Data Analyst Job at Virtual in Los Angeles

Job Title: Data Analyst

About the Role

We are seeking a detail-oriented and analytical Data Analyst to join our team. In this role, you will be responsible for interpreting complex datasets, providing actionable insights, and supporting data-driven decision-making across the organization. Your work will directly influence key business strategies and operational improvements.

Key Responsibilities

• Data Analysis: Analyze large datasets to identify trends, patterns, and insights that drive business decisions.
• Reporting: Develop and maintain dashboards, reports, and visualizations using tools like Tableau, Power BI, or similar platforms.
• Data Management: Collect, clean, and validate data to ensure accuracy and consistency.
• Collaboration: Work with stakeholders across departments to understand their data needs and provide tailored solutions.
• KPI Monitoring: Track and analyze key performance indicators to evaluate the success of initiatives and identify improvement opportunities.
• Ad Hoc Analysis: Perform exploratory data analysis and respond to data requests as needed.
• Documentation: Document methodologies, processes, and findings for transparency and reproducibility.

Required Qualifications

• Education: Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or a related field.
• Experience:
  • 2–4 years of experience in a data analyst or similar role.
  • Proficiency in data analysis tools such as Excel, SQL, or Python.
• Technical Skills:
  • Experience with visualization tools like Tableau, Power BI, or Looker.
  • Strong understanding of relational databases and query optimization.
  • Familiarity with statistical analysis and modeling techniques.
• Soft Skills:
  • Excellent problem-solving and critical-thinking abilities.
  • Strong communication skills to convey insights to non-technical audiences.
  • Detail-oriented with a focus on data accuracy and quality.

Preferred Qualifications

• Knowledge of data warehousing concepts and tools (e.g., Snowflake, Redshift).
• Experience with predictive modeling or machine learning techniques.
• Familiarity with cloud platforms like AWS, GCP, or Azure.
• Certification in analytics tools (e.g., Tableau Certified Professional).