Data Analyst
@ Factored

Hybrid
$120,000
Hybrid
Full Time
Posted 21 days ago

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XXXXXXXXXX XXXXXXXXX XXXXXXX******* @factored.com
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Job Details

About the Role

The Data Analyst at Factored is responsible for collecting, analyzing, and interpreting large sets of data to drive strategic decisions and improve business performance.

Functional Responsibilities

  • Collect, clean, and transform raw data into structured datasets.
  • Perform thorough data analysis using statistical techniques.
  • Develop and implement data models, algorithms, and visualizations.
  • Monitor and track key performance indicators (KPIs).
  • Identify opportunities for process improvements.
  • Collaborate with cross-functional teams to provide data-driven insights.

Qualifications

  • Proficiency in SQL, Python, or R.
  • Strong understanding of statistical concepts.
  • Experience with APIs, ETL, databases, or web scraping.
  • Familiarity with data modeling, warehousing, and database management.
  • Skilled in data visualization tools like Tableau or Power BI.
  • Excellent problem-solving and communication skills.

About Factored

Founded in Palo Alto, California by Andrew Ng and experienced AI experts, Factored is dedicated to nurturing top technical talent globally. We value intelligence, passion, and collaboration and invest in continuous growth and professional development.

Key Skills/Competency

  • Data Analysis
  • SQL
  • Python
  • R
  • Statistical Analysis
  • Data Visualization
  • ETL
  • Data Warehousing
  • Problem Solving
  • Communication
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How to Get Hired at Factored

🎯 Tips for Getting Hired

  • Customize your resume: Tailor experience to data analytics and tools.
  • Highlight technical skills: Emphasize SQL, Python, and R expertise.
  • Prepare for interviews: Practice technical and scenario questions.
  • Research Factored: Understand their mission and AI initiatives.

📝 Interview Preparation Advice

Technical Preparation

Review SQL query optimization techniques.
Refine Python programming for data processing.
Practice statistical methods and hypothesis testing.
Work on data visualization projects.

Behavioral Questions

Describe a challenging data project.
Explain teamwork during complex problem solving.
Detail a time you met a tight deadline.
Highlight how you adapt to feedback.

Frequently Asked Questions