2022 will be a big year here at OTA Insight as we recently had the pleasure of announcing a new series B funding of 80 million which will fuel our investment in product innovation! To realise our ambitions plans we are growing our innovation teams significantly where our Data Analytics team plays a critical part. Ready to have a big impact in an ambitious scale-up? Read along!
About the position
We are looking for a Junior Analytics Engineer who will help our employees make better decisions by providing trusted data analytics. In this role you will work closely with the functional stakeholders from different departments. The 3 building blocks for this role are: requirements gathering, data modelling and supporting the business in getting the insights from the data through the use of data visualization.
In this role you will:
Build analytics in code by writing highly-performant SQL and automated tests
Collaborate through version control and peer reviews
Gather requirements from different internal business units (Sales, Finance, Operations, Marketing, …)
Guide business users in deciding which metrics are relevant to track progress on their objectives
Translate business requirements into performant, reusable and documented data models which provide actionable insights
Own the design, implementation and maintenance of advanced analytics dashboards and KPI reports in our BI tool
Support our transition to become even more data-driven by enabling business units to explore data marts in self-service mode so they can answer their own questions
Improve our product by analysing how ideal customers use our product features and benchmarking usage
Research and follow recent industry and technology trends so we can continue reaping the benefits of being a fast-moving technology adopter. You'll always be on the lookout for the best (and afterwards a better) solution
Technologies you’ll work with:
Postgres (SQL), BigQuery, dbt, Looker, Google Cloud, etc.
(feel free to ask us why these are the best fit for us)
About the team
The OTA Insight Data Analytics team is the BI team within our wider engineering team. Its mission is to ensure internal stakeholders can make data-driven decisions by providing strategic data insights. The team works in close collaboration with experts from all departments to build insightful reports on their objectives, as well as with a highly talented group of software engineers, devops engineers, and project managers to drive initiatives forward and continuously improve our analytics stack. If you join this team, you will be working with a group of intelligent and supportive analytics engineers and you will find yourself in an exciting and comfortable environment.
About OTA Insight
OTA Insight is a scale-up within the hotel industry. Founded in 2012, with a vision to provide user friendly tools to hoteliers. Today we are considered the global leader in hotel BI and are working with 65,000+ hotels worldwide in 185 countries. As there are more than 1 million hotels worldwide, we are still filled with ambition to grow further.
We generate value to our customers by visualising actionable insights out of our vast datasets. Our tools help hotels to analyse their competition’s room pricing, analyse their hotel revenue, and find out where and when guests are looking and booking. Our products have a profound impact on the day to day activities of our customers, taking away guesswork and simplifying their routines. This has allowed us to grow rapidly over the past few years, adding new products as we solve new problems for our users.
Familiarity with data structures and data models, for example ERDs and have an understanding of data warehousing
Familiarity with writing SQL queries and eager to learn more about it
Experience with statistical analysis and strong problem solving and analytical skills
Highly organized, strong work ethic, hands-on, detail oriented with a customer service mentality
Team player, ability to work cross-functionally, self-driven and motivated
Excellent written and oral communication skills (English is a must)
Passionate about visualizing datasets using Business Intelligence tools
Ability to take large quantities data and distil down to actionable insights
Experience with applying software engineering best practices like version control