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Data & Analytics 🏢 Part Time ⭐️ Verified

Weekend Data Analyst

DataDriven Solutions Inc.
Louisville
Estimated Salary
USD 22 – USD 30
New
Live Update
31 Agustus 2026
Deadline
31 Agu 2027

Job Description

Join DataDriven Solutions Inc. as a Weekend Data Analyst and transform raw data into actionable insights while enjoying a flexible weekend schedule! We're seeking a detail-oriented professional to analyze complex datasets, identify trends, and support strategic decision-making for our growing Louisville-based team. This role offers competitive compensation, remote flexibility, and the opportunity to work with cutting-edge analytics tools. If you're passionate about data and prefer a non-traditional work schedule, this is your chance to excel in a dynamic environment.

Responsibilities

  • Analyze and interpret complex datasets using SQL, Python, and Excel to identify business trends and opportunities
  • Create interactive dashboards and visualizations using Tableau/Power BI for executive stakeholders
  • Develop automated reporting pipelines to streamline weekend data delivery processes
  • Collaborate with cross-functional teams to translate business requirements into technical solutions
  • Monitor data quality metrics and implement data validation protocols
  • Present findings to leadership through clear, concise written and verbal reports
  • Support ad-hoc data requests during weekend operational hours

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 advanced Excel functions
  • Experience with data visualization tools (Tableau, Power BI, or similar)
  • Strong attention to detail with proven ability to manage large datasets
  • Excellent problem-solving skills and analytical thinking
  • Ability to work independently during weekend shifts with minimal supervision
  • Strong communication skills for translating technical insights to non-technical audiences

Required Skills

SQL Python Tableau Power BI Data Visualization Excel Statistical Analysis Business Intelligence

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