation and quality control processes

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of professional data analysis experience with weekend shift availability
  • Advanced proficiency in SQL, Python (Pandas, NumPy), and data visualization tools (Tableau, Power BI)
  • Strong statistical modeling and A/B testing experience for business optimization
  • Proven ability to translate complex data into clear, actionable insights for non-technical audiences
  • Experience working with large datasets in cloud environments (AWS/GCP/Azure)

Required Skills

Data Analysis SQL Python Data Visualization Business Intelligence Statistics A/B Testing Tableau Cloud Platforms

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