Job Description
Join our dynamic analytics team as a Night Shift Data Analyst in sunny Tucson, AZ! We're seeking a detail-oriented professional to transform complex datasets into actionable business insights during our overnight operations. This hybrid role combines remote flexibility with occasional on-site collaboration at our state-of-the-art Tech Park facility. Enjoy competitive compensation, premium benefits, and a schedule that maximizes your work-life balance.
At DataSolutions Inc., we empower businesses through data-driven decision-making. You'll work with cutting-edge tools to support our global clients while enjoying Tucson's vibrant culture and outdoor lifestyle. Our night shift team operates 10 PM - 6 AM MST, offering exclusive perks like premium parking and off-peak commute times.
Responsibilities
- Analyze and interpret complex datasets to identify trends, anomalies, and business opportunities
- Create automated reports and dashboards using SQL, Python, and Tableau for overnight stakeholders
- Collaborate with cross-functional teams to develop data-driven solutions during overnight operations
- Monitor data quality and implement validation protocols for real-time analytics pipelines
- Present findings to executive leadership through clear visualizations and concise summaries
- Support ad-hoc analysis requests from international clients during night shift hours
- Optimize data processes to improve efficiency and accuracy of overnight reporting
Qualifications
- Bachelor's degree in Data Science, Statistics, Computer Science, or related field
- 3+ years of professional data analysis experience with SQL proficiency
- Advanced expertise in data visualization tools (Tableau, Power BI, or Looker)
- Strong programming skills in Python (Pandas, NumPy) or R
- Experience working with large datasets and cloud platforms (AWS/GCP/Azure)
- Proven ability to work independently during overnight shifts with minimal supervision
- Excellent communication skills for presenting complex concepts to non-technical audiences
- Portfolio demonstrating data-driven projects with measurable business impact