Data Analytics - IC - D
Role details
Job location
Tech stack
Job description
Associate Data Analysts support the business by delivering and maintaining reports and uncovering data insights to defined business problems. They are expected to collect, prepare and analyze data with limited guidance, and select effective visualizations to convey business insights through reports or dashboards when applicable. They collaborate with peers in their craft and support initiatives for data quality and stability.
Associate Data Analysts are able to prioritize scoped tasks and communicate results based on business needs in collaboration with their manager, team and stakeholders., * Responsible for the delivery of parts of Data Analytics solutions based on business requirements, contributing to bringing them from the initial idea-generation phase to implementation under supervision.
- Responsible for working with limited guidance on consuming data and preparing it for analytical use, but asks for regular guidance to translate business problems into data stories (ie. analysis approaches).
- Responsible for supporting their team in achieving business objectives.
- Responsible for working with limited guidance to develop basic data visualizations, dashboards, and reports, while learning to communicate insights and recommendations to stakeholders effectively.
- Responsible for asking support of their peers / managers to communicate results and outcomes clearly to stakeholders.
- Responsible for following Data Analytics best practices.
- Responsible for growing their own craft skills while learning to leverage Data Analytics for impact.
- Responsible for collaborating with peers in the team.
Requirements
Do you have experience in Tableau?, * Driven and results-oriented personality
- Open to feedback and always looking for ways to improve performance
- Analytical and curious mindset
- Strong interpersonal skills including an open and friendly attitude
- Able to understand details while keeping an eye on the bigger picture
- Experience in data analysis, data management, and data visualization
- Proficiency in data analysis languages (e.g., R, SQL, Python) and visualization tools (e.g., Tableau, Data Studio, PowerBI, Mixpanel)
Benefits & conditions
Booking.com's Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive compensation and benefits package, as well unique-to-Booking.com benefits which include:
- Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave
- Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country)
- Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit
Inclusion at Booking.com:
Inclusion has been a core part of our company culture since day one. This ongoing journey starts with our very own employees, who represent over 140 nationalities and a wide range of ethnic and social backgrounds, genders and sexual orientations.
Take it from our Chief People Officer, Paulo Pisano: "At Booking.com, the diversity of our people doesn't just build an outstanding workplace, it also creates a better and more inclusive travel experience for everyone. Inclusion is at the heart of everything we do. It's a place where you can make your mark and have a real impact in travel and tech."
We ensure that colleagues with disabilities are provided the adjustments and tools they need to participate in the job application and interview process, to perform crucial job functions, and to receive other benefits and privileges of employment.