Job Description
Join our elite remote team as a Data Analyst and transform raw insights into strategic business solutions! Nexus Analytics is urgently hiring a talented professional to drive data-driven decision-making for our Minneapolis-based clients. This 100% remote position offers competitive compensation, flexible hours, and the opportunity to work with Fortune 500 companies while enjoying Minneapolis' renowned quality of life.
We're seeking a detail-oriented analyst who can uncover hidden patterns in complex datasets and communicate findings to non-technical stakeholders. You'll collaborate with cross-functional teams to optimize marketing campaigns, improve operational efficiency, and identify growth opportunities. Our collaborative culture emphasizes innovation, work-life balance, and continuous learning.
Responsibilities
- Analyze complex datasets using SQL, Python, and statistical modeling to identify trends and anomalies
- Create interactive dashboards and visualizations using Tableau/Power BI for executive presentations
- Develop automated reporting pipelines to deliver real-time insights to stakeholders
- Collaborate with product teams to design data collection strategies for new initiatives
- Present findings to leadership through clear, compelling narratives with actionable recommendations
- Maintain data integrity through rigorous validation and documentation practices
- Stay current with industry trends and emerging analytical technologies
Qualifications
- Bachelor's degree in Data Science, Statistics, Computer Science, or related field
- 3+ years of professional data analysis experience with remote work preference
- Expert proficiency in SQL, Python (Pandas, NumPy), and data visualization tools
- Strong statistical knowledge and experimental design capabilities
- Proven ability to translate complex data into business narratives
- Experience with cloud platforms (AWS, GCP, or Azure) data services
- Excellent written and verbal communication skills
- Portfolio demonstrating analytical projects and visualizations