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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Analyst

Nexus Analytics Solutions
San Francisco
Salary Estimate
USD 125.000 – USD 160.000
Live Update
1 Juni 2026
Deadline
1 Jun 2027

Job Description

Are you a data-driven storyteller with a passion for uncovering actionable insights? Nexus Analytics Solutions is seeking a Senior Data Analyst to join our high-impact growth team in San Francisco. You will play a pivotal role in shaping our product strategy and optimizing revenue streams by turning complex datasets into clear, executive-level narratives.

We foster a collaborative culture that values technical excellence, curiosity, and speed. If you thrive in a fast-paced environment and love solving non-trivial problems, we want to meet you.

Responsibilities

  • Architect and maintain automated dashboards to track key performance indicators (KPIs).
  • Partner with cross-functional product and engineering teams to identify opportunities for data-driven optimization.
  • Conduct deep-dive exploratory analyses to understand user behavior and churn triggers.
  • Develop and refine SQL queries for complex datasets stored in Snowflake and BigQuery.
  • Design A/B testing frameworks to validate product features and marketing initiatives.
  • Present monthly performance reports to senior leadership with actionable strategic recommendations.
  • Implement data quality controls to ensure accuracy across all reporting pipelines.

Qualifications

  • Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • 4+ years of professional experience in data analysis or business intelligence roles.
  • Advanced proficiency in SQL and Python (Pandas, NumPy, Matplotlib).
  • Hands-on expertise with visualization tools such as Tableau, Looker, or Power BI.
  • Strong grasp of statistical significance, hypothesis testing, and regression analysis.
  • Excellent communication skills with the ability to translate technical findings for non-technical stakeholders.
  • Experience working in a cloud-native environment (AWS/GCP) is a significant plus.

Required Skills

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

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