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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Analyst

Nexus Analytics Global
San Francisco
Salary Estimate
USD 130.000 – USD 165.000
Live Update
9 Mei 2026
Deadline
9 Mei 2027

Job Description

Are you a data storyteller looking to shape the future of product intelligence? Nexus Analytics is seeking a sharp, driven Senior Data Analyst to join our elite engineering hub in San Francisco. You will turn raw datasets into actionable strategic insights that influence executive decisions and drive multi-million dollar growth.

We value intellectual curiosity, technical precision, and the ability to bridge the gap between complex algorithms and business strategy.

Responsibilities

  • Architect and maintain complex SQL queries to extract, clean, and analyze high-volume datasets.
  • Develop and automate interactive dashboards using Tableau or Looker to provide real-time business performance visibility.
  • Perform deep-dive exploratory data analysis to identify trends, outliers, and opportunities for product optimization.
  • Collaborate with cross-functional teams, including Engineering and Product, to design A/B tests and evaluate feature performance.
  • Transform technical findings into compelling presentations for non-technical stakeholders and leadership.
  • Ensure data integrity and quality across all internal reporting pipelines.
  • Mentor junior analysts on best practices for data modeling and statistical rigor.

Qualifications

  • Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, or a related quantitative field.
  • Minimum 4+ years of professional experience in data analysis or business intelligence roles.
  • Advanced proficiency in SQL is non-negotiable; comfortable with window functions, joins, and complex CTEs.
  • Strong experience with Python or R for data manipulation and statistical analysis.
  • Proven expertise in data visualization tools (Tableau, PowerBI, or Looker).
  • Excellent communication skills with the ability to explain complex data narratives clearly.
  • Familiarity with cloud-based data warehouses such as Snowflake, BigQuery, or Redshift.

Required Skills

SQL Python Tableau Data Visualization A/B Testing Statistical Modeling BigQuery Data Modeling

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