Job Description
Join our award-winning data team at Nexus Analytics Group, where we transform raw data into strategic business solutions. As a Senior Data Analyst, you'll drive data-driven decision-making for Fortune 500 clients across diverse industries. We offer a collaborative, growth-focused environment with cutting-edge tools and opportunities to shape our analytics roadmap.
Our Phoenix headquarters features state-of-the-art facilities, flexible work arrangements, and a culture that values innovation and work-life balance. We're seeking a detail-oriented professional passionate about uncovering insights that impact real-world business outcomes.
Responsibilities
- Analyze complex datasets using SQL, Python, and visualization tools to identify trends and business opportunities
- Develop interactive dashboards and reports using Tableau/Power BI for executive stakeholders
- Collaborate with cross-functional teams to define analytical requirements and deliver actionable insights
- Design and implement A/B testing frameworks to optimize marketing campaigns and product features
- Present findings to senior leadership through compelling data storytelling and visualizations
- Maintain data integrity through rigorous validation processes and documentation standards
- mentor junior analysts and contribute to continuous improvement of analytics methodologies
Qualifications
- Bachelor's degree in Statistics, Mathematics, Computer Science, or related field (Master's preferred)
- 5+ years of experience in data analysis with proven track record in business intelligence
- Advanced proficiency in SQL, Python (Pandas/NumPy), and at least one BI tool (Tableau/Power BI)
- Strong statistical analysis skills including hypothesis testing, regression modeling, and experimental design
- Experience with cloud platforms (AWS/GCP/Azure) and big data technologies (Spark/Hadoop)
- Exceptional communication skills with ability to translate technical insights for non-technical audiences
- Certification in data analytics (e.g., Google Data Analytics, Microsoft Azure Data Engineer) preferred