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Information Technology 🏢 Full Time ⭐️ Verified

Remote Data Analyst - Weekly Pay - Oakland, CA

DataDriven Solutions Inc.
Oakland
Estimated Salary
USD 75.000 – USD 95.000
Live Update
29 Juli 2026
Deadline
29 Jul 2027

Job Description

Join DataDriven Solutions Inc. as a Remote Data Analyst and transform raw data into actionable business insights. Enjoy the flexibility of remote work with weekly pay while contributing to impactful projects in Oakland, CA. We offer competitive compensation, comprehensive benefits, and a collaborative culture that values innovation.

As a key member of our analytics team, you'll leverage cutting-edge tools to drive data-driven decision-making across departments. This role combines technical expertise with strategic thinking to solve complex business challenges. Apply today to be part of our dynamic team!

Responsibilities

  • Analyze complex datasets using SQL, Python, and statistical methods to identify trends and opportunities
  • Create compelling data visualizations and dashboards using Tableau/Power BI for stakeholders
  • Collaborate with cross-functional teams to define KPIs and track performance metrics
  • Develop automated reporting systems to deliver real-time insights
  • Present findings to leadership with clear recommendations
  • Ensure data integrity through rigorous validation and quality control processes
  • Stay current with industry trends and emerging analytics technologies

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of experience in data analysis or business intelligence
  • Expert proficiency in SQL and at least one programming language (Python/R)
  • Advanced skills in data visualization tools (Tableau/Power BI)
  • Strong statistical analysis and problem-solving abilities
  • Experience with data warehousing concepts (ETL processes)
  • Excellent communication skills with ability to translate technical insights for non-technical audiences
  • Remote work experience preferred

Required Skills

SQL Python R Tableau Power BI Data Visualization Statistical Analysis ETL Data Warehousing

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