At a Glance
- Tasks: Transform data into insights that enhance customer experiences and streamline operations.
- Company: Join Dojo, the UK's leading payments disruptor with a vibrant culture.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for personal growth.
- Other info: Collaborate with diverse teams and contribute to exciting projects from day one.
- Why this job: Make a real impact by shaping data strategies in a fast-paced environment.
- Qualifications: Strong background in data analytics and experience with SQL and BI tools.
The predicted salary is between 50000 - 70000 £ per year.
We’re reinventing payments. In less than four years, Dojo disrupted the market to become the largest and most loved acquirer in the UK. Our payments infrastructure, purpose-built for in-person commerce, is game changing. Now, over 150,000 customers across four countries choose to transact billions with us every year. But we’re just getting started. Our people are the driving force behind our success. They are our greatest investment and our ultimate competitive advantage. We hire exceptional people and give them the autonomy, trust, and ownership to thrive. The results take care of themselves.
The Role… As an Analytics Engineer within Customer Operations, you are the architect of the data that keeps Dojo moving. This isn't just about dashboards; it is about building the data models that define how we interact with our customers. You will partner with stakeholders across the core Call Centre, Logistics, Performance Management, and Loyalty teams to turn fragmented data into high-performance assets. Whether it is streamlining our supply chain, identifying at-risk customers before they churn, or refining our collections logic, your mission is to provide the clarity needed to deliver a world-class experience at every stage of the customer journey.
Our mission is to bring data to the heart of our operational frontline by:
- Building a scalable and efficient data asset - creating the foundation for seamless logistics, billing, and retention strategies.
- Monitoring and optimising data processes - ensuring our supply chain and collections data is as reliable as our payment terminals.
- Enabling self-serve analytics - empowering our Operations leads to make real-time decisions that improve the customer experience.
As part of the Customer Operations team, we work closely with various business units and squads on long-term projects, system migrations (such as transitioning billing or CRM platforms), and critical business initiatives. As an AE team, we also dedicate time to our own internal data initiatives, which help us maintain a strong reputation in the business, ensure our tools and systems scale alongside the organisation, and provide a platform for us to do our best work - examples include data governance and observability. At Dojo, the Data function is an exciting space where you can make an impact from day one. You’ll have the opportunity to shape its development, bringing your expertise in technology and commercial problem-solving to work alongside other experts to scale processes and drive smarter decisions. If you love developing cutting-edge automated solutions to challenging operational problems and crafting insights that change how an organisation serves its customers, this is the role for you.
What you will do…
- Shape the direction of the data organisation by adopting best-in-class data sources, services, and tools that support our operational infrastructure.
- Identify opportunities across Customer Operations to improve decision-making - such as optimising stock levels or improving collections efficiency - and deliver scalable data solutions as Dojo scales into new markets across Europe.
- Develop an in-depth understanding of the customer journey, acting as a trusted advisor to teams such as Logistics, Billing, Service and Loyalty to improve performance through data and technology.
- Support and shape operational KPIs, ensuring accurate and actionable data and reporting for our call centres and supply chain partners.
- Deliver hands-on data products using tools such as BigQuery, dbt, and Looker to model complex operational workflows.
- Collaborate with technical and non-technical stakeholders, including Finance, Supply Chain, Customer Support, cross-functional squads and external third-party suppliers.
- Contribute to the Analytics Engineering Chapter through demos, knowledge sharing, and skill development to ensure our tools and systems scale alongside the organisation.
What you will bring…
- Strong academic background in computer science, information systems, engineering, or another quantitative field.
- Expert capability in SQL with experience handling and manipulating large, complex datasets - particularly transactional, billing, or logistical data.
- Proven experience in Analytics Engineering, using tools such as dbt to build robust, version-controlled data models.
- Experience developing BI solutions, from initial requirements gathering with operational stakeholders through to final delivery.
- Skilled in using data visualisation tools to convey insights that drive operational efficiency and improve the customer experience.
- Excellent communicator, able to explain complex data logic to technical and non-technical stakeholders across the business.
- Commercially minded, balancing technical debt with the need for high-impact business solutions in a fast-paced environment.
- High attention to detail and strong standards for data quality and observability.
- Able to thrive in an agile, fast-growth environment and manage multiple priorities across different operational squads.
- You embody our company values: Customer Obsessed, Curiosity, Relentless.
Nice to have…
- You have experience with modern cloud data warehouse platforms such as BigQuery or Snowflake.
- dbt for transformation and GitHub for version control.
- Visualisation tools such as Looker, Omni, or Tableau.
- Operational data sets - specifically experience with billing systems, supply chain, logistics, and customer service platforms (e.g. Salesforce).
- Ability to leverage Python to automate processes or develop custom logic (e.g., Python models in dbt or workflow integration).
- Familiarity or experience with our tech stack: BigQuery, dbt, Looker (and LookML), Salesforce, GCP, Fivetran and AirByte.
- Knowledge of data orchestration tools (Airflow) or observability frameworks (e.g. Monte Carlo).
Analytics Engineer in Bristol employer: Dojo
At Dojo, we pride ourselves on being an exceptional employer that values our people as the cornerstone of our success. Located in the heart of the UK, we foster a dynamic work culture that encourages autonomy, innovation, and collaboration, providing ample opportunities for professional growth and development. With a commitment to empowering our employees through cutting-edge technology and a focus on delivering a world-class customer experience, joining our team means being part of a forward-thinking organisation that is reshaping the payments landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer in Bristol
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models, dashboards, and any projects you've worked on. This is your chance to demonstrate how you can turn data into actionable insights that improve customer experiences.
✨Tip Number 3
Prepare for interviews by researching the company and its culture. Understand their mission and values, and think about how your skills as an Analytics Engineer can help them achieve their goals. Tailor your responses to show you're a perfect fit!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at Dojo.
We think you need these skills to ace Analytics Engineer in Bristol
Some tips for your application 🫡
Show Your Passion for Data:When you're writing your application, let your enthusiasm for data shine through! Talk about how you've used data to solve problems in the past and why you’re excited about the role of Analytics Engineer at Dojo.
Tailor Your Experience:Make sure to customise your application to highlight relevant experiences that align with the job description. If you've worked with SQL, dbt, or any of the tools mentioned, shout about it! We want to see how your skills fit into our mission.
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to explain your achievements and how they relate to the role. Remember, we appreciate clarity just as much as complexity!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Dojo
✨Know Your Data Tools
Familiarise yourself with the tools mentioned in the job description, like BigQuery, dbt, and Looker. Be ready to discuss how you've used these tools in past projects, as this will show your hands-on experience and understanding of the tech stack.
✨Understand the Customer Journey
Dive deep into the concept of the customer journey and think about how data impacts each stage. Prepare examples of how you've used data to improve customer experiences or operational efficiency in previous roles, as this aligns perfectly with Dojo's mission.
✨Communicate Clearly
Practice explaining complex data concepts in simple terms. You’ll likely be interacting with both technical and non-technical stakeholders, so being able to bridge that gap is crucial. Consider role-playing with a friend to refine your communication skills.
✨Show Your Curiosity
Demonstrate your curiosity by asking insightful questions about Dojo’s data initiatives and future projects. This not only shows your interest in the role but also aligns with their value of being customer obsessed and curious. Think about what you want to learn from them!
