Data Analyst - remote, full-time, fluent in English and Russian

As a Data Analyst at Whizz, your primary responsibilities will include creating and maintaining analytical dashboards using SQL and Metabase, analyzing customer behavior, operational performance, and product usage trends, and collaborating with cross-functional teams to define key performance indicators. You will also transform complex business needs into clear technical specifications while ensuring the integrity of the data presented in your reports.

To excel as a Data Analyst at Whizz, you should have proven experience with SQL and dashboard creation, a strong working knowledge of Metabase, and a good understanding of data visualization best practices. Strong problem-solving skills, attention to detail, and the ability to work in a dynamic environment are also essential. Additionally, fluency in English and Russian will be advantageous for effective communication within the team.

The ideal candidate for the Data Analyst role at Whizz should have substantial experience in SQL, data analysis, and creating dashboards, specifically using Metabase. Familiarity with statistical methods and predictive analytics, understanding of API data sources, and knowledge of data security best practices are considered a plus that can enhance your application.

At Whizz, you'll be part of a vibrant and collaborative remote working environment. We value flexibility and encourage innovative thinking, allowing you to thrive while contributing to a mission-driven team. You'll engage with various teams, ensuring your insights directly impact strategic decisions and overall performance.

Whizz offers competitive salaries and a comprehensive benefits package for our Data Analyst position. You will enjoy the flexibility of remote work, opportunities for professional development, and a chance to be part of a company that actively transforms the mobility industry with our innovative solutions.

In answering this question, focus on specific projects where SQL played a key role. You might discuss the types of queries you wrote, the databases you managed, and any insightful results that emerged from your analyses. Be sure to highlight how this experience will benefit your role as a Data Analyst at Whizz.

When addressing this question, emphasize your understanding of data visualization best practices. Talk about tools you've used, particularly Metabase, and how you ensure that your dashboards are both informative and visually appealing. Mention how you tailor visuals to meet the needs of diverse stakeholders.

In your response, outline your methodical approach to data integrity and accuracy. Discuss your experience in validating data sources, monitoring data inputs, and utilizing automated checks to identify inconsistencies. Highlight your commitment to maintaining quality data for insightful analyses at Whizz.

Share a specific example where your analysis led to a significant business outcome. Detail how you identified the critical data points, the insights you gained, and the actions that resulted from your findings. Connect this back to how you would apply similar methodologies at Whizz.

When answering, discuss relevant KPIs related to customer behavior, product usage, and operational efficiency. Explain your reasoning behind each KPI and how monitoring these can lead to improved decision-making at Whizz.

Describe a complex project where you faced significant obstacles, whether technical or with data accuracy. Discuss how you overcame these challenges, what tools or methodologies you employed, and the eventual success of the project. Highlight the skills that helped you succeed.

Emphasize the importance of collaboration when working in a Data Analyst role. Share your experiences working with product managers and engineers and how you ensure that data insights align with business needs. Your response should convey your understanding of teamwork in achieving common goals.

Provide insight into your organizational skills, including how you assess the importance and urgency of tasks. Mention specific tools or techniques you use to track projects and ensure deadlines are met while maintaining quality results.

Discuss how you convert complex data into comprehensible narratives. Explain how you emphasize clear communication and visualization methods to ensure your audience understands the implications of the data. Share examples of successful instances where your data storytelling influenced decision-making.

If you have experience with automation tools or working with API data sources, this is a great chance to expound. Discuss your familiarity with specific technologies, how you've implemented them in your work, and how they can enhance efficiency as a Data Analyst at Whizz.