At a Glance
- Tasks: Dive into data, solve complex problems, and create impactful visualisations.
- Company: Join Expedia Group, a leader in global travel technology and solutions.
- Benefits: Enjoy travel perks, flexible work options, generous time-off, and career development resources.
- Why this job: Shape the future of travel in a diverse, inclusive culture where your contributions matter.
- Qualifications: PhD, Masters, or Bachelors with 4 years experience, or 5+ years in data analytics.
- Other info: Recognised as a Best Place to Work by Glassdoor in 2024.
The predicted salary is between 28800 - 48000 £ per year.
Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.
Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.
We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us.
Data Scientist II, PLS Analytics
Private Label Solutions (PLS) is the B2B arm of Expedia Group. We bring Expedia Group's innovative technology and distribution solutions to partners across the world. These businesses include global financial institutions, corporate managed travel, offline travel agents, global travel suppliers (like major airlines) and many more.
We’re seeking a high-performing individual contributor with a passion for solving complex problems and uncovering opportunities through data. You’ll operate with a high degree of independence, regularly engaging with stakeholders up to Director level, and leading your own analytical initiatives - whether that’s steering a focused workstream or developing innovative data products.
In this role, you will:
- Independently extract data from multiple sources, combining them into required datasets for model building or analytics.
- Apply probability and statistics to business problems (e.g., AB testing, causal inference), distinguishing between statistically significant results and exploratory analyses.
- Utilize business acumen and technical knowledge to select appropriate techniques/designs for answering business questions (e.g., AB testing, pre/post analysis, counterfactual inference).
- Create clear visualizations that support data stories and enhance audience understanding through presentations and executive summaries.
- Work with big data, understand potential challenges and solutions, and communicate effectively with both technical and non-technical partners.
- Collaborate with stakeholders and analytics peers to identify objectives and propose appropriate solutions, demonstrating iterative thinking and identifying next steps based on findings.
Experience and qualifications:
- PhD, Masters, or Bachelors with 4 years work experience OR 5+ years of experience in a comparable data analytics role with relevant experience.
- At least 4 years of relevant work experience.
- Proven track record of delivering data-driven insights and recommendations that drive change or performance improvements across various projects using different analytics techniques.
- Experience delivering analytics projects across different business areas, demonstrating strong business acumen.
- Proficiency in probability and statistics.
- Advanced SQL skills, querying tools (e.g. qubole/big query/hadoop), and concepts such as Store Procedures, Cursors and Temp tables.
- Proficiency in Python (knowledge of R is also welcome).
- Expertise in Tableau.
- Strong data visualization skills for communicating results to stakeholders of varying technical levels.
- Solid understanding of business acumen.
- Basic knowledge of machine learning concepts and approaches.
Expedia Group is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
Data Science Analyst II employer: ENGINEERINGUK
Contact Detail:
ENGINEERINGUK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Analyst II
✨Tip Number 1
Familiarise yourself with the latest trends in data science and analytics, especially in the travel industry. Understanding how data is used to enhance customer experiences can give you an edge during discussions with stakeholders.
✨Tip Number 2
Brush up on your SQL and Python skills, as these are crucial for the role. Consider working on personal projects or contributing to open-source projects that showcase your ability to manipulate and analyse data effectively.
✨Tip Number 3
Prepare to discuss your previous analytics projects in detail. Be ready to explain the methodologies you used, the challenges you faced, and how your insights led to actionable business decisions.
✨Tip Number 4
Network with current employees or alumni who work at Expedia Group. They can provide valuable insights into the company culture and the specific expectations for the Data Science Analyst II role.
We think you need these skills to ace Data Science Analyst II
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Science Analyst II position. Tailor your application to highlight how your skills and experiences align with the job description.
Craft a Strong CV: Your CV should clearly showcase your relevant experience in data analytics, including specific projects where you've applied probability, statistics, and SQL. Use quantifiable achievements to demonstrate your impact in previous roles.
Write a Compelling Cover Letter: In your cover letter, express your passion for data science and travel. Highlight your ability to solve complex problems and your experience working with stakeholders. Make sure to connect your background to the values and culture of Expedia Group.
Prepare for Technical Questions: Be ready to discuss your technical skills in SQL, Python, and data visualisation tools like Tableau. Prepare examples of how you've used these skills in past projects, especially in relation to business outcomes and decision-making.
How to prepare for a job interview at ENGINEERINGUK
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in SQL and Python during the interview. Be prepared to discuss specific projects where you've used these skills to solve complex problems, as this role requires a strong technical foundation.
✨Demonstrate Business Acumen
Since the position involves working with stakeholders and understanding business needs, be ready to share examples of how your analytical insights have driven change or improved performance in previous roles.
✨Prepare for Data Visualisation Questions
Given the importance of clear communication in this role, practice explaining your data visualisations. Be ready to discuss how you would present complex data stories to both technical and non-technical audiences.
✨Engage with Stakeholders
This role requires collaboration with various stakeholders. Prepare to discuss how you've successfully worked with different teams in the past, and think about how you would approach identifying objectives and proposing solutions in this new role.