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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst - Remote (San Diego, CA)

NexusTech Innovations
San Diego
Estimated Salary
USD 90.000 – USD 140.000
Live Update
12 Agustus 2026
Deadline
12 Agu 2027

Job Description

Join NexusTech Innovations, a leading AI-driven tech company, as we revolutionize data-driven decision-making! We're urgently seeking a talented Data Analyst to join our remote team in San Diego, CA. This is your opportunity to work with cutting-edge technologies in a dynamic environment that values innovation and impact.


As a Data Analyst, you'll transform complex datasets into actionable insights that drive strategic business initiatives. Our remote-first culture offers flexible hours while maintaining high collaboration standards. Enjoy competitive compensation, comprehensive benefits, and the chance to shape the future of analytics.

Responsibilities

  • Design and implement scalable data pipelines using SQL, Python, and cloud platforms
  • Develop interactive dashboards using Tableau/Power BI for executive stakeholders
  • Perform statistical analysis to identify trends and forecast business outcomes
  • Collaborate with cross-functional teams to define KPIs and success metrics
  • Present findings through compelling visualizations and executive summaries
  • Automate reporting processes to improve efficiency and accuracy
  • Ensure data quality through rigorous validation and cleaning protocols

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of experience in data analysis with proven portfolio
  • Expert proficiency in SQL, Python (Pandas, NumPy), and visualization tools
  • Strong statistical knowledge and experience with hypothesis testing
  • Experience with cloud platforms (AWS, Azure, or GCP)
  • Excellent communication skills with ability to translate complex insights
  • Proactive problem-solver with attention to detail

Required Skills

SQL Python Tableau Power BI AWS Data Visualization Statistical Analysis Data Pipeline Development Cloud Platforms

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