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- Tasks: Shape the analytics foundation and develop core data models in a small, dynamic team.
- Company: A growing energy startup in the UK with a focus on innovation.
- Benefits: Transparent salary, stock options, and flexible working arrangements.
- Why this job: Gain technical ownership and collaborate across departments to drive impactful analytics.
- Qualifications: Experience in analytics and a passion for data-driven decision making.
- Other info: Join a vibrant team with opportunities for personal and professional growth.
The predicted salary is between 48000 - 72000 £ per year.
A growing energy startup in the United Kingdom is seeking a Staff Analytics Engineer to shape the analytics foundation of the company. The ideal candidate will work hands-on in a small data team, focusing on core data models and trusted metrics. This role offers significant technical ownership without people management responsibilities and involves partnerships across Marketing, Finance, and other departments.
The company promotes a transparent salary structure and offers competitive benefits including stock options and flexible working.
Staff Analytics Engineer: Own the Analytics Backbone employer: tem
Contact Detail:
tem Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Analytics Engineer: Own the Analytics Backbone
✨Tip Number 1
Network like a pro! Reach out to folks in the energy sector or analytics space on LinkedIn. A friendly chat can open doors and give you insights that might just land you that Staff Analytics Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models and metrics you've developed. This hands-on evidence of your expertise will make you stand out when we’re looking for someone to shape our analytics backbone.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss how you can contribute to our small data team. We love candidates who can demonstrate their problem-solving skills and how they can partner with other departments.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re genuinely interested in being part of our growing energy startup.
We think you need these skills to ace Staff Analytics Engineer: Own the Analytics Backbone
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let your enthusiasm for data and analytics shine through. We want to see how your experience aligns with our mission to build a solid analytics foundation.
Tailor Your CV: Make sure to customise your CV for the Staff Analytics Engineer role. Highlight relevant projects and experiences that demonstrate your hands-on skills in data modelling and metrics development.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what makes you a great fit for our small but mighty data team.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at tem
✨Know Your Data Models
Make sure you brush up on your knowledge of core data models and trusted metrics. Be ready to discuss how you've implemented these in previous roles, as well as any challenges you've faced and how you overcame them.
✨Showcase Your Technical Skills
Prepare to demonstrate your technical expertise during the interview. Bring examples of your work or projects that highlight your ability to shape analytics foundations. This could include code snippets, dashboards, or reports you've created.
✨Understand Cross-Departmental Collaboration
Since this role involves partnerships across various departments like Marketing and Finance, think about how you've successfully collaborated with different teams in the past. Be ready to share specific examples that showcase your communication and teamwork skills.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's analytics strategy and how they envision the role contributing to it. This shows your genuine interest in the position and helps you assess if the company aligns with your career goals.
