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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst (WFH)

DataDriven Solutions Inc.
Los Angeles
Estimated Salary
USD 85.000 – USD 110.000
Live Update
28 Juli 2026
Deadline
28 Jul 2027

Job Description

Join our award-winning data team as a WFH Data Analyst in sunny Los Angeles! We're seeking a passionate data enthusiast to transform raw data into actionable insights that drive business growth. Enjoy flexible remote work with competitive compensation and cutting-edge tools. Start immediately and make your mark on our innovative projects.

At DataDriven Solutions, we believe data is the heartbeat of modern business. You'll collaborate with cross-functional teams to uncover trends, optimize processes, and present compelling data stories to leadership. If you thrive in dynamic environments and love solving complex puzzles, this is your dream role.

Responsibilities

  • Analyze complex datasets using SQL, Python, and visualization tools to identify business opportunities
  • Develop automated reporting dashboards in Tableau/Power BI for real-time decision-making
  • Collaborate with stakeholders to define KPIs and track performance metrics
  • Conduct ad-hoc analysis to support strategic initiatives and troubleshoot operational issues
  • Maintain data integrity through rigorous validation and quality control protocols
  • Present findings to executive teams through clear, impactful visualizations and narratives

Qualifications

  • 3+ years of professional data analysis experience with remote work exposure
  • Expert proficiency in SQL, Python (Pandas/NumPy), and Excel
  • Advanced skills in data visualization tools (Tableau/Power BI)
  • Bachelor's degree in Data Science, Statistics, or related field
  • Proven ability to translate complex data into business recommendations
  • Experience with A/B testing and statistical modeling techniques
  • Strong problem-solving skills with attention to detail

Required Skills

SQL Python Tableau Power BI Data Visualization Statistical Analysis Excel A/B Testing Data Mining Remote Collaboration

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