Job Description
Join InnovateTech Solutions as a Senior Data Analyst and transform complex datasets into actionable business insights. We're a leading AI-driven tech company revolutionizing digital experiences, and we need your expertise to drive data-informed decisions across our product development, marketing, and operational teams. This immediate hire position offers hybrid work arrangements and the opportunity to impact cutting-edge projects for Fortune 500 clients. Collaborate with cross-functional teams to develop predictive models, optimize performance metrics, and present findings to executive stakeholders. If you're passionate about leveraging data to solve real-world challenges, apply today to become part of our innovative New York team.
Responsibilities
- Analyze large-scale datasets using SQL, Python, and statistical modeling techniques to identify trends and opportunities
- Design and maintain automated reporting dashboards in Tableau/Power BI for real-time business monitoring
- Collaborate with product teams to define KPIs and implement data-driven A/B testing frameworks
- Present complex findings to non-technical stakeholders through compelling visualizations and narratives
- Develop predictive models to forecast market trends and customer behavior patterns
- Optimize data pipelines and ensure data quality across multiple platforms
- Lead ad-hoc analyses to support strategic initiatives and troubleshoot operational challenges
Qualifications
- Bachelor's degree in Data Science, Statistics, Computer Science, or related field (Master's preferred)
- 3+ years of experience in data analysis with demonstrated impact in tech or SaaS environments
- Expert proficiency in SQL, Python (Pandas, NumPy), and visualization tools (Tableau/Power BI)
- Strong statistical knowledge including hypothesis testing, regression analysis, and experimental design
- Experience with cloud platforms (AWS, GCP, Azure) and data warehouse technologies
- Excellent communication skills with ability to translate technical insights for executive audiences
- Proven track record of developing data products that drive measurable business outcomes
- Portfolio showcasing 3+ end-to-end data analysis projects with clear methodologies