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Information Technology 🏢 Full Time ⭐️ Verified

Junior Data Analyst (Remote) - San Jose, CA

Nexus Data Systems
San Jose
Estimated Salary
USD 60.000 – USD 85.000
Live Update
16 Agustus 2026
Deadline
16 Agu 2027

Job Description

Are you ready to launch your career in the world of data? Nexus Data Systems is seeking a passionate and eager Junior Data Analyst to join our dynamic, remote-first team in San Jose, CA.

We are looking for individuals who possess a natural curiosity and a drive to uncover insights from complex datasets. In this role, you will work closely with senior analysts to support our core business operations, helping us make data-driven decisions that shape the future of our industry.

Why Join Us?

  • Remote-First Culture: Work from anywhere in the US, with a focus on flexibility and work-life balance.
  • Career Growth: Comprehensive mentorship programs designed for entry-level professionals.
  • Modern Tech Stack: Work with cutting-edge tools including SQL, Python, and Tableau.

What You Will Do:

You will be the backbone of our analytical efforts, ensuring our data is accurate, accessible, and actionable. This is a fantastic opportunity for someone with a strong foundation in math or statistics looking to apply their skills in a real-world corporate environment.

Responsibilities

  • Data Collection & Cleaning: Gather raw data from various sources and perform rigorous cleaning to ensure high-quality datasets for analysis.
  • Reporting & Visualization: Develop clear, concise, and visually appealing dashboards and reports to communicate key insights to stakeholders.
  • Statistical Analysis: Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies within the data.
  • Database Support: Assist in maintaining database structures and ensuring data integrity across platforms.
  • Collaboration: Partner with product and engineering teams to understand data requirements and propose solutions.
  • Documentation: Create and update documentation for data processes and analysis methodologies.

Qualifications

  • Education: Bachelor’s degree in Mathematics, Statistics, Computer Science, Economics, or a related field (or equivalent work experience).
  • Technical Skills: Proficiency in Microsoft Excel (pivot tables, VLOOKUP). Familiarity with SQL is highly preferred.
  • Tools: Basic knowledge of data visualization tools (e.g., Tableau, Power BI, or Google Data Studio).
  • Soft Skills: Strong problem-solving abilities and attention to detail.
  • Communication: Ability to translate complex data findings into simple, understandable insights for non-technical audiences.
  • Experience: Previous internship or academic projects involving data analysis are a plus, but not mandatory.

Required Skills

SQL Excel Python Tableau Power BI Data Analysis Statistical Analysis Data Cleaning Reporting

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

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