At a Glance
- Tasks: Design and implement scalable data models and analytics solutions.
- Company: Join Checkout, a leading tech company focused on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for growth.
- Other info: Dynamic team environment with a focus on continuous improvement.
- Why this job: Make a real impact by shaping product evolution through data insights.
- Qualifications: Experience in data engineering, SQL, and cloud technologies required.
The predicted salary is between 60000 - 80000 £ per year.
As a Data Analytics Engineer at Checkout you will be responsible for enabling key insights on how products are performing and establishing a single source of truth for North Star and tracking metrics, working closely with product managers and product data scientists to shape the product’s evolution at Checkout. You’ll have the opportunity to build new data products and introduce step changes in how we view analytics for these critical areas, with end‑to‑end ownership of multiple data products from design to implementation to operationalisation.
How you’ll make an impact:
- Design and implement high‑performance, reusable, and scalable data models for our data warehouse using dbt and Snowflake.
- Design and implement Looker structures (explores, views, etc.) that enable users across the organization to self‑serve analytics.
- Work closely with data analysts and business teams to understand business requirements and provide data ready for analysis and reporting.
- Continuously discover, transform, test, deploy and document data sources and data models.
- Apply, help define, and champion data warehouse governance: data quality, testing, documentation, coding best practices, and peer reviews.
- Take initiative to improve and optimise analytics engineering workflows and platforms.
Key Requirements:
- Proven delivery experience as a data, business intelligence or analytics engineer.
- Hands‑on proven data modeling and data warehousing skills demonstrated in large‑scale data environments.
- Proven experience in software development lifecycle in analytics (e.g., version control, testing, and CI/CD).
- Excellent SQL and data transformation skills, ideally proficient in dbt or similar.
- Familiarity with at least one of these cloud technologies: Snowflake, AWS, Google Cloud, Microsoft Azure.
- Passionate about sales, finance, customer, marketing and/or product analytics data.
- Good attention to detail to highlight and address data quality issues.
Senior Analytics Engineer employer: 0026 Checkout Technology Ltd
At Checkout, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. As a Senior Analytics Engineer, you will not only have the chance to work with cutting-edge technologies like dbt and Snowflake but also enjoy ample opportunities for professional growth and development. Our commitment to innovation and collaboration ensures that your contributions will directly impact our product evolution, making Checkout an exceptional place to build a meaningful career.
Contact Details:
0026 Checkout Technology Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models and analytics projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and data transformation skills. Be ready to discuss your experience with dbt and Snowflake, and think about how you can demonstrate your problem-solving abilities.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Analytics Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Senior Analytics Engineer. Highlight your experience with data modelling, dbt, and any cloud technologies you've worked with. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about analytics and how you can contribute to our team. Be sure to mention specific projects or experiences that relate to the job description.
Showcase Your Projects:If you've worked on relevant data products or analytics projects, don't hesitate to include them in your application. We love seeing real examples of your work and how you've tackled challenges in the past!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it's super easy!
How to prepare for a job interview at 0026 Checkout Technology Ltd
✨Know Your Data Tools
Make sure you brush up on your SQL skills and get familiar with dbt and Snowflake. Be ready to discuss how you've used these tools in past projects, as they'll want to see your hands-on experience.
✨Understand the Business Context
Before the interview, take some time to research Checkout and its products. Understand how analytics can drive product evolution and be prepared to share insights on how you can contribute to their goals.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled data quality issues or optimised workflows in previous roles. They’ll appreciate candidates who can demonstrate initiative and a proactive approach to challenges.
✨Ask Insightful Questions
Come prepared with questions that show your interest in the role and the company. Ask about their current analytics processes or how they envision the future of their data products. This shows you're engaged and thinking critically about the position.
