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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
10 Mei 2026
Deadline
10 Mei 2027

Job Description

Are you a data storyteller looking to shape the future of tech? Nexus Analytics is seeking a sharp, strategic Senior Data Analyst to join our high-impact team in San Francisco. You will turn raw datasets into actionable intelligence, driving product growth and operational excellence for our global enterprise clients.

We value intellectual curiosity, technical rigor, and the ability to influence decision-making at the executive level. If you thrive in a fast-paced environment where data is the heartbeat of every strategy, we want to hear from you.

Responsibilities

  • Architect and maintain automated dashboards to monitor key performance indicators (KPIs).
  • Conduct deep-dive exploratory data analysis to uncover trends, anomalies, and growth opportunities.
  • Translate complex technical insights into compelling narratives for non-technical stakeholders.
  • Collaborate with engineering teams to ensure data integrity and pipeline reliability.
  • Design and evaluate A/B experiments to optimize user engagement and retention features.
  • Partner with product managers to define tracking requirements for new product launches.
  • Provide ad-hoc quantitative support for strategic business initiatives.

Qualifications

  • Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, or a related quantitative field.
  • 4+ years of professional experience in data analysis, business intelligence, or product analytics.
  • Advanced proficiency in SQL and Python or R for data manipulation and statistical modeling.
  • Expert-level experience with data visualization tools such as Tableau, Looker, or Power BI.
  • Strong understanding of statistical significance, hypothesis testing, and regression analysis.
  • Excellent communication skills with a proven track record of presenting to leadership.
  • Experience working in a cloud-based data environment (AWS, GCP, or Snowflake).

Required Skills

SQL Python Tableau Looker Data Modeling Statistical Analysis A/B Testing Data Visualization

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