Junior Data Operator

A Junior Data Operator at GoCardless is primarily responsible for data collection, cleaning, and visualization. You'll identify relevant data sources, retrieve and standardize data, and create insightful dashboards. The role involves analyzing data trends and documenting your findings to assist the entire organization in making data-driven decisions.

While the Junior Data Operator role at GoCardless is entry-level, candidates should ideally have a basic understanding of SQL and familiarity with data/BI tools. Proficiency in Google Sheets or Excel is essential, along with strong attention to detail, communication skills, and a desire to solve data-related problems.

At GoCardless, we prioritize career development and provide ample learning opportunities for Junior Data Operators. You'll gain hands-on experience with advanced tools and methodologies in data analytics and operations, plus access to a mentorship program that encourages continuous professional growth.

As a Junior Data Operator at GoCardless, you'll utilize various tools such as dbt, Looker, DOMO, and Amplitude. These tools will enable you to clean, visualize, and analyze data to inform business decisions effectively.

The expected salary range for a Junior Data Operator at GoCardless is between €1204 - €1,333 monthly (gross). This range may vary based on experience and other factors, ensuring we remain competitive and supportive of our team members.

In answering this question, reflect on what excites you about working with data and your admiration for GoCardless's mission. Mention your enthusiasm for the opportunity to contribute to data-driven solutions that empower businesses.

To effectively answer this question, discuss specific examples of data cleaning and visualization projects you've completed. Highlight your proficiency in tools such as dbt, Looker, or Excel, and explain how you've applied your skills to draw meaningful insights from data.

Use the STAR method to structure your response: Describe the Situation, the Task you needed to accomplish, the Actions you took to resolve the issue, and the Results that followed. This will showcase your analytical skills and problem-solving abilities.

Emphasize the importance of validation and cross-referencing data sources. Explain the steps you take to clean data and check for inconsistencies, ensuring that your analyses yield reliable insights.

Discuss how clear communication is crucial in conveying complex data insights to both technical and non-technical audiences. Highlight your ability to distill intricate analyses into accessible information.

Share your strategies for prioritization, such as assessing deadlines, impact on the team, and learning opportunities. Mention any tools or frameworks you've used to stay organized and ensure timely project delivery.

Express your passion for using data to drive change and improve business operations. Talk about how continuous learning in data analytics motivates you and how you enjoy uncovering insights that impact decision-making.

Talk about a specific project where your contributions led to actionable insights or improvements. Discuss the data tools you used, your role in the project, and the positive outcomes that resulted.

While you may only have a basic understanding of SQL, emphasize your willingness to learn and grow. Discuss any practical experiences you have with SQL, and express your eagerness to enhance your skills further in this area.

Offer your perspective on current challenges in data analytics, such as data privacy, integration of disparate data sources, or the need for real-time insights. Highlight your interest in addressing these challenges through innovation and collaboration.