Job Description
Join our innovative data team as a Senior Data Analyst and transform complex datasets into actionable business insights. We're offering relocation assistance for qualified candidates to relocate to our New York headquarters while maintaining remote flexibility. This role is perfect for analytical minds who thrive in collaborative environments and want to make a tangible impact on our company's growth strategy.
As a key member of our data analytics division, you'll leverage cutting-edge tools to uncover hidden patterns in large datasets, directly influencing product development and marketing initiatives. Our commitment to work-life balance includes flexible hours and comprehensive benefits, making us an ideal employer for data professionals seeking both professional challenge and personal fulfillment.
Responsibilities
- Analyze complex datasets to identify trends, correlations, and actionable business insights
- Design and implement scalable data models using SQL, Python, and R
- Create interactive dashboards and visualizations using Tableau and Power BI
- Collaborate with cross-functional teams to translate business requirements into analytical solutions
- Develop A/B testing frameworks and statistical models to support data-driven decision making
- Present findings to executive stakeholders through compelling data narratives
- Maintain data quality standards and implement data governance best practices
Qualifications
- Bachelor's degree in Computer Science, Statistics, Mathematics, or related field (Master's preferred)
- 5+ years of progressive experience in data analysis or business intelligence
- Expert proficiency in SQL, Python (Pandas, NumPy), and statistical analysis
- Advanced experience with data visualization tools (Tableau, Power BI)
- Strong background in statistical modeling and experimental design
- Proven ability to translate complex data into actionable business recommendations
- Excellent communication skills with experience presenting to non-technical stakeholders
- Experience with cloud data platforms (AWS, GCP, or Azure)