Job Description
Join our dynamic night operations team as a Data Analyst at DataInsights Global! We're seeking a detail-oriented professional to transform raw data into actionable insights while supporting our global clients during off-peak hours. This unique night shift opportunity combines competitive compensation with a collaborative remote-first culture. You'll work directly with our Denver-based leadership team to drive data-driven decision-making across industries. Enjoy flexible scheduling, comprehensive benefits, and career growth opportunities in a supportive environment that values work-life balance.
Our ideal candidate thrives in autonomous settings while maintaining seamless communication with cross-functional teams. You'll leverage cutting-edge analytics tools to uncover trends, optimize processes, and deliver high-impact visualizations that shape business strategy. This role is perfect for night owls who excel in focused, uninterrupted work environments and want to make a tangible impact through data storytelling.
Responsibilities
- Design and execute automated data pipelines for real-time analytics during night shift hours
- Create interactive dashboards using Tableau/Power BI to visualize complex datasets
- Conduct statistical analysis to identify trends, anomalies, and growth opportunities
- Collaborate with global teams to deliver comprehensive weekly performance reports
- Implement A/B testing frameworks to optimize digital marketing campaigns
- Maintain data integrity through rigorous validation and quality control protocols
- Present findings to executive stakeholders through concise executive summaries
Qualifications
- Bachelor's degree in Data Science, Statistics, Computer Science, or related field
- 3+ years of professional data analysis experience with night shift preference
- Advanced proficiency in SQL, Python (Pandas/NumPy), and R programming
- Expert knowledge of data visualization tools (Tableau, Power BI, Looker)
- Strong experience with cloud platforms (AWS, GCP, Azure) and ETL processes
- Proven ability to translate complex technical concepts for non-technical audiences
- Experience working with large datasets (100M+ records) in distributed systems
- Certification in Google Analytics, AWS Data Analytics, or equivalent preferred