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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst (Weekend Shift) - Remote with Equity Options

Nexus Analytics Group
Louisville
Estimated Salary
USD 75.000 – USD 95.000
Live Update
14 Juli 2026
Deadline
14 Jul 2027

Job Description

Join Nexus Analytics Group as a Weekend Data Analyst and transform raw data into strategic insights that drive business decisions. This fully remote role offers the flexibility of weekend shifts (Sat-Sun) while providing competitive compensation and equity options to share in our growth. You'll collaborate with cross-functional teams to analyze complex datasets, create compelling visualizations, and deliver actionable recommendations that impact our clients' success. Our culture values innovation, work-life balance, and professional development, making this an ideal opportunity for data professionals seeking non-traditional hours and meaningful impact.

Responsibilities

  • Analyze large datasets using SQL, Python, and BI tools to identify trends and patterns
  • Create interactive dashboards and reports using Tableau/Power BI for executive stakeholders
  • Develop automated data pipelines to ensure data quality and accessibility
  • Collaborate with product teams to translate business questions into analytical solutions
  • Present findings to leadership through clear, data-driven storytelling
  • Maintain and optimize data models for weekend reporting cycles
  • Document analytical processes and methodologies for team knowledge sharing

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of experience in data analysis or business intelligence roles
  • Proficiency in SQL, Python (Pandas, NumPy), and at least one BI tool (Tableau/Power BI)
  • Strong statistical analysis skills with experience in A/B testing and hypothesis validation
  • Experience with data visualization and creating executive-ready reports
  • Ability to work independently during weekend shifts with minimal supervision
  • Excellent communication skills for translating technical insights to non-technical audiences
  • Portfolio demonstrating data analysis projects and visualizations

Required Skills

SQL Python Tableau Power BI Data Visualization Statistical Analysis A/B Testing Data Pipelines Business Intelligence

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