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Data Analyst - Weekend Shift (Top Tech)

InnovateTech Systems
Baltimore
Estimated Salary
USD 85.000 – USD 115.000
Live Update
17 Agustus 2026
Deadline
17 Agu 2027

Job Description

Join InnovateTech Systems—a global leader in AI-driven analytics—as a Data Analyst on our weekend shift. This is your opportunity to transform raw data into actionable insights while enjoying a 4-day work week. Our Baltimore hub fosters innovation and collaboration in a dynamic, inclusive environment. You'll work with cutting-edge tools and mentorship from industry veterans to drive strategic decisions. What makes this role exceptional: Premium benefits package, remote flexibility options, and career advancement pathways into leadership roles. Perfect for data enthusiasts seeking work-life balance without compromising impact.

Responsibilities

  • Analyze complex datasets using SQL, Python, and Tableau to identify trends and opportunities
  • Develop automated reporting dashboards for executive stakeholders
  • Collaborate with cross-functional teams to define data requirements for weekend shift projects
  • Validate data integrity and troubleshoot discrepancies in production systems
  • Present findings through compelling visualizations and narrative-driven reports
  • Optimize data pipelines for weekend batch processing efficiency
  • Support ad-hoc analysis requests with rapid turnaround

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of professional data analysis experience
  • Expert proficiency in SQL and Python (Pandas, NumPy)
  • Advanced Tableau/Power BI dashboard development skills
  • Strong statistical modeling and hypothesis testing capabilities
  • Experience with cloud platforms (AWS/GCP/Azure) data services
  • Ability to work independently during weekend shifts with minimal supervision
  • Excellent written and verbal communication skills

Required Skills

SQL Python Tableau Data Analysis Statistics Data Visualization AWS Cloud Computing Dashboard Development Data Pipeline Optimization

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