Job Description
Join our cutting-edge team as a Data Analyst in the heart of New York City! We're urgently seeking a skilled professional to fill our weekend shift position with competitive compensation and comprehensive relocation assistance for qualified candidates. At DataVista Analytics, we transform raw data into actionable insights that drive strategic decisions across industries. This role offers the unique opportunity to work flexible weekend hours while making significant impact in a dynamic, fast-paced environment.
As a key member of our analytics division, you'll collaborate with cross-functional teams to uncover trends, optimize operations, and present compelling data narratives. We provide industry-leading tools, mentorship, and a culture that values innovation and work-life balance. If you're passionate about data and ready to accelerate your career in the Big Apple, we want to hear from you!
Responsibilities
- Analyze complex datasets using SQL, Python, and statistical tools to identify business opportunities and risks
- Create interactive dashboards and visualizations using Tableau/Power BI for executive stakeholders
- Develop automated reporting pipelines to ensure real-time data accuracy and accessibility
- Collaborate with product teams to define KPIs and track performance metrics
- Present findings to leadership through clear, data-driven storytelling
- Ensure data integrity through rigorous validation and quality control protocols
- Stay current with industry trends and emerging analytics technologies
Qualifications
- Bachelor's degree in Data Science, Statistics, Computer Science, or related field
- 3+ years of professional data analysis experience with weekend shift or flexible hours
- Expert proficiency in SQL, Python (Pandas/NumPy), and data visualization tools
- Strong statistical knowledge with experience in A/B testing and predictive modeling
- Proven ability to translate complex data into actionable business recommendations
- Experience with cloud platforms (AWS/GCP) and ETL processes
- Exceptional communication skills with ability to present to non-technical audiences
- Portfolio demonstrating impactful data-driven projects