Graduate Analytics Engineer

Who you are

• We’re looking for a proactive and detail-oriented graduate to join us on this journey.
• If you’re a quick learner with a strong technical background, you’ll thrive in this role.
• We move and think fast so it’s important that you are able to thrive in a fast-paced environment and are happy to roll up your sleeves to do whatever it takes to support the team in every way possible.
• Computer Science or other technical degree OR equivalent years’ commercial experience in industry.
• A strong understanding of SQL – this is essential.
• The ability to use at least one programming language (preferably Python) for data manipulation and cloud engineering purposes.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills.
• A willingness to learn and adapt to new technologies and tools.
• A basic understanding of SQL database systems, Kimball data modelling, and ELT processes.
• A basic understanding of cloud computing concepts.
• An understanding of APIs.
• Familiarity with statistical analysis and machine learning techniques.
• Exposure to version control systems (Git).
• An understanding of CI/CD practices.
• Familiarity with a data visualisation tool (Tableau, Power BI, etc.).
• Cloud computing certification.

What the job involves

• Reporting in to our Data Engineering Manager you’ll work at the intersection between our analysts and engineers, supporting them in projects across every department.
• You’ll be part of a small but ambitious team and be responsible for building intuitive downstream data models to make our data warehouse a genuine competitive advantage for Petlab.
• You will play a critical role in the company's data-driven decision-making by developing, implementing, and maintaining critical datasets in our data warehouse.
• You will collaborate closely with everyone in the data team to gather requirements; design and develop data pipelines; and provide valuable insights to stakeholders across the organisation.
• It’s an excellent opportunity for a self-starter to work on exciting projects, gain valuable hands-on experience with tons of opportunity for development and to grow their career in the analytics field.
• Collaborate with the analytics team to gather and understand business requirements.
• Design, develop, and maintain data pipelines to support data analytics initiatives.
• Ensure data quality and accuracy by implementing tests, alerts and validation processes.
• Develop, update and maintain data models based on changing business needs.
• Assist Analysts with the development and maintenance of dashboards, reports, and visualizations for stakeholders.
• Respond and debug data pipeline failures.
• Write and maintain technical documentation for the data assets you produce.
• Constantly seek to improve the data we provide to the wider company.
• Stay up-to-date with the latest trends and best practices in data analytics to suggest improvements in the way we work.

Benefits

• Home Office Stipend
• Pet Friendly Office
• Collaborative Working Space
• Flexible working hours
• Company Equipment - You choose between a mac or a PC!
• Audible subscriptions - We love to promote and encourage personal & professional development so we couldn't be happier to pay for audio-books subscriptions of your choice on Amazon.
• Employee Assistance Programme - We make sure our team is covered for a range of different circumstances personally and professionally, and have an employee assistance program that provides a complete support network of expert advice for the ultimate work/home life balance.
• Pension Scheme - contributions towards your pension scheme!
• Cycle to work Scheme - Who doesn't love a brisk cycle into work! We have secure bike storage with a service lift and entrance dedicated to our wonderful cyclists.