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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst

TechNova Solutions
San Jose
Estimated Salary
USD 95.000 – USD 135.000
New
Live Update
16 September 2026
Deadline
16 Sep 2027

Job Description

Join TechNova Solutions, a leader in AI-driven enterprise software, as a Data Analyst in our San Jose headquarters. You'll transform complex datasets into actionable insights that drive strategic decisions across product, marketing, and operations teams. Collaborate with cross-functional experts in a fast-paced, innovation-driven environment while leveraging cutting-edge analytics tools to shape our product roadmap.

We offer comprehensive benefits including health insurance, 401(k) matching, flexible work arrangements, and professional development stipends. Our downtown San Jose office is steps from light rail and features modern collaborative spaces.

Responsibilities

  • Design and implement automated data pipelines using SQL and Python to ensure real-time data accessibility
  • Create interactive dashboards and visualizations using Tableau/Power BI for executive stakeholders
  • Conduct ad-hoc statistical analysis to identify market trends and customer behavior patterns
  • Develop predictive models to support product optimization and campaign targeting
  • Present findings to leadership teams with clear, actionable recommendations
  • Maintain data quality standards through rigorous validation and documentation processes

Qualifications

  • Bachelor's degree in Statistics, Computer Science, Mathematics, or related field
  • 3+ years of experience in data analysis or business intelligence roles
  • Expert proficiency in SQL and Python (Pandas, NumPy)
  • Advanced knowledge of data visualization tools (Tableau/Power BI)
  • Experience with statistical modeling and hypothesis testing
  • Strong business acumen with ability to translate technical findings into strategy
  • Proven track record of delivering data-driven solutions in SaaS environments

Required Skills

SQL Python Tableau Power BI Data Visualization Statistical Analysis Business Intelligence ETL Predictive Modeling

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