Senior Analytics Engineer

What you will do

As a Senior Analytics Engineer, you'll leverage all data sets available within Lighthouse to build products, service, insight and data stories for our Enterprise customer segment. You’ll research how we can cater to needs and sometimes accept that the research didn’t have the outcome hoped for. It encompasses a broad range of use cases and stakeholders that can be served by the same type of data, but, exposed, analysed in different ways.

Where you will have impact

• Deliver impactful research and data stories for our enterprise customers, shaping their commercial strategies.
• Own and drive the development of our data footprint within the Enterprise space, collaborating with the product manager to define strategy.
• Become an expert on Lighthouse's data assets, creatively leveraging them to serve clients like global hotel chains and OTAs.
• Coach and mentor junior members of the analytics team, both within and outside the Enterprise vertical, fostering growth.
• Collaborate closely with business stakeholders and your product manager to understand their needs and translate them into data-driven solutions.
• Communicate complex data concepts and solutions clearly to both technical and non-technical audiences.
• Design and execute Proof of Concepts and experiments to validate new ideas and data products.

About our team

Lighthouse is not only a data-driven company, we are a data company. The heart of all our products is data. It enables hotels to make the right decisions and fuel our analytical solutions. Being a growth company enables us to regularly attract new and interesting datasets, which can unlock new product directions. Today we process billions of data points and +100TB of data on a daily basis, containing hotels' pricing information, search data, hotel bookings, etc. All of that using modern technologies.

The data solutions team is part of our Enterprise vertical within engineering. It’s a domain and focus area we’ve established a year and a half ago, it entails

• Teams, originally from different companies and acquisition being brought together and integrated into 2 product areas: Data solutions and Distribution.
• It’s focused on data we have, leveraging it in a different way, and using the vastness of datapoints Lighthouse can offer, to support our Enterprise customer in the best way possible. 
• It’s ‘a few’ customers being served by a product roadmap. We build and we iterate. 

What's in it for you?

• Flexible time off: Autonomy to manage your work-life balance.
• Career development: Workshops, frameworks, and trainings to maximize your professional potential.
• Impactful work: Shape products relied on by 85,000+ users worldwide.
• Mobility options: Mobility budget or company car (based on your job category).
• Net allowance: Support for home office related expenses.
• Vouchers: Lunch vouchers & Eco vouchers.
• Comprehensive health insurance: Extensive coverage for you and your dependents.
• Pension funding: Group insurance to secure your future.
• Referral bonuses: Earn rewards for bringing in new talent.

Who you are

• Multiple years of experience in a data analyst, analytics engineer, or data science role, preferably in a SaaS or enterprise software environment.
• Solid relational modeling skills using SQL and programming experience, preferably in Python.
• Hands-on experience with data transformation tools such as dbt.
• Proven ability to create compelling data visualizations and dashboards with tools like Looker, Tableau, or Looker Studio.
• Experience working with major cloud platforms, such as GCP or AWS.
• A talent for crafting compelling data stories and clearly communicating their business impact to diverse stakeholders.
• Excellent communication skills in both written and spoken English.

We welcome

• Experience solving complex problems using large, real-world datasets.
• A keen interest in and knowledge of the latest developments in AI, particularly conversational AI and LLMs.

Technologies you will work with

SQL (Google’s BigQuery), python, GCP, Looker,Looker Studio / Tableau (whatever makes more sense for the task)†, terraform, and occasionally probably airflow, Excel, Google slides (only if necessary)

#LI-Hybrid