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Information Technology 🏢 Full Time ⭐️ Verified

Urgently Hiring: Data Analyst (Weekend Shift) | California | Equity Options

Apex Data Systems
San Jose
Estimated Salary
USD 90.000 – USD 125.000
Live Update
8 Juli 2026
Deadline
8 Jul 2027

Job Description

Are you a detail-oriented Data Analyst looking for a flexible schedule?

We are a leading tech firm in California urgently seeking a skilled Data Analyst to join our weekend operations team. This is a unique opportunity to work on high-impact data projects with a competitive salary, comprehensive benefits, and a generous Equity Options package.

In this role, you will play a critical part in transforming raw data into actionable business intelligence. You will work closely with our senior leadership to drive decision-making processes during off-peak hours. If you are passionate about SQL, Python, and data visualization, we want to hear from you.

Responsibilities

  • Extract, clean, and transform large datasets using SQL and Python to ensure data accuracy for weekend reporting.
  • Design and maintain interactive dashboards (e.g., Tableau, Power BI) to visualize key performance indicators (KPIs).
  • Collaborate with cross-functional teams to understand business requirements and deliver data-driven insights.
  • Perform statistical analysis to identify trends, anomalies, and opportunities for process improvement.
  • Create comprehensive weekly and monthly reports for stakeholders.
  • Maintain data governance protocols and ensure compliance with data security standards.

Qualifications

  • Bachelor’s degree in Mathematics, Computer Science, Statistics, or a related field.
  • Proven experience as a Data Analyst, preferably with weekend or shift work experience.
  • Strong proficiency in SQL (Advanced queries, joins, stored procedures).
  • Proficiency in programming languages such as Python or R.
  • Experience with data visualization tools like Tableau, Looker, or Power BI.
  • Excellent problem-solving skills and the ability to communicate complex data findings to non-technical audiences.

Required Skills

SQL Python Tableau Data Visualization Statistical Analysis Excel Data Cleaning Business Intelligence R

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