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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Analyst

Nexus Analytics
San Francisco
Estimated Salary
USD 130.000 – USD 180.000
New
Live Update
17 September 2026
Deadline
17 Sep 2027

Job Description

Join Nexus Analytics, a leading AI-driven insights platform, as we revolutionize how Fortune 500 companies make data-driven decisions. We're seeking a meticulous Senior Data Analyst to transform complex datasets into actionable strategies that directly impact our product roadmap and business growth. This role offers unparalleled exposure to cutting-edge analytics tools and mentorship from industry veterans in our state-of-the-art downtown San Francisco headquarters.

Enjoy competitive benefits including equity, unlimited PTO, and flexible work arrangements while collaborating with top-tier talent across engineering, product, and executive teams. You'll shape our data culture while accelerating your career in one of the world's most vibrant tech ecosystems.

Responsibilities

  • Design and implement end-to-end data pipelines using SQL, Python, and cloud platforms (AWS/GCP)
  • Develop interactive dashboards and visualizations using Tableau/Power BI to communicate insights to stakeholders
  • Perform statistical analysis and A/B testing to validate product hypotheses and drive feature optimization
  • Collaborate with cross-functional teams to translate business requirements into analytical frameworks
  • Automate reporting workflows and maintain data governance standards across the organization
  • Mentor junior analysts and contribute to best practices in data documentation and modeling

Qualifications

  • Bachelor's degree in Statistics, Computer Science, Economics, or related field (MS preferred)
  • 5+ years of experience in data analysis with proven track record in tech/SAAS environments
  • Expert proficiency in SQL, Python (Pandas/NumPy), and visualization tools (Tableau/Power BI)
  • Strong statistical knowledge with experience in experimental design and causal inference
  • Experience with cloud data warehouses (BigQuery, Redshift, Snowflake) and ETL processes
  • Exceptional communication skills with ability to translate technical insights for non-technical audiences
  • Portfolio demonstrating impactful data-driven projects with quantifiable results

Required Skills

SQL Python Tableau AWS Data Visualization Statistical Analysis A/B Testing Data Pipelines

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