Job Description
Join TechNova Solutions, a leading tech innovator, as we urgently seek a Senior Data Analyst to drive data-driven decision-making across our Portland headquarters. You'll transform complex datasets into actionable insights that shape our product roadmap and optimize business operations. This is a rare opportunity to impact high-growth initiatives in a collaborative, cutting-edge environment.
Our ideal candidate thrives in fast-paced settings and possesses exceptional analytical skills. You'll work closely with engineering and product teams to solve real-world challenges using advanced statistical methods and visualization techniques. TechNova offers competitive benefits, flexible work arrangements, and career advancement opportunities in one of America's most vibrant tech hubs.
Responsibilities
- Design and implement end-to-end data pipelines to collect, clean, and analyze large datasets
- Create compelling visualizations using Tableau and Power BI to communicate insights to stakeholders
- Develop predictive models to forecast market trends and user behavior patterns
- Collaborate with cross-functional teams to define KPIs and track performance metrics
- Present findings to executive leadership through clear, actionable reports
- Automate reporting processes to enhance efficiency and data accessibility
- Maintain data governance standards and ensure data quality across systems
Qualifications
- Bachelor's degree in Data Science, Statistics, Computer Science, or related field (Master's preferred)
- 5+ years of experience in data analysis or business intelligence roles
- Expert proficiency in SQL, Python (Pandas, NumPy), and statistical modeling
- Advanced knowledge of data visualization tools (Tableau, Power BI, Looker)
- Experience with cloud platforms (AWS, GCP, Azure) and big data technologies
- Strong problem-solving skills with ability to translate business questions into analytical solutions
- Excellent communication skills with ability to articulate complex concepts to non-technical audiences
- Portfolio demonstrating impactful data-driven projects