Job Description
Join DataInsights Global as a Night Shift Data Analyst and transform raw data into actionable business intelligence from the heart of Nashville's thriving tech scene. This unique night opportunity offers exceptional work-life balance while supporting our global operations. You'll work with cutting-edge analytics tools to drive data-driven decisions that impact millions of users worldwide.
We're seeking a detail-oriented analyst to join our innovative team in a vibrant, collaborative environment. With competitive compensation, comprehensive benefits, and opportunities for professional growth, this role is perfect for night owls who excel in autonomous problem-solving.
Responsibilities
- Analyze complex datasets to identify trends, patterns, and anomalies using SQL, Python, and visualization tools
- Create compelling dashboards and reports for executive stakeholders using Tableau and Power BI
- Develop automated data pipelines to optimize reporting efficiency and data accuracy
- Collaborate with cross-functional teams to translate business requirements into technical solutions
- Monitor key performance indicators (KPIs) and provide actionable insights for strategic decision-making
- Maintain data integrity through rigorous quality checks and documentation practices
- Present findings to leadership teams with clear, data-driven recommendations
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 remote work preference
- Expert proficiency in SQL, Python (Pandas, NumPy), and data visualization tools
- Strong understanding of statistical analysis and experimental design principles
- Experience with cloud platforms (AWS/Azure) and ETL processes
- Exceptional problem-solving skills with attention to detail and accuracy
- Ability to work independently during night hours with minimal supervision
- Excellent communication skills for presenting complex data to non-technical audiences