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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Analyst

Nexus Analytics Global
San Francisco
Salary Estimate
USD 125.000 – USD 165.000
Latest
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Are you a storyteller who speaks in numbers? Nexus Analytics Global is looking for a strategic Senior Data Analyst to join our high-impact team in the heart of San Francisco. In this role, you will bridge the gap between complex datasets and actionable business strategy, driving decision-making for a global client base.

We foster a culture of curiosity and intellectual rigor. If you are passionate about transforming raw data into beautiful, intuitive insights, we want to meet you.

Responsibilities

  • Develop and maintain scalable dashboards using Tableau or Looker to visualize key business performance metrics.
  • Perform deep-dive exploratory data analysis to identify trends, patterns, and anomalies that impact bottom-line growth.
  • Collaborate with cross-functional stakeholders to define data requirements and optimize product roadmaps.
  • Design and implement A/B testing frameworks to validate product features and user engagement strategies.
  • Translate technical findings into clear, persuasive narratives for non-technical stakeholders and executive leadership.
  • Automate manual data extraction and reporting processes to increase operational efficiency across the analytics department.
  • Mentor junior analysts and contribute to the evolution of our internal data governance standards.

Qualifications

  • Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Economics, or a related quantitative field.
  • 5+ years of professional experience in data analysis, business intelligence, or product analytics.
  • Advanced proficiency in SQL (writing complex queries, window functions, and performance tuning).
  • Demonstrated experience with data visualization tools (Tableau, Looker, or Power BI).
  • Fluency in Python or R for data manipulation, statistical analysis, and scripting.
  • Strong understanding of statistical methodologies (regressions, hypothesis testing, probability distributions).
  • Excellent communication skills with the ability to articulate complex data stories to diverse audiences.

Required Skills

SQL Python Tableau Looker A/B Testing Data Modeling Statistics Business Intelligence

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