Job Description
Join NexusTech Solutions as a Senior Data Analyst and transform raw data into strategic insights that drive our innovation forward.
We're urgently hiring a passionate Data Analyst to join our elite team in New York. As a leader in AI-driven technology, NexusTech empowers global enterprises through cutting-edge data solutions. This full-time role offers unparalleled growth opportunities, competitive benefits, and the chance to work with industry pioneers shaping the future of tech.
Why NexusTech? Our culture celebrates curiosity, collaboration, and continuous learning. You'll access mentorship from industry veterans, flexible work arrangements, and comprehensive health coverage—all while making measurable impact at the intersection of data science and business strategy.
Responsibilities
- Design and implement robust data pipelines using SQL, Python, and cloud platforms (AWS/GCP)
- Develop interactive dashboards and visualizations with Tableau/Power BI for executive stakeholders
- Perform advanced statistical analysis and machine learning modeling to identify market trends
- Collaborate with cross-functional teams to translate complex data into actionable business strategies
- Lead A/B testing frameworks and experimental design for product optimization
- Maintain data integrity through rigorous quality assurance and governance protocols
- Present findings to executive leadership through compelling data storytelling
Qualifications
- Bachelor's degree in Data Science, Statistics, Computer Science, or related field (Master's preferred)
- 5+ years of progressive experience in data analytics for tech companies
- Expert proficiency in SQL, Python (Pandas/NumPy), and statistical analysis tools
- Proven track record building scalable data pipelines and ETL processes
- Advanced skills in data visualization (Tableau, Power BI, or D3.js)
- Familiarity with cloud platforms (AWS/GCP) and big data technologies (Spark, Hadoop)
- Exceptional problem-solving abilities with strong business acumen
- Portfolio demonstrating impactful data-driven projects