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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Analyst

Nexus Analytics
San Francisco
Salary Estimate
USD 120.000 – USD 160.000
Latest
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Nexus Analytics is at the forefront of leveraging big data to transform industries. We are seeking a highly skilled Senior Data Analyst to join our dynamic team in San Francisco. In this pivotal role, you will be responsible for driving strategic decision-making processes through advanced data modeling and insightful reporting. You will work closely with executive leadership and product teams to turn raw data into actionable business intelligence that fuels our growth.

Our ideal candidate is not just a number cruncher, but a strategic thinker who can communicate complex findings clearly. If you are passionate about uncovering trends, optimizing performance, and building scalable data solutions, we want to hear from you.

Responsibilities

  • Lead the end-to-end analysis of complex datasets to identify trends, patterns, and opportunities for business improvement.
  • Design, develop, and maintain interactive dashboards using Tableau and Power BI to visualize key performance indicators (KPIs) and drive executive visibility.
  • Collaborate with cross-functional teams (Marketing, Product, Operations) to define data requirements and translate business questions into analytical problems.
  • Perform statistical analysis and predictive modeling to forecast market trends and optimize operational efficiency.
  • Ensure data quality, integrity, and consistency across all reporting systems and databases.
  • Document data pipelines and analytical methodologies to maintain a scalable data architecture.

Qualifications

  • 5+ years of professional experience in data analysis, business intelligence, or a related quantitative field.
  • Advanced proficiency in SQL (PostgreSQL, MySQL) and programming languages such as Python or R.
  • Strong experience with visualization tools such as Tableau, Power BI, or Looker.
  • Proven track record of translating complex data into actionable insights for non-technical stakeholders.
  • Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related field (Master’s degree preferred).

Required Skills

SQL Python R Tableau Power BI Statistical Analysis Data Visualization ETL A/B Testing

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