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Job Description
Reward Gateway, together with Edenred, is a global market leader in benefits and employee engagement. We help our clients and their leaders to transform employee experience that will attract, engage, and retain top talent through employee benefits, strategic reward and recognition, well-being, and much more.
With our shared missions of ‘Making the World a Better Place to Work” and ‘Enriching connections, For good’. You’ll be contributing to improving employee engagement and building better, stronger, and more resilient organisations to improve people’s daily lives. Our shared mission guides our every action and charts a sustainable path to a better future
We are looking for an Analytics Engineer to join the Data Group at Reward Gateway. You will specifically be working in our Data Products team, building solutions that deliver value to our end users. You will work closely with other Analytics and Data Engineers within the Data group and the wider Product and Engineering organisation.
You will apply your expertise in SQL and Python to create robust data models that can be used across our business. You will use cloud-based technologies to create these in a scalable, efficient way, allowing actionable insights to be made. You will work closely to understand both the business needs and the underlying technical architecture, to continually improve the data products that we produce.
You will collaborate with Product Managers, Analysts, and other stakeholders across the company. You will demystify complex data concepts, delivering insights that are both comprehensible and actionable to them, helping to foster a data-led approach to strategic decision-making.
With our shared missions of ‘Making the World a Better Place to Work” and ‘Enriching connections, For good’. You’ll be contributing to improving employee engagement and building better, stronger, and more resilient organisations to improve people’s daily lives. Our shared mission guides our every action and charts a sustainable path to a better future
We are looking for an Analytics Engineer to join the Data Group at Reward Gateway. You will specifically be working in our Data Products team, building solutions that deliver value to our end users. You will work closely with other Analytics and Data Engineers within the Data group and the wider Product and Engineering organisation.
You will apply your expertise in SQL and Python to create robust data models that can be used across our business. You will use cloud-based technologies to create these in a scalable, efficient way, allowing actionable insights to be made. You will work closely to understand both the business needs and the underlying technical architecture, to continually improve the data products that we produce.
You will collaborate with Product Managers, Analysts, and other stakeholders across the company. You will demystify complex data concepts, delivering insights that are both comprehensible and actionable to them, helping to foster a data-led approach to strategic decision-making.
Key Responsibilities
- Work with Product and Engineering teams to design, define, and build robust data models, integrating multiple data sources to address reporting needs
- Establish and monitor Key Performance Indicators (KPIs) for data models, ensuring performance, accuracy, and alignment with business objectives
- Automate data refreshes, troubleshooting and resolving any issues to ensure continuity of data flow and accessibility for end-users
- Maintain documentation for all data models, including schema designs, data lineage, transformation logic, and refresh cycles
- Deliver training sessions and create user guides for business stakeholders on data models, enabling them to leverage business intelligence tools for effective decision-making
- Implement and adhere to best practices in software development lifecycle management to ensure quality and repeatability
- Enhance the overall data infrastructure to support advanced data analytics
- Act as a bridge between the Data Team and non-technical stakeholders, helping to foster a data-driven culture within the organisation
Skills
- A background in data modelling, ideally with experience using DBT for building and managing data models
- Understanding of software development best practices, especially in the context of data modelling, maintenance, and version control
- Excellent practical experience with SQL, particularly in writing efficient queries to cover large data sets
- Experience working with Python
- Practical experience with cloud-based data warehousing solutions, understanding the difference in storage and compute architectures used
- Excellent communication skills and an ability to communicate complex data concepts to non-technical stakeholders
- Knowledge of statistical concepts (e.g. standard deviation, variance) in a data-driven business context
The Interview Process
- A video interview with the Senior Talent Partner and the Head of Data. This should last no longer than 40 minutes.
- A final video interview of 75 minutes consisting of a coding task with the Head of Data and Engineering Manager.
Be comfortable. Be you.
At Reward Gateway, we want all of our employees to feel comfortable bringing their passion, creativity and individuality to work. We value all cultures, backgrounds and experiences, as we truly believe that diversity drives innovation. Express yourself, join our community and help us Make the World a Better Place to Work.
We hire BETTER.
From perks to people, our BETTER approach to hiring earns us more trust, happier people and more world-class talent that help us to make the world a better place to work. Find out more about Reward Gateways' approach to benefits, equality, talent, technology, empathy and what you’ll get in return for joining our Mission at rg.co/lifeatrg.
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