At a Glance
- Tasks: Shape the analytics layer and define metrics using dbt and Omni.
- Company: Exciting startup reinventing energy transactions in the UK.
- Benefits: Competitive salary, stock options, remote work, home office budget, and wellness support.
- Other info: Flexible working environment with opportunities for personal and professional growth.
- Why this job: Join a mission-driven team and make a real impact in the energy sector.
- Qualifications: Experience with analytics engineering and a passion for data quality.
The predicted salary is between 115000 - 115000 € per year.
tem is seeking a Staff Analytics Engineer in the United Kingdom to join their growing startup focused on reinventing energy transactions. This hands-on role involves working with dbt and Omni to shape the analytics layer, define metrics, and maintain data quality.
The position offers a competitive salary of £115,000, stock options, and remote working flexibility, alongside benefits including a home office budget and wellness support.
Staff Analytics Engineer - End-to-End dbt & Metrics employer: tem
Join a dynamic startup in the United Kingdom that is at the forefront of transforming energy transactions. As a Staff Analytics Engineer, you will thrive in a collaborative and innovative work culture that prioritises employee growth, offering competitive salaries, stock options, and flexible remote working arrangements. With additional benefits like a home office budget and wellness support, this role provides a meaningful opportunity to contribute to impactful projects while enjoying a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Analytics Engineer - End-to-End dbt & Metrics
✨Tip Number 1
Network like a pro! Reach out to folks in the analytics and energy sectors on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your dbt projects and metrics you've defined. This hands-on evidence speaks louder than words.
✨Tip Number 3
Prepare for the interview by brushing up on common analytics scenarios. Think about how you’d tackle data quality issues or define key metrics in real-world situations.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Staff Analytics Engineer - End-to-End dbt & Metrics
Some tips for your application 🫡
Show Your Passion for Analytics:When writing your application, let us see your enthusiasm for analytics and data quality. Share specific examples of how you've used dbt or similar tools in past projects to demonstrate your hands-on experience.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the Staff Analytics Engineer role. Highlight relevant skills and experiences that align with our focus on reinventing energy transactions and shaping the analytics layer.
Be Clear and Concise:We appreciate clarity! Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to see your key achievements and skills at a glance.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our growing startup.
How to prepare for a job interview at tem
✨Know Your dbt Inside Out
Make sure you’re well-versed in dbt and its functionalities. Brush up on how to create models, tests, and documentation. Being able to discuss your past experiences with dbt will show that you’re not just familiar with it, but that you can leverage it effectively in this role.
✨Understand the Metrics Landscape
Familiarise yourself with common metrics used in analytics, especially those relevant to energy transactions. Be prepared to discuss how you would define and measure key performance indicators (KPIs) for the company’s analytics layer. This shows you’re proactive and ready to contribute from day one.
✨Showcase Your Data Quality Skills
Data quality is crucial in analytics. Prepare examples of how you’ve maintained data integrity in previous roles. Discuss any tools or processes you’ve implemented to ensure high-quality data, as this will demonstrate your attention to detail and commitment to excellence.
✨Embrace the Startup Mindset
Working in a startup means being adaptable and resourceful. Be ready to share experiences where you’ve had to pivot quickly or take on multiple roles. Highlighting your flexibility and enthusiasm for a dynamic work environment will resonate well with the team.
