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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Analyst | Transform Insights into Action | San Francisco, CA

Nexus Data Solutions
San Francisco
Salary Estimate
USD 90.000 – USD 130.000
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

We are looking for a visionary Senior Data Analyst to join our elite team at Nexus Data Solutions. In this role, you won't just be crunching numbers; you will be the architect of our data strategy, turning raw information into actionable intelligence that drives business growth.


At Nexus, we believe in the power of data to democratize decision-making. You will work in a collaborative, high-performance environment where your insights will directly influence product development, marketing strategies, and operational efficiency. If you are passionate about uncovering stories hidden in datasets and have a knack for translating complex analytics into clear business value, we want to meet you.


Why Join Us?

  • Competitive compensation and equity packages.
  • Flexible remote-first culture with a focus on work-life balance.
  • Access to the latest tools and technologies in data science.
  • Clear pathways for career advancement and leadership roles.

Responsibilities

  • Advanced Data Modeling: Design, build, and maintain complex data models and databases to ensure data integrity and accessibility.
  • Visualization & Reporting: Create intuitive, interactive dashboards (using Tableau or PowerBI) that provide real-time insights to stakeholders.
  • Statistical Analysis: Conduct deep-dive statistical analysis and predictive modeling to forecast trends and identify opportunities.
  • Cross-Functional Collaboration: Partner with product managers, engineers, and executives to understand business challenges and deliver data-driven solutions.
  • Process Optimization: Automate reporting workflows to increase efficiency and reduce manual data entry errors.
  • Data Governance: Establish and enforce data quality standards and best practices across the organization.

Qualifications

  • Education: Bachelor’s degree in Mathematics, Statistics, Computer Science, Economics, or a related quantitative field.
  • Experience: 3+ years of professional experience in data analysis, business intelligence, or a similar role.
  • Technical Skills: Proficiency in SQL for complex querying; strong experience with Python or R for data manipulation.
  • Visualization Tools: Expertise in Tableau, PowerBI, or Looker is required.
  • Communication: Exceptional ability to translate complex technical findings into clear, concise narratives for non-technical audiences.
  • Soft Skills: Strong problem-solving skills, attention to detail, and the ability to thrive in a fast-paced, agile environment.

Required Skills

SQL Python R Tableau PowerBI Statistical Analysis Data Mining Data Modeling Excel Business Intelligence Agile

Ready to Take on This Challenge?

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