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Senior Data Analyst (Weekend Shift) - San Diego, CA

Apex Data Systems
San Diego
Estimated Salary
USD 85.000 – USD 110.000
Live Update
9 Juli 2026
Deadline
9 Jul 2027

Job Description

Are you a data-driven professional looking for a flexible, high-impact role with a top-tier technology firm? Apex Data Systems is seeking a highly skilled Data Analyst (Weekend Shift) to join our elite analytics team in San Diego, CA.

We are on a mission to revolutionize the way our clients leverage data for growth. As a Weekend Analyst, you will own the data integrity and reporting processes that set the stage for our team's success during the week. This is an opportunity to work with cutting-edge technologies while enjoying the work-life balance of a dedicated weekend schedule.

Responsibilities

  • Advanced Data Modeling: Design and maintain complex data models and ETL pipelines to ensure data accuracy and consistency across all weekend operations.
  • Executive Reporting: Generate high-level performance dashboards and weekly reports for C-suite executives, highlighting critical business trends and forecasting.
  • Root Cause Analysis: Investigate data discrepancies and system anomalies to identify root causes and implement long-term preventative solutions.
  • Tool Optimization: Continuously improve data visualization tools (Tableau/PowerBI) to enhance the usability and speed of data access for stakeholders.
  • Statistical Analysis: Apply advanced statistical methods and machine learning algorithms to predict market trends and optimize operational efficiency.
  • Stakeholder Collaboration: Partner with cross-functional teams to define data requirements and translate business questions into technical analysis tasks.

Qualifications

  • Education: Bachelor’s degree in Data Science, Statistics, Economics, or a related quantitative field.
  • Experience: Minimum of 4+ years of experience in data analysis, business intelligence, or a similar technical role.
  • Technical Proficiency: Deep expertise in SQL (PostgreSQL, MySQL) and scripting languages such as Python or R.
  • Visualization: Strong portfolio demonstrating proficiency in data visualization tools, specifically Tableau or PowerBI.
  • Problem Solving: Demonstrated ability to solve complex problems using data-driven methodologies.
  • Communication: Excellent verbal and written communication skills with the ability to explain complex technical concepts to non-technical audiences.

Required Skills

SQL Python R Tableau PowerBI ETL Statistical Analysis Data Warehousing Excel

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