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Information Technology 🏢 Full Time ⭐️ Verified

Weekend Shift Data Analyst

DataDriven Analytics
Oklahoma City
Estimated Salary
USD 65.000 – USD 75.000
New
Live Update
6 Mei 2026
Deadline
6 Mei 2027

Job Description

Join DataDriven Analytics as a Weekend Shift Data Analyst and transform raw data into actionable business insights! This unique opportunity allows you to work a compressed 4-day weekend schedule while leveraging your analytical expertise to drive strategic decisions. Enjoy competitive compensation, comprehensive benefits, and a collaborative environment focused on innovation. If you're a detail-oriented professional seeking work-life balance without compromising impact, this role is your perfect match.

Responsibilities

  • Analyze complex datasets using SQL, Python, and visualization tools to identify trends and opportunities
  • Create interactive dashboards and reports for executive stakeholders using Tableau/Power BI
  • Collaborate with cross-functional teams to define analytical requirements and deliverables
  • Monitor KPIs and performance metrics, providing weekly insights during weekend shifts
  • Develop automated data pipelines to ensure accuracy and efficiency of reporting
  • Present findings to leadership teams through compelling data narratives
  • Ensure data integrity across all reporting systems and compliance protocols

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of professional data analysis experience with weekend shift preference
  • Expert proficiency in SQL, Python (Pandas, NumPy), and visualization tools
  • Strong experience with data warehousing concepts and ETL processes
  • Proven ability to translate complex data into business recommendations
  • Excellent written and verbal communication skills for stakeholder presentations
  • Certification in Tableau or Power BI preferred
  • Experience working with healthcare or retail data a plus

Required Skills

SQL Python Tableau Power BI Data Visualization Statistical Analysis ETL Data Warehousing KPI Monitoring

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