Job Description
Join our dynamic team as a Night Shift Data Analyst at DataDriven Solutions Inc., where your analytical prowess will directly shape our client's strategic decisions. This premium night shift role offers a competitive salary with a 15% night differential and flexible scheduling options. You'll work in a state-of-the-art downtown Portland facility with 24/7 security and complimentary amenities including a wellness center and gourmet kitchen. Our data-driven culture empowers analysts to transform complex datasets into actionable insights that drive business growth.
As a night shift specialist, you'll collaborate with cross-functional teams to optimize overnight data processing pipelines and deliver real-time analytics to global stakeholders. This role is perfect for detail-oriented professionals seeking a non-traditional schedule without sacrificing career advancement opportunities. We offer comprehensive benefits including health insurance, 401(k) matching, and professional development stipends.
Responsibilities
- Process and analyze overnight transactional datasets using SQL and Python to generate daily performance reports
- Develop interactive Tableau dashboards for real-time monitoring of key business metrics during night operations
- Collaborate with offshore teams to ensure seamless data handover and continuity across shifts
- Identify anomalies in nightly data streams and initiate corrective actions with minimal downtime
- Document data processing workflows and create SOPs for night shift operations
- Present weekly analytical findings to senior leadership during morning handoff meetings
- Maintain data integrity across multiple platforms while adhering to strict compliance standards
Qualifications
- Bachelor's degree in Data Science, Statistics, Computer Science, or related field (or equivalent experience)
- 3+ years of professional data analysis experience with night shift or 24/7 environment preferred
- Advanced proficiency in SQL, Python (Pandas, NumPy), and data visualization tools
- Expert knowledge of statistical analysis methods and experimental design principles
- Experience with ETL processes and data warehousing in cloud environments (AWS/GCP)
- Strong problem-solving skills with ability to work independently during off-peak hours
- Excellent written communication skills for cross-shift documentation and reporting
- Professional certification (e.g., Google Data Analytics, Microsoft Azure Data Engineer) a plus