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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Analyst

Nexus Analytics
San Diego, CA
Estimated Salary
USD 95.000 – USD 130.000
New
Live Update
6 September 2026
Deadline
6 Sep 2027

Job Description

Join Nexus Analytics as a Remote-Friendly Senior Data Analyst and transform complex data into actionable business insights. We're a cutting-edge tech firm revolutionizing healthcare analytics, and we need your expertise to drive data-driven decisions. Enjoy flexible remote work with quarterly in-person collaboration sessions in our stunning San Diego headquarters. We offer competitive compensation, comprehensive benefits, and a culture that values innovation and work-life balance.

What You'll Love:

  • 100% remote work with optional office access
  • Professional development stipend
  • Flexible scheduling and generous PTO
  • Modern tech stack and collaborative tools

Responsibilities

  • Analyze complex datasets using SQL, Python, and R to identify trends and opportunities
  • Create compelling data visualizations using Tableau and Power BI for executive stakeholders
  • Develop predictive models to forecast business outcomes and optimize operations
  • Collaborate with cross-functional teams to translate data insights into actionable strategies
  • Design and automate data pipelines to improve reporting efficiency
  • Mentor junior analysts and promote best practices in data governance

Qualifications

  • Bachelor's degree in Data Science, Statistics, or related field (Master's preferred)
  • 5+ years of professional data analysis experience
  • Expert proficiency in SQL, Python (Pandas, NumPy), and statistical analysis
  • Advanced skills in data visualization tools (Tableau, Power BI)
  • Experience with cloud platforms (AWS, Azure, or GCP)
  • Strong business acumen and ability to communicate technical insights to non-technical audiences
  • Portfolio demonstrating impactful data projects

Required Skills

SQL Python Tableau Power BI AWS Statistical Analysis Data Visualization Predictive Modeling Data Governance

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