As a Senior Data Analyst (LatAm) at The Global Talent Co., your responsibilities include designing and maintaining scalable data models in BigQuery, building and managing ETL pipelines, developing actionable dashboards, and collaborating with cross-functional teams to provide tailored data solutions. You'll also focus on enhancing data quality and translating raw data into business insights.

To apply for the Senior Data Analyst position at The Global Talent Co., you need a proven track record in data analysis, proficiency in Google BigQuery, experience with dbt, and strong SQL skills. Additionally, familiarity with data visualization tools like Tableau and experience in building ETL pipelines using tools like Airbyte or Fivetran are essential.

In the role of Senior Data Analyst at The Global Talent Co., you will empower decision-making by providing meaningful insights derived from data. This includes creating dashboards and reports that visualize complex data, enabling stakeholders to make informed strategic choices that shape the future of the company.

The work environment for a Senior Data Analyst at The Global Talent Co. is collaborative and innovative. You'll work remotely, interacting with a diverse team across various functions. The company values creativity, ownership, and data-driven decision-making, creating a dynamic atmosphere where your contributions truly matter.

The onboarding process for a Senior Data Analyst at The Global Talent Co. includes comprehensive training on the company’s systems and analytics tools. You'll receive support from your team to familiarize yourself with existing data models and business requirements, ensuring you're well-equipped to make an impact from day one.

When answering this question, highlight specific projects where you've designed and maintained data models in BigQuery. Mention your approach to optimizing data structures for performance and how these models supported business needs.

Discuss your strategies for data validation, including your methods for identifying discrepancies and the tools you use for monitoring data integrity. Share examples of how you've improved data processing efficiency in past roles.

Explain the visualization tools you're proficient with, such as Tableau or Looker. Talk about how you tailor your visualizations to your audience, ensuring that complex data is communicated clearly and effectively.

Share your time management strategies, emphasizing your ability to prioritize tasks effectively. Provide examples of past experiences where you successfully delivered insights under pressure and maintained quality.

Highlight your communication skills and the importance of active listening. Describe how you gather requirements and maintain an ongoing dialogue with stakeholders to ensure their needs are met throughout the project life cycle.

Detail your hands-on experience with ETL tools like Airbyte or Fivetran. Discuss specific projects where you built ETL pipelines and the challenges you faced, along with how you resolved them to ensure smooth data ingestion.

Describe your problem-solving framework and any tools or methodologies you use to identify root causes quickly. Provide examples of past issues you've resolved and the positive impact it had on data availability or performance.

Highlight critical metrics relevant to the business context, demonstrating your understanding of what drives success. Discuss how you select and prioritize metrics based on business goals and stakeholder needs.

Share resources you utilize, such as online courses, blogs, forums, or conferences that keep you informed about emerging trends and tools in data analytics, helping you apply the latest techniques in your work.

Discuss your passion for data and how it fuels your desire to make data-driven decisions that can positively impact business outcomes. Share instances where your analysis made a real difference in a previous role.