Data Analyst - remote, full-time

As a Data Analyst at Whizz, your core responsibilities include creating and maintaining analytical dashboards using SQL and Metabase, conducting ad hoc research to support strategic decisions, analyzing customer behavior and operational metrics, and collaborating with cross-functional teams to define KPIs. You'll be pivotal in translating business needs into technical data specifications while ensuring data integrity across all reports.

To excel in the Data Analyst role at Whizz, you need proven experience in SQL, data analysis, and dashboard creation, with a strong proficiency in Metabase. A solid understanding of data visualization best practices, problem-solving skills, and the ability to thrive in a fast-paced environment are essential. Being fluent in English and Russian is also required to communicate effectively with our diverse team.

In the role of Data Analyst at Whizz, you will primarily use SQL for data querying and Metabase for creating dashboards and visual reports. Familiarity with API data sources and automation tools is a plus, as is a good understanding of statistical methods and predictive analytics, which can help enhance the data analysis process.

Whizz offers a dynamic and collaborative remote work environment where you can engage with cross-functional teams while enjoying the flexibility of working from home. We focus on creating a culture of support and professional growth, providing you with the tools needed to thrive and make impactful decisions to drive our business forward.

To apply for the Data Analyst role at Whizz, send your CV and a cover letter to recruiter@getwhizz.com. In your cover letter, make sure to highlight how your skills and experience align with the role and how you can contribute to the continued success of our team. We’re excited to hear from you!

When preparing for this question, share specific examples of your SQL experience, detailing the types of queries you've written and how they have influenced business decisions. Highlight your familiarity with complex joins, subqueries, and performance optimization techniques, showcasing your ability to extract meaningful insights from large datasets.

Explain your approach to dashboard creation by discussing how you gather requirements from stakeholders, design intuitive visualizations, and ensure data accuracy. Mention best practices for data representation and how you stay updated with the latest trends in data visualization. Sharing an example of a dashboard you created will also strengthen your response.

Address this question by outlining your process for verifying data accuracy, consistency checks you perform, and any tools or methodologies you use to maintain data quality. Emphasize collaboration with team members to clarify data sources and establish standards for data reporting.

Frame your answer by discussing your time management strategies, prioritization skills, and how you stay organized. Provide examples from past experiences where you've successfully met deadlines and delivered high-quality results, showing your ability to thrive in a fast-paced environment.

Prepare a specific case where your data analysis led to actionable insights that made a positive impact on a business outcome. Explain your methodology, the tools you used, the insights you gathered, and how those insights were communicated to stakeholders, emphasizing your role in driving change.

Discuss the importance of selecting relevant KPIs that align with organizational goals. Offer examples of KPIs you’ve tracked in the past, such as customer satisfaction scores, conversion rates, or operational efficiency metrics. Showcase your understanding of how KPIs influence strategic decision-making.

Explain your approach to assessing requests based on their urgency, potential impact on the business, and alignment with strategic goals. Mention any tools you use for project management and how you communicate with teams to set expectations and keep everyone informed.

Discuss your approach to ad hoc analysis by mentioning how you quickly gather requirements from stakeholders, determine the right data sources, and utilize SQL queries to derive insights. Emphasize your adaptability and ability to deliver insightful results on short notice.

This is an opportunity to mention your skills in creating clear, concise, and visually appealing reports or dashboards. Discuss your philosophy regarding data visualization best practices, including clarity, simplicity, and the use of visual aids that make complex data understandable for non-technical audiences.

Highlight the importance of strong analytical skills, proficiency in SQL and Metabase, attention to detail, effective communication, and the ability to work collaboratively within teams. Emphasize that these skills are essential for transforming data into insights that facilitate informed decision-making.