Data & BI Lead Analyst

As a Data & BI Lead Analyst at Convert Group, your main responsibilities include designing and managing delivery of automated and on-demand reporting solutions, enhancing existing BI dashboards, overseeing core product data management, and establishing data quality procedures. Your expertise will be crucial in supporting partner data integration into our SaaS platform and suggesting improvements for data workflows.

For the Data & BI Lead Analyst position at Convert Group, candidates need to have a bachelor’s degree in Computer Science, Engineering, Statistics, or related fields, with more than one year of relevant experience. Proficiency in both Greek and English, strong SQL skills, experience with a BI tool like Tableau or Power BI, and basic Python knowledge for data analysis are essential.

At Convert Group, professional development is a priority. As a Data & BI Lead Analyst, you'll have access to continuous training and mentoring programs designed to enhance your skill set. Additionally, we provide financial support for further studies, helping you expand your qualifications and advance your career.

Data & BI Lead Analysts at Convert Group enjoy a hybrid working model, offering both remote and office options. Our supportive culture fosters collaboration while allowing flexibility, ensuring you can perform at your best. Plus, with various perks like free daily lunches and additional paid leave, we strive to ensure your work environment is both enjoyable and productive.

Convert Group offers a generous benefits package for Data & BI Lead Analysts, including private health insurance, an Employee Assistance Program, 20% extra annual paid leave, and special parental leave provisions. Additionally, you'll enjoy perks such as financial support for personal milestones and free daily meals, all while working in a nurturing environment.

When answering this question, highlight your hands-on experience with various BI tools, such as Tableau or Power BI. Share specific projects you've worked on where you successfully delivered analytics solutions, including any challenges faced and how you overcame them to improve operational efficiency.

Discuss your methodology for maintaining data integrity, which may include procedures for regular audits, automated data checks, and your experience implementing data quality standards. Be sure to mention any tools or systems you've utilized to enhance data accuracy in previous roles.

Explain how you assess urgency and impact when handling multiple requests. You can mention using project management tools, setting deadlines based on department needs, and your strategy for communicating priorities effectively with stakeholders.

Give a concrete example where you increased efficiency or user accessibility in a BI dashboard. Discuss the metrics you measured to gauge success and how the enhancements benefited stakeholders or contributed to better decision-making.

List the programming languages you've used, focusing on SQL and mentioning your basic knowledge in Python or R. Share an instance where you used these skills for data extraction, manipulation, or visualization, showcasing your analytical prowess.

Choose a project where interdisciplinary collaboration was key. Detail your role, how you communicated with team members across departments, and what the final outcome was, emphasizing the importance of teamwork in achieving shared goals.

Mention specific resources, such as industry blogs, online courses, webinars, or professional organizations, that help you stay up-to-date with the latest trends and technologies in data analytics, demonstrating your commitment to continuous learning.

Talk about a specific challenge you encountered, such as dealing with data discrepancies or integrating complex data sources. Make sure to highlight the steps you took to overcome that challenge and what you learned from the experience.

Describe your training methodology, including hands-on demonstrations, creating user-friendly documentation, or conducting workshops. Share your experience helping colleagues or clients become proficient in BI tools and how that added value to the organization.

Reflect on the aspects of the role that bring you the greatest satisfaction, whether it’s problem-solving, enabling data-driven decisions, or contributing to strategic growth. Sharing your genuine enthusiasm can demonstrate your passion for the position.