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Information Technology 🏢 Full Time ⭐️ Verified

Entry Level Data Analyst

DataDriven Innovations
San Francisco
Estimated Salary
USD 65.000 – USD 85.000
Live Update
3 Mei 2026
Deadline
3 Mei 2027

Job Description

Join DataDriven Innovations as an Entry Level Data Analyst and launch your career in the heart of California's tech industry! We're seeking passionate individuals ready to transform raw data into actionable business insights. Our collaborative environment offers mentorship, cutting-edge tools, and growth opportunities within a forward-thinking organization. If you're eager to solve real-world problems with data and contribute to impactful decisions, this is your gateway to a thriving analytics career.

Responsibilities

  • Analyze complex datasets to identify trends, patterns, and anomalies using SQL, Python, and Excel
  • Create compelling visualizations and dashboards using Tableau/Power BI for stakeholder presentations
  • Collaborate with cross-functional teams to define business requirements and deliver data-driven solutions
  • Develop and maintain automated reporting systems to monitor KPIs and performance metrics
  • Support A/B testing initiatives and provide statistical analysis for product optimization
  • Document data processes, methodologies, and findings for knowledge sharing
  • Stay updated on industry trends and emerging analytics technologies

Qualifications

  • Bachelor's degree in Statistics, Mathematics, Computer Science, or related field
  • 0-2 years of experience in data analysis, internships, or academic projects
  • Proficiency in SQL for data extraction and manipulation
  • Strong knowledge of Python (Pandas, NumPy) or R for data analysis
  • Experience with data visualization tools (Tableau, Power BI, or similar)
  • Excellent problem-solving skills and attention to detail
  • Ability to communicate complex findings to non-technical audiences
  • Portfolio demonstrating analytical projects or case studies preferred

Required Skills

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

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