Data Insights Specialist

1 day ago


Los Angeles, California, United States Vaco Full time

At Vaco, we're committed to providing equal employment opportunities to all candidates, regardless of their background or identity. As an Data Insights Specialist, you'll play a critical role in driving our business forward by analyzing complex data sets and identifying key insights.

This is an exciting opportunity to work with a talented team of professionals who share your passion for data analysis and interpretation. With 2-4 years of experience in a similar role, you'll be responsible for developing and maintaining dashboards, reports, and visualizations using tools like Tableau, Power BI, or similar platforms.

We offer an estimated salary range of $75,000 - $115,000 per year, depending on factors like location and qualifications. Benefits include medical, dental, and vision coverage, as well as opportunities for professional growth and development.

Key Responsibilities:

  • Data Analysis: Interpret complex 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.
  • Technical Skills:
    • Proficiency in data analysis tools such as Excel, SQL, or Python.
    • Experience with visualization tools like Tableau, Power BI, or Looker.
    • Strong understanding of relational databases and query optimization.
  • 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:

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


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