At a Glance
- Tasks: Shape data strategies and improve decision-making across the organisation.
- Company: Join a forward-thinking company focused on diversity and innovation.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Dynamic, agile environment with a focus on collaboration and continuous improvement.
- Why this job: Make a real impact by leveraging data to drive business success.
- Qualifications: Strong background in computer science or related fields; SQL expertise required.
The predicted salary is between 45000 - 55000 £ per year.
You’ll help shape the direction of the data organization through the adoption of new best-in-class data sources, services, and tools. You’ll work across the organization to identify opportunities to improve decision making, designing and delivering solutions that make us smarter, quicker, and faster with every release. As you develop in the company, you’ll acquire an in-depth understanding of one or more areas of the business, acting as an advisor and partner and helping improve performance outcomes through the use of data and technology. You’ll help shape our unit and organisational KPIs and ensure the data and reporting is there to support them. You’ll raise the bar. You’ll support tech and product within our Customer Success squad.
What you will bring
- You have a strong academic background in computer science, information systems, engineering, machine learning, or another quantitative subject.
- You are an expert in SQL.
- You’ve got demonstrable experience developing data reporting and BI solutions in commercial environments and can shape requirements and work productively to achieve impact.
- You’ve got a keen eye for detail and are renowned for having high standards in your work.
- You can capture people’s attention and explain complex ideas, whether you’re presenting to senior leaders or writing documentation.
- You’re commercially-minded in engineering discussions and point out technical considerations during business meetings.
- You know how to lead and execute a BI project from requirements gathering to satisfactory delivery, communicating to stakeholders proactively and organising resources.
Preferred skills
- Experience with Looker.
- Experience with MPPs such as BigQuery and Snowflake.
- Experience with dbt for transformation.
- Experience with cloud services and infrastructure, especially Google Cloud Platform.
- Comfortable working in an agile environment.
Diversity, equity, and inclusion
Our drive to improve diversity, equity, and inclusion is closely linked to helping employees thrive and innovating for better customer experiences. If you care about your work, you’re curious, and you think customer‑first, you have a place at Dojo. To make sure you’re the best you can be throughout the recruitment process, let us know if you need any extra adjustments to help you thrive.
Analytics Engineer employer: Dojo
At Dojo, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. As an Analytics Engineer, you'll not only have the opportunity to work with cutting-edge data tools but also benefit from a supportive environment that prioritises diversity, equity, and inclusion. With a focus on employee growth and development, you'll be empowered to shape your career while contributing to meaningful projects that enhance customer experiences across the UK.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at Dojo or in the analytics field on LinkedIn. A friendly chat can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 2
Prepare for your interviews by brushing up on your SQL skills and BI project experiences. Be ready to share specific examples of how you've improved decision-making through data. We love seeing candidates who can back up their claims with real-world impact!
✨Tip Number 3
Show off your communication skills! Practice explaining complex data concepts in simple terms. Whether it’s a mock presentation or a casual chat with a friend, being able to convey your ideas clearly will set you apart during interviews.
✨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, we love candidates who take that extra step to connect directly with us!
We think you need these skills to ace Analytics Engineer
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your expertise in SQL and any experience with BI solutions. We want to see how you can shape requirements and deliver impactful results, so don’t hold back!
Tailor Your Application:Take a moment to customise your application for the Analytics Engineer role. Mention specific tools like Looker or cloud services you've worked with, as this shows us you’re a great fit for our needs.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, especially when explaining complex ideas. This will help us see how you communicate with stakeholders.
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. We can’t wait to hear from you!
How to prepare for a job interview at Dojo
✨Know Your Data Tools
Make sure you brush up on your SQL skills and any experience you have with Looker, BigQuery, or Snowflake. Be ready to discuss how you've used these tools in past projects and how they can help improve decision-making in the role you're applying for.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've identified opportunities for improvement in previous roles. Think about specific BI projects you've led from start to finish, and be ready to explain your thought process and the impact of your solutions.
✨Communicate Clearly
Practice explaining complex data concepts in simple terms. You might be asked to present to senior leaders, so being able to capture their attention and convey your ideas effectively is crucial. Use clear examples to illustrate your points.
✨Emphasise Collaboration
Highlight your experience working in agile environments and collaborating with cross-functional teams. Discuss how you've partnered with tech and product teams to achieve common goals, and be prepared to share how you manage stakeholder communication throughout a project.
