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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
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Are you a data-driven storyteller ready to influence product strategy at a high-growth tech firm? Nexus Analytics is looking for a sharp Senior Data Analyst to join our central insights team in San Francisco. You will turn raw, complex datasets into actionable narratives that drive business outcomes.

In this role, you will be embedded within cross-functional teams, bridging the gap between technical infrastructure and executive decision-making. If you thrive on deep analytical challenges and enjoy visualizing the 'why' behind the numbers, we want to hear from you.

Responsibilities

  • Design and maintain automated dashboards to track KPIs and operational health.
  • Partner with product management and engineering to define success metrics for new features.
  • Perform deep-dive exploratory data analysis to uncover hidden trends and user behaviors.
  • Translate complex technical findings into clear, executive-level summaries and presentations.
  • Standardize data reporting protocols to ensure cross-departmental consistency and integrity.
  • Advise on A/B testing methodologies to optimize user conversion and engagement rates.
  • Mentor junior analysts on best practices for data modeling and SQL query optimization.

Qualifications

  • Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, or equivalent experience.
  • 4+ years of professional experience in data analysis, business intelligence, or data engineering.
  • Expert-level proficiency in SQL and experience with Python or R for data manipulation.
  • Demonstrated experience with visualization tools such as Tableau, Looker, or Power BI.
  • Strong grasp of statistical modeling, hypothesis testing, and probability concepts.
  • Proven ability to manage stakeholder relationships and communicate insights effectively.
  • Experience working in cloud-based data environments like AWS Redshift, BigQuery, or Snowflake.

Required Skills

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

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