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Information Technology 🏢 Part Time ⭐️ Verified

Weekend Data Analyst

DataMetrics Solutions Inc.
San Antonio
Estimated Salary
USD 65.000 – USD 85.000
New
Live Update
5 Oktober 2026
Deadline
5 Okt 2027

Job Description

Join our innovative analytics team at DataMetrics Solutions Inc. as a Weekend Data Analyst! We're seeking a detail-oriented professional to transform complex data into actionable insights while working a Saturday-Sunday schedule. This hybrid role combines remote flexibility with in-office collaboration at our San Antonio headquarters. You'll play a crucial role in driving data-driven decisions for our healthcare clients, working with cutting-edge tools and a collaborative team.

What We Offer:
• Competitive salary with performance bonuses
• Comprehensive health benefits package
• Professional development stipend
• Modern downtown workspace with free parking

Responsibilities

  • Analyze complex healthcare datasets using SQL, Python, and Tableau
  • Create interactive dashboards and weekly performance reports for executive stakeholders
  • Identify data trends and anomalies requiring investigation
  • Collaborate with cross-functional teams on data validation initiatives
  • Maintain data integrity across multiple database systems
  • Present findings to non-technical audiences through compelling visualizations
  • Support weekend data pipeline monitoring and issue resolution

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of professional data analysis experience
  • Advanced proficiency in SQL and Python (Pandas, NumPy)
  • Expertise in data visualization tools (Tableau, Power BI, or Looker)
  • Strong experience with statistical analysis and hypothesis testing
  • Healthcare industry knowledge preferred
  • Exceptional communication skills for translating technical insights
  • Ability to work independently during weekend shifts

Required Skills

SQL Python Tableau Data Visualization Statistical Analysis Healthcare Data Dashboard Creation Data Integrity

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