Lead BI (BI Architect)

As the Lead BI (BI Architect) at Joyteractive, your primary responsibilities include leading BI teams and projects, overseeing the development of our Data Warehouse, ensuring data quality and governance, driving the adoption of BI capabilities, and facilitating cross-functional collaboration. Your role is crucial in ensuring that data insights translate into real business improvements.

To qualify for the Lead BI (BI Architect) position at Joyteractive, candidates should have strong experience with cloud services (AWS, GCP, or Azure), a proven track record in data warehousing and engineering, and familiarity with data science concepts. Proficiency in SQL and Python is also essential, and experience in the gaming industry is a plus.

The Lead BI (BI Architect) will develop and enforce data management policies and standards that maintain data integrity and compliance across the organization. This role is key to ensuring that data quality is prioritized and that the data used for decision-making is accurate and reliable.

The work environment for the Lead BI (BI Architect) role at Joyteractive is dynamic and collaborative, with opportunities for remote work. You'll be part of a talented team of over 80 professionals in a company that values flexibility, continuous growth, and a data-driven culture.

Joyteractive offers an enticing benefits package, including 18 business days of compensated day-offs, 8 paid Personal Days, a flexible Public Holidays policy, an individual training budget, comprehensive sick leave compensation, and compensation for equipment wear and tear while working remotely.

In answering this question, share specific projects where you utilized cloud platforms like AWS, Azure, or GCP. Discuss how you implemented data solutions that improved data storage or analytics capabilities, providing metrics or outcomes when possible.

Discuss your strategies for maintaining data integrity, such as implementing rigorous data management policies or using specific tools to monitor and audit data quality. Provide examples that highlight your success in ensuring compliance and accuracy.

Describe a project in detail, emphasizing your leadership role, the challenges faced, and how you overcame them. Highlight the tangible impacts, such as increased efficiency or improved decision-making processes, that resulted from your project.

Illustrate your approach to bridging the gap between technical and non-technical stakeholders. You could talk about communication strategies, such as creating easy-to-understand reports or conducting workshops, that facilitate shared understanding and collaboration.

Share your favorite tools and technologies, explaining why you favor them based on factors like scalability, usability, and functionality. Discussing your hands-on experience with these tools enhances your credibility.

Talk about the resources you use, such as industry publications, webinars, or conferences. Mention any communities or forums where you actively engage with peers to share insights and best practices that keep you informed.

Cite specific initiatives you led, such as training sessions or tools you implemented to promote data literacy within your team. Highlight the positive changes in team engagement or decision-making as a result of these efforts.

While replying, outline your experience with different ETL/ELT tools and processes, giving examples of how you've designed or improved these to enhance data flow and ensure data availability for stakeholders.

Explain your method for prioritizing tasks—whether using tools like project management software or frameworks like Agile—and how this has led to improved team performance and meeting deadlines successfully.

Discuss potential challenges such as rapid data growth or evolving business needs. Share strategies from your experience for overcoming these challenges, showcasing your foresight and problem-solving skills.