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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
28 Mei 2026
Deadline
28 Mei 2027

Job Description

Unlock the Power of Data with Nexus Analytics

Are you a data storyteller with a passion for driving strategic decisions? Nexus Analytics is seeking a sharp, analytical mind to join our elite Data Insights team. You will work at the intersection of business strategy and engineering, transforming complex datasets into actionable intelligence that shapes the future of our product roadmap.

We foster a culture of curiosity, rapid iteration, and technical excellence. If you thrive in a fast-paced environment and love turning ambiguity into clarity, we want to hear from you.

Responsibilities

  • Develop and maintain automated dashboards to track key performance indicators (KPIs) and operational metrics.
  • Translate business objectives into analytical frameworks and clear, actionable hypotheses.
  • Conduct deep-dive exploratory data analysis to uncover hidden trends and performance gaps.
  • Collaborate with cross-functional teams, including Engineering, Product, and Marketing, to optimize product features.
  • Design and interpret A/B testing experiments to drive user acquisition and retention strategies.
  • Maintain high standards of data integrity and documentation across all internal reporting tools.
  • Present data-driven narratives to executive leadership to influence high-stakes decision-making.

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 for data extraction and manipulation from large-scale databases.
  • Expert-level expertise in data visualization tools such as Tableau, Looker, or Power BI.
  • Strong working knowledge of Python or R for data analysis and statistical modeling.
  • Proven ability to communicate complex data findings to non-technical stakeholders effectively.
  • Strong understanding of experimental design, statistical significance, and cohort analysis.

Required Skills

SQL Tableau Python Data Modeling A/B Testing Business Intelligence Statistical Analysis

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