Job Description
Join our award-winning analytics team as a Data Analyst and transform raw data into actionable business insights! We're urgently hiring for remote and on-site positions in San Diego, CA, with flexible work arrangements. If you're passionate about uncovering trends, optimizing processes, and driving data-driven decisions, this is your opportunity to make an immediate impact.
As a key member of our Data Strategy division, you'll collaborate with cross-functional teams to analyze complex datasets, develop predictive models, and present compelling visualizations to stakeholders. Our culture values innovation, collaboration, and continuous learning—perfect for ambitious analysts ready to accelerate their careers.
What You'll Love:
• Competitive salary + performance bonuses
• Comprehensive health benefits and 401(k) matching
• Flexible remote work options (3 days/week in-office)
• Professional development stipend
• Cutting-edge analytics tools and AWS infrastructure
Responsibilities
- Analyze complex datasets using SQL, Python, and Tableau to identify business trends and opportunities
- Develop interactive dashboards and reports for executive leadership teams
- Collaborate with product, marketing, and operations teams to define KPIs and success metrics
- Implement statistical models to forecast market trends and customer behavior
- Create automated data pipelines to ensure real-time insights and accuracy
- Present findings to stakeholders through compelling visual storytelling
- Maintain data governance standards and ensure compliance with privacy regulations
Qualifications
- Bachelor's degree in Data Science, Statistics, Computer Science, or related field
- 3+ years of experience in data analysis or business intelligence roles
- Expert proficiency in SQL, Python (Pandas/NumPy), and data visualization tools
- Strong understanding of statistical analysis and experimental design
- Experience with cloud platforms (AWS/GCP) and ETL processes
- Proven ability to translate complex data into actionable business recommendations
- Excellent communication skills with ability to present to non-technical audiences
- Portfolio demonstrating impactful data-driven projects