Data Analyst

As a Data Analyst at Talan in Málaga, Spain, your primary role involves extracting, processing, and analyzing large datasets to support reconciliation processes for one of Spain's largest banks. You will develop and maintain data pipelines using Python and PySpark and create insightful reports and visualizations with QlikSense or Power BI.

To become a Data Analyst at Talan, candidates should have a Bachelor’s degree or equivalent in a relevant field, along with a minimum of two years of experience in data analysis. Required technical skills include proficiency in Python and PySpark, as well as experience with data visualization tools like QlikSense or Power BI.

Key responsibilities for a Data Analyst at Talan include extracting and analyzing large datasets, maintaining data pipelines, ensuring data quality and accuracy, creating reports and dashboards, and collaborating with cross-functional teams in an Agile environment. Your analytical skills will be crucial in driving effective reconciliation processes.

The Data Analyst position at Talan is a hybrid role based in Málaga, Spain, which means some flexibility to work from home is provided, as well as the opportunity to engage in international projects. However, relocation to Málaga is mandatory.

Talan offers a range of benefits for Data Analysts including a full-time contract, a smart office pack for comfortable remote work, training and career development opportunities, and a flexible remuneration package that includes private medical and life insurance, as well as lunch and travel cards.

In answering this question, focus on specific projects or roles where you've conducted data analysis. Highlight how your skills and experiences align with the responsibilities of the Data Analyst position at Talan, emphasizing your use of tools like Python and data visualization software.

Discuss your methods for verifying data accuracy, such as triple-checking data sources, using validation techniques, and employing data profiling. Mention how these practices would be applied in the role at Talan for maintaining high data quality during the reconciliation process.

Share specific examples of how you've worked in Agile environments, such as participating in Scrum meetings or utilizing Kanban boards. Relate these experiences to how they would enhance collaboration in the team at Talan.

Outline the project, the difficulties encountered, and the steps you took to resolve those challenges. Emphasize your critical thinking and problem-solving skills relevant to the Data Analyst position at Talan.

Talk about methods you use to assess project urgency and importance, such as leveraging project management tools, and agile prioritization techniques, ensuring that key deliverables meet business needs effectively.

Discuss your experience with Python and PySpark, detailing specific functions or libraries you've used to manipulate and process data. Provide examples of how your coding skills will aid in developing data pipelines at Talan.

Identify tools like QlikSense or Power BI, and describe scenarios where you've created visual reports. Focus on how effective visualizations improved decision-making processes and enhanced performance at your previous companies.

Discuss your openness to constructive criticism, mentioning specific examples of feedback you've received, how you've implemented it in your work, and how such practices would benefit the collaborative environment at Talan.

Describe how you keep up-to-date with industry trends, online courses, or certifications, emphasizing how continuous learning enhances your effectiveness as a Data Analyst and aligns with Talan's focus on innovation.

Express your enthusiasm for Talan's mission, team culture, and innovative approaches. Relate your own values and career goals with those of Talan, highlighting your excitement for contributing to their projects and growth in this role.