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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Analyst

TechNova Solutions
San Jose, CA
Estimated Salary
USD 95.000 – USD 125.000
New
Live Update
14 Oktober 2026
Deadline
14 Okt 2027

Job Description

Join our dynamic data team at TechNova Solutions, where innovation meets insight. We're seeking a passionate Senior Data Analyst to transform complex datasets into actionable strategies that drive business growth in the heart of Silicon Valley. You'll collaborate with cross-functional teams to uncover market trends, optimize operations, and deliver compelling data narratives to C-level executives.

Our San Jose headquarters offers a collaborative environment with cutting-edge technology, competitive benefits, and opportunities for professional growth in the tech industry. If you thrive in fast-paced environments and love turning data into decisions, we want to meet you!

Responsibilities

  • Design and implement robust data pipelines to collect, clean, and analyze large datasets from multiple sources
  • Develop interactive dashboards and visualizations using Tableau and Power BI to track KPIs and business metrics
  • Perform statistical analysis and A/B testing to identify growth opportunities and optimize product performance
  • Create comprehensive data reports and presentations for stakeholders across engineering, marketing, and product teams
  • Collaborate with engineering teams to improve data infrastructure and ensure data quality standards
  • Lead ad-hoc analyses to support strategic initiatives and answer critical business questions

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field (Master's preferred)
  • 5+ years of experience as a Data Analyst in a tech or data-driven environment
  • Expert proficiency in SQL, Python (Pandas, NumPy), and data visualization tools (Tableau/Power BI)
  • Strong statistical analysis skills with experience in hypothesis testing and experimental design
  • Proven ability to translate complex findings into actionable business recommendations
  • Experience with cloud platforms (AWS/GCP/Azure) and big data technologies (Spark, Hadoop)
  • Excellent communication skills with the ability to present data insights to non-technical stakeholders

Required Skills

SQL Python Tableau Power BI Statistical Analysis Data Visualization AWS Spark Data Pipeline Design

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