Job Description
Join our award-winning data team as a Senior Data Analyst and transform raw insights into actionable business strategies! InnovateData Solutions is urgently hiring a remote Data Analyst to support our Oakland-based clients in the tech and healthcare sectors. This is a full-time, 100% remote position with flexible hours and comprehensive benefits.
We're seeking a detail-oriented analyst with expertise in SQL, Python, and data visualization to drive data-driven decision-making. You'll collaborate with cross-functional teams to identify trends, build predictive models, and deliver impactful dashboards that directly influence company growth.
Why Join Us?
• Competitive salary + performance bonuses
• $5,000 annual professional development stipend
• 100% remote work with flexible schedule
• Premium health/dental/vision insurance
• Quarterly innovation hackathons
Responsibilities
- Analyze complex datasets using SQL and Python to identify business opportunities and risks
- Design and maintain interactive dashboards in Tableau/Power BI for executive stakeholders
- Lead A/B testing initiatives to optimize marketing campaigns and product features
- Collaborate with engineering teams to improve data pipeline efficiency and accuracy
- Present findings to C-suite executives through compelling data narratives
- Mentor junior analysts on best practices in data governance and analytics
- Develop predictive models to forecast market trends and customer behavior
Qualifications
- Bachelor’s degree in Data Science, Statistics, Computer Science, or related field
- 4+ years of professional data analysis experience in a corporate setting
- Expert proficiency in SQL (joins, CTEs, window functions) and Python (Pandas, NumPy)
- Advanced experience with data visualization tools (Tableau/Power BI)
- Proven track record of translating complex data into business recommendations
- Familiarity with statistical analysis (hypothesis testing, regression modeling)
- Strong written and verbal communication skills for executive audiences
- Portfolio demonstrating impactful data-driven projects