Senior Data Analyst

About Klook

Klook is the go-to travel and leisure e-commerce platform for experiences and services anytime, anywhere. Founded in Hong Kong in 2014 out of passion for discovery, our purpose today is to inspire and enable more moments of JOY. Even when the COVID-19 pandemic hit, we held on to our conviction and successfully unlocked the domestic travel business. To date, we are already offering over 490,000 activities in over 1,000 destinations. With cross-border travel resuming, we have made it our mission to reshape the world of travel. Isn't this exciting!

It certainly is for our international community of over 1,200 employees, based in over 20 locations globally! Joymakers at heart, Klookers are not only curating joyful experiences for others, but also co-creating our world of joy in the Klookiverse. We are on a journey to foster a strong company culture that supports a high-performing and successful business, and we are guided by our core beliefs -Push boundaries,Ask for and give feedback,Take ownership, andHelp each other - in everything we do. We are excited about building and realizing endless possibilities in the new era of travel. Care to be a part of this revolution

Responsibilities:

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  Understand business requirements and evaluate their boundaries to determine if they fall within the scope of the data team's responsibilities.
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  Collaborate with stakeholders to document and analyze business processes, data dictionaries, and entity-relationship (ER) diagrams to support the development of data models.
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  Develop and maintain Data Requirements Documents (DRDs) that capture the specifications for data models. Monitor the progress of data model development and facilitate acceptance testing.
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  Maintain user manuals for data models, conduct training sessions to educate users on utilizing the data models effectively, and provide necessary updates and support to users through communication channels and Q&A sessions.

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  Bachelor's degree in a relevant field such as Computer Science, Statistics, or Information Systems. Advanced degrees are a plus.
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  Proven experience in data analysis, data modeling, and understanding complex business processes.
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  Strong proficiency in SQL and data querying languages. Python is a plus.
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  Familiarity with data visualization tools (e.g., Tableau, Power BI) and data modeling tools (e.g., ERwin, Lucidchart).
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  Excellent communication skills with the ability to effectively collaborate with cross-functional teams and translate technical concepts to non-technical stakeholders.
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  Strong attention to detail, problem-solving skills, and the ability to prioritize tasks in a dynamic work environment.
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  Experience in product management or familiarity with product management methodologies is preferred.