Lead Data Analyst

Company Description

Be part of the team transforming global travel experiences

Luxury Escapes is one of the world's fastest-growing travel websites, with over 8 million members. We are growing rapidly & seeking a Lead Data Analyst to join our team

Working at Luxury Escapes

Our mission is to delight our customers with incredible deals for the world's best holidays. We are a collective of forward-thinking people, driven to challenge the travel industry and ourselves to bring outstanding travel experiences to our customer community.

Our award winning employee experience is king here having been recognised as "One of the Best Places to Work" by the AFR with weekly events, monthly recognition programs and significant professional development opportunities.

We do what we can to make you look forward to waking up every day

** Luxury Escapes is an in-person company. We work and collaborate together, face to face in our Barangaroo office.**

Job Description

The Role

We are now looking for a Lead Data Analyst to join the team; someone who is able to drive the team in delivering data analysis and reports, develop and managing dashboards, maintain data integrity and have the ability to continually improve the company's analytical processes and methods.

Someone able to extract data requirements from the wider business, influence the direction of data models and lead the analytics function to deliver high quality analysis.

You will be responsible for:

• Build and maintain analytics and reporting from data sourced from Snowplow, Google Ads, Financial Systems, and internal data sources.
• Drive the technical vision and elevate best practices across the analytics function, mentoring and developing analysts
  
  Maintenance and expansion of product, marketing, financial, commercial, and customer reporting using Bigquery.
• Database management and data operations including liaising with Data Engineers to develop and maintain views with our data warehouse.
• Monitor and identify actionable insights to help improve marketing systems and site performance.
• Support and build data models with the data platforms team.

Qualifications

What we are looking for:

• Bachelor's degree in business, Engineering, Statistics, Computer Science, Mathematics or related field
• Professional experience as a Data Analyst with experience leading technical development
• Excited about directly managing multiple Data Analysts
• Expert at writing and optimising SQL to handle large datasets
• Understanding of data warehousing and data modelling
• Experience conducting analysis and data mining using Excel
• Proficient and direct experience with one or more major data visualisation tools including Tableau/ DataStudio/QuickSight/ Power BI etc.
• Experience with the following or similar platforms: Google Analytics, GCP, AppsFlyer, Firebase, Google Optimize
• Python or R experience
• An understanding of working for a consumer facing business

Additional Information

What's in it for you?

• Excellent Remuneration package
• 20% Discount on Luxury Holidays and Experiences
• Breakfast and lunch are provided 5-days a week
• Well-being programs
• 1/2 day of birthday leave
• A super collaborative team that enjoys creating great platforms

In your application, please include a cover letter flagging how you have derived and communicated strong data insights that have driven commercial metrics / solve business challenge.

If you're interested in the role but don't check every box, apply anyway, we'd love to hear from you

We embrace diversity in our people and make hiring decisions based on your experiences and skills. We do not discriminate based on gender identity, religion, race, national origin, sexual orientation, age, marital status, or disability status. You'll find a collaborative, inclusive, and respectful workplace here at Luxury Escapes, and we are proud to celebrate who you are. Please let us know if you require any reasonable adjustments during the interview.

As a 2025 Circle Back Initiative employer, we're committed to responding to every applicant.