Job Description
Join DataVision Analytics as a Weekend Remote Data Analyst and transform complex data into actionable insights. This full-time position offers the flexibility of remote work while supporting critical business operations during weekend shifts. You'll collaborate with cross-functional teams to drive data-driven decisions and optimize performance metrics. Our Tampa-based team values innovation, work-life balance, and professional growth, making this an ideal opportunity for analysts seeking non-traditional schedules without compromising career advancement.
We provide cutting-edge analytics tools, comprehensive training, and a supportive culture where your analytical expertise directly impacts our clients' success. Enjoy competitive compensation, full benefits, and the freedom to excel from anywhere in the US while contributing to high-stakes projects.
Responsibilities
- Analyze large datasets using SQL, Python, and statistical modeling to identify trends and business opportunities
- Create interactive dashboards and reports using Tableau/Power BI to visualize key performance indicators
- Collaborate with stakeholders to define data requirements and deliver actionable insights
- Monitor weekend data pipelines and ensure data integrity across platforms
- Develop predictive models to forecast market trends and customer behavior
- Present findings to leadership through clear, data-driven narratives
- Optimize data collection processes and improve data quality standards
Qualifications
- Bachelor's degree in Data Science, Statistics, Computer Science, or related field
- 3+ years of experience in data analysis or business intelligence
- Proficiency in SQL, Python (Pandas, NumPy), and Excel
- Strong experience with data visualization tools (Tableau/Power BI)
- Knowledge of statistical methods and machine learning fundamentals
- Ability to work independently during weekend shifts with minimal supervision
- Excellent problem-solving skills and attention to detail
- Strong written and verbal communication abilities