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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst - Remote / Weekly Pay | Oakland, CA

Apex Data Systems
Oakland
Estimated Salary
USD 70.000 – USD 100.000
Live Update
15 Juli 2026
Deadline
15 Jul 2027

Job Description

We are seeking a highly analytical Data Analyst to join our innovative team in Oakland, CA. This position offers the flexibility of remote options combined with the financial benefit of weekly pay, making it an exceptional opportunity for professionals seeking stability and work-life balance.

As a Data Analyst, you will be responsible for interpreting complex data sets to provide actionable insights that drive strategic decision-making. You will work closely with cross-functional teams to identify trends, optimize business processes, and improve overall performance.

Responsibilities

  • Data Mining & Cleaning: Collect, clean, and validate large datasets to ensure accuracy and reliability for analysis.
  • Statistical Analysis: Perform complex statistical analysis to identify trends, correlations, and patterns within the data.
  • Visualization: Create compelling dashboards and reports using Tableau, Power BI, or similar tools to communicate findings effectively.
  • SQL & Database Management: Write and optimize SQL queries to retrieve data from various databases and data warehouses.
  • Business Intelligence: Collaborate with stakeholders to define key performance indicators (KPIs) and track progress against goals.
  • Process Improvement: Use data-driven insights to recommend improvements to business operations and strategies.

Qualifications

  • Experience: 2+ years of professional experience as a Data Analyst or Data Scientist.
  • Technical Skills: Proficiency in SQL (PostgreSQL, MySQL), Python, or R; strong Excel skills required.
  • Visualization Tools: Experience with data visualization tools such as Tableau, Power BI, or Looker.
  • Education: Bachelor’s degree in Computer Science, Mathematics, Statistics, or a related field.
  • Communication: Excellent ability to translate complex data into clear, understandable insights for non-technical audiences.

Required Skills

SQL Python R Tableau Power BI Excel Data Mining Statistical Analysis Data Visualization

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