Job Description
Join DataVision Analytics as a Weekend Data Analyst and transform raw data into actionable insights that drive business decisions. This unique part-time opportunity allows you to leverage your analytical skills in a collaborative environment while enjoying a flexible weekend schedule. You'll work with cutting-edge tools to uncover trends, optimize operations, and support strategic initiatives for our diverse client portfolio.
Our Philadelphia-based team values analytical rigor and creative problem-solving. We offer competitive compensation, professional development opportunities, and a supportive culture that celebrates data-driven innovation. If you're passionate about turning numbers into narratives and making an impact outside traditional hours, this role is for you.
Responsibilities
- Analyze complex datasets to identify trends, patterns, and anomalies using SQL, Python, and statistical methods
- Create interactive dashboards and reports using Tableau/Power BI to visualize key performance metrics
- Collaborate with cross-functional teams to translate business requirements into analytical solutions
- Monitor data quality and implement validation protocols to ensure accuracy and reliability
- Present findings to stakeholders through clear, concise documentation and presentations
- Support weekend-specific projects requiring real-time data analysis and reporting
- Contribute to continuous improvement of data infrastructure and analytical workflows
Qualifications
- Bachelor's degree in Data Science, Statistics, Computer Science, or related field
- 3+ years of experience in data analysis with proficiency in SQL and Python
- Advanced skills in data visualization tools (Tableau, Power BI, or similar)
- Strong understanding of statistical methods and experimental design
- Experience working with large datasets and cloud platforms (AWS, Azure, or GCP)
- Ability to work independently and manage time effectively in a weekend shift structure
- Excellent communication skills with experience presenting technical concepts to non-technical audiences
- Portfolio demonstrating past analytical projects and business impact