Job Description
Join DataInsights Global as a Weekend Data Analyst and transform raw data into actionable business intelligence! We're seeking a detail-oriented professional to support our Boston operations during weekend shifts (Saturday/Sunday). This hybrid role combines data analysis with strategic reporting, allowing you to make an impact while maintaining work-life balance.
As a key member of our analytics team, you'll leverage cutting-edge tools to uncover trends, optimize processes, and drive data-driven decisions. Our collaborative environment encourages innovation and professional growth, with opportunities to develop advanced analytical skills.
What You'll Love: Flexible weekend schedule, competitive compensation, comprehensive benefits package, and access to industry-leading data platforms. Perfect for analysts seeking non-traditional hours without sacrificing career advancement.
Responsibilities
- Analyze complex datasets using SQL, Python, and R to identify business opportunities and risks
- Create interactive dashboards and reports in Tableau/Power BI for executive stakeholders
- Monitor weekend performance metrics and provide real-time insights to operational teams
- Collaborate with cross-functional departments to define data requirements and KPIs
- Develop automated data pipelines to ensure weekend data accuracy and accessibility
- Present findings to leadership through compelling visualizations and clear narratives
- Maintain data integrity through rigorous quality checks and documentation practices
Qualifications
- Bachelor's degree in Data Science, Statistics, Computer Science, or related field
- 3+ years of experience in data analysis or business intelligence roles
- Expert proficiency in SQL and at least one programming language (Python/R)
- Advanced skills in data visualization tools (Tableau/Power BI)
- Experience working with large datasets and cloud platforms (AWS/GCP)
- Strong problem-solving abilities with attention to detail
- Excellent communication skills for translating technical insights to non-technical audiences
- Ability to work independently during weekend shifts with minimal supervision