Job Description
Join our dynamic night team as a Data Analyst at Quantum Analytics Solutions! We're seeking a detail-oriented professional to transform complex datasets into actionable insights during our overnight shift (10 PM - 6 AM). This remote-friendly hybrid role offers competitive compensation, flexible scheduling, and opportunities to drive data-driven decisions for Fortune 500 clients across the Rocky Mountain region.
Our Denver-based analytics hub combines cutting-edge technology with collaborative problem-solving. You'll work with real-time data streams and collaborate with cross-functional teams to optimize business operations. This position includes comprehensive benefits, professional development stipends, and a supportive culture that values work-life balance.
Responsibilities
- Analyze and interpret complex datasets using SQL, Python, and visualization tools to identify trends and anomalies
- Create automated reports and dashboards for executive stakeholders during overnight hours
- Collaborate with global teams to troubleshoot data quality issues and implement improvements
- Develop predictive models for operational efficiency and customer behavior analysis
- Present findings to leadership through concise documentation and visual storytelling
- Maintain data integrity through rigorous validation and quality control processes
- Support ad-hoc analysis requests with rapid turnaround during shift hours
Qualifications
- Bachelor's degree in Data Science, Statistics, Computer Science, or related field
- 3+ years of experience in data analysis with proven night shift or remote work history
- Advanced proficiency in SQL, Python (Pandas, NumPy), and data visualization tools (Tableau/Power BI)
- Strong statistical analysis skills and experience with hypothesis testing
- Excellent problem-solving abilities with attention to detail and accuracy
- Effective communication skills for presenting complex data to non-technical audiences
- Ability to work independently during overnight hours with minimal supervision
- Familiarity with cloud platforms (AWS/GCP) and ETL processes preferred