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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Analyst (Remote - San Jose, CA)

Apex Data Systems
San Jose
Estimated Salary
USD 95.000 – USD 135.000
Live Update
28 Juli 2026
Deadline
28 Jul 2027

Job Description

We are a premier technology firm based in Silicon Valley, and we are urgently seeking a skilled Data Analyst to join our high-impact team. In this role, you will bridge the gap between complex data and strategic decision-making, working from the comfort of your home while collaborating with industry leaders. We value innovation, analytical rigor, and the ability to drive business growth through data.

Why Join Us?
• Fully Remote/Hybrid flexibility for San Jose area candidates.
• Competitive compensation and comprehensive benefits package.
• Access to cutting-edge data tools and technologies.
• A culture that fosters continuous learning and professional growth.

Responsibilities

  • Drive Decision Making: Collaborate with cross-functional teams to identify key business metrics and translate complex requirements into actionable data analysis.
  • Data Modeling: Design, develop, and maintain complex data models and databases to support business intelligence initiatives.
  • Visualization: Create compelling, interactive dashboards and reports using Tableau, Power BI, or Looker to visualize trends and performance.
  • SQL Proficiency: Write advanced SQL queries to extract, clean, and manipulate large datasets efficiently.
  • Quality Assurance: Perform rigorous data validation and quality checks to ensure the integrity and accuracy of reporting.
  • Stakeholder Communication: Present data-driven insights and recommendations to stakeholders in a clear, concise, and persuasive manner.

Qualifications

  • Experience: Minimum of 3-5 years of professional experience as a Data Analyst or Business Intelligence Analyst.
  • Technical Skills: Strong proficiency in SQL (PostgreSQL, MySQL, or Snowflake) and Python or R.
  • Tools: Expert knowledge of data visualization tools (Tableau, Power BI, or Looker).
  • Education: Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
  • Communication: Exceptional ability to translate technical data findings into business value for non-technical audiences.

Required Skills

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

Ready to Take This Challenge?

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