Want to get hired at Vossvio?

Data Analyst

Vossvio

HybridHybrid

Original Job Summary

About the Data Analyst Role

We are looking for a detail-oriented Data Analyst at Vossvio to join our team. This is a fully remote position where you will be responsible for collecting, analyzing, and interpreting data to guide strategic business decisions.

Key Responsibilities

  • Gather, clean, and organize data from multiple sources.
  • Perform exploratory data analysis to identify trends and patterns.
  • Develop dashboards, reports, and visualizations for stakeholders.
  • Support business teams with data-driven insights and recommendations.
  • Maintain and improve data quality, accuracy, and consistency.
  • Collaborate with engineers, product managers, and executives to define KPIs.
  • Automate recurring reporting processes using scripts or BI tools.

Required Qualifications

  • Bachelor’s degree in Data Analytics, Statistics, Economics, Computer Science, or related field.
  • Proven experience as a Data Analyst, Business Analyst, or similar role.
  • Proficiency in SQL and data querying.
  • Strong skills in Excel and data visualization tools (Tableau, Power BI, Looker, etc.).
  • Working knowledge of Python or R for data analysis and automation.
  • Understanding of statistics, data cleaning, and business intelligence concepts.
  • Excellent communication skills with ability to simplify complex data.

Key skills/competency

  • Data Analysis
  • SQL
  • Excel
  • Data Visualization
  • Python
  • R
  • Dashboard
  • Reporting
  • Data Cleaning
  • Statistics

How to Get Hired at Vossvio

🎯 Tips for Getting Hired

  • Customize your resume: Highlight analytics and SQL proficiency.
  • Showcase relevant projects: Detail data visualization successes.
  • Prepare for technical tests: Practice SQL queries and EDA challenges.
  • Review Vossvio culture: Research company values and remote work setups.

📝 Interview Preparation Advice

Technical Preparation

Practice SQL query challenges.
Review Excel functions and data cleaning.
Build sample dashboards and reports.
Familiarize with Python data libraries.

Behavioral Questions

Describe a challenging data project.
Explain teamwork in remote settings.
Discuss handling tight data deadlines.
Share experiences presenting data insights.