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Part Time Data Analyst

Virtustant

HybridHybrid

Original Job Summary

About Virtustant

Our Client specializes in leveraging data to drive strategic decision-making and enhance operational efficiency through advanced analytics and reporting solutions.

Role Overview

The Part Time Data Analyst collaborates with team leads in designing and building user-friendly dashboards and reporting mechanisms, while improving data usability and organizing data pipelines.

Key Responsibilities

  • Partner with team leads to design dashboards and generate ad hoc reports.
  • Rebuild and simplify the BigQuery database.
  • Remove duplicate tables and clarify schemas.
  • Improve database usability for non-technical users.
  • Document and maintain data pipelines and models.

Required Experience & Qualifications

  • Strong SQL skills with direct experience using BigQuery.
  • Background in database design and data modeling.
  • Experience with reporting and dashboard creation in BI tools (e.g., Metabase, Looker).
  • Knowledge of Google Analytics and Posthog Analytics.

Preferred Skills

  • Analytical mindset with attention to detail.
  • Excellent communication and collaboration skills.
  • Ability to work independently and manage multiple tasks.

Personality

Proactive, adaptable, and a problem-solver motivated by data-driven insights.

Software & Tools

  • BigQuery
  • BI tools such as Metabase and Looker
  • Google Analytics
  • Posthog Analytics

Schedule

9-5 EST (Part Time)

Key skills/competency

  • SQL
  • BigQuery
  • Dashboard
  • Reporting
  • Data Modeling
  • Database Design
  • BI Tools
  • Google Analytics
  • Posthog
  • Data Pipeline

How to Get Hired at Virtustant

🎯 Tips for Getting Hired

  • Research Virtustant's culture: Study their mission and analytics approach.
  • Customize your resume: Highlight SQL and BigQuery expertise.
  • Review project examples: Prepare dashboard and reporting portfolios.
  • Practice interview insights: Emphasize database design experience.

📝 Interview Preparation Advice

Technical Preparation

Review SQL query optimization techniques.
Practice BigQuery database restructuring.
Build sample dashboards using BI tools.
Document a sample data pipeline workflow.

Behavioral Questions

Describe a time you solved a data challenge.
Explain your collaboration process with team leads.
Discuss how you manage multiple tasks simultaneously.
Share an experience with improving system usability.