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Information Technology 🏢 Full Time ⭐️ Terverifikasi

Senior Data Analyst

Nexus Analytics
San Francisco
Salary Estimation
USD 110.000 – USD 140.000
Live Update
5 Mei 2026
Expire at
6 Mei 2027

Job Description

Join Nexus Analytics as a Senior Data Analyst and transform raw data into actionable business intelligence. We're seeking a strategic thinker to drive data-driven decision-making across product, marketing, and operations teams. In this pivotal role, you'll leverage cutting-edge tools to uncover hidden patterns and deliver compelling visualizations that directly impact our company's growth trajectory. Our collaborative culture values curiosity and innovation, offering you the opportunity to shape our data strategy while working alongside industry experts.

Responsibility

  • Develop and maintain complex SQL queries to extract, transform, and analyze large datasets
  • Create interactive dashboards and reports using Tableau/Power BI for executive stakeholders
  • Design and implement A/B tests to validate product hypotheses and measure campaign effectiveness
  • Collaborate with cross-functional teams to define KPIs and track business performance metrics
  • Present findings to leadership with clear data-driven recommendations
  • Maintain and optimize data pipelines for efficiency and accuracy

Qualification

  • Bachelor's degree in Statistics, Computer Science, Economics, or related field
  • 5+ years of experience in data analysis with proven track record of driving business impact
  • Expert proficiency in SQL, Python (Pandas), and data visualization tools
  • Strong statistical analysis skills with experience in hypothesis testing and regression modeling
  • Experience with cloud platforms (AWS/GCP) and data warehousing solutions
  • Exceptional communication skills with ability to translate complex data for non-technical audiences
  • Portfolio demonstrating advanced analytics projects and visualizations

Required Skills

SQL Python Tableau Power BI Statistical Analysis Data Visualization AWS A/B Testing Data Warehousing

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