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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Analyst - Remote

Apex Data Systems
San Francisco
Estimated Salary
USD 140.000 – USD 180.000
Live Update
16 Juli 2026
Deadline
16 Jul 2027

Job Description

Are you a strategic thinker with a knack for uncovering insights? Apex Data Systems is looking for a Senior Data Analyst to join our innovative team in San Francisco. In this fully remote role, you will be the architect of our data strategy, transforming raw information into actionable intelligence that drives business growth.

Our team thrives on collaboration and curiosity. You will work closely with product managers, engineers, and executives to solve complex business problems using advanced statistical methods and cutting-edge data tools.

Responsibilities

  • Design, develop, and maintain complex SQL queries and ETL pipelines to support real-time reporting.
  • Create and manage interactive dashboards in Tableau and Power BI to visualize key performance indicators (KPIs).
  • Conduct in-depth data analysis and statistical modeling to identify trends, anomalies, and growth opportunities.
  • Partner with cross-functional stakeholders to define data requirements and translate business questions into technical solutions.
  • Present clear, data-driven insights and recommendations to senior leadership to influence strategic decision-making.
  • Ensure data quality, accuracy, and integrity across all data warehouses and analytics platforms.
  • Stay current with industry best practices in data analytics, machine learning, and data visualization.

Qualifications

  • Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • 5+ years of experience as a Data Analyst or Data Scientist, with a strong preference for candidates in remote-first roles.
  • Advanced proficiency in SQL (PostgreSQL, Redshift, or BigQuery) and Python (Pandas, Scikit-learn).
  • Expert-level experience with data visualization tools, specifically Tableau or Power BI.
  • Strong understanding of statistical analysis, A/B testing, and experimental design.
  • Excellent communication skills, with the ability to explain complex data concepts to non-technical audiences.

Required Skills

SQL Python Tableau Power BI Statistical Analysis Data Modeling ETL Data Warehousing

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