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- Tasks: Lead analytics engineering projects and collaborate with the data team.
- Company: Join a successful fundraising company making a real impact.
- Benefits: Enjoy a competitive salary, equity options, and flexible working in London.
- Why this job: Be the first Analytics Engineer, shaping the future of data strategy.
- Qualifications: 4+ years in data/analytics engineering, strong SQL skills, and BI experience required.
- Other info: Mentorship opportunities available for junior team members.
The predicted salary is between 54000 - 126000 £ per year.
A successful fundraising company are hiring a Senior Analytics Engineer to join their data team in London. You will be joining as the first Analytics Engineer in the business, taking ownership over analytics engineering and delivering impactful projects in this space whilst collaborating with the wider data team.
Your responsibilities as a Senior Analytics Engineer will include, but not be limited to:
- Spearhead the Analytics Engineering function for the company, leading key initiatives and helping implement a strategy & roadmap for the business.
- Engage with the wider data team including data engineers, scientists & analysts to deliver impactful projects at scale for their consumers.
- Engage with business stakeholders and communicate technical concepts and products to non-technical audiences.
- Mentor more junior team members on projects and be the subject matter expert for analytics engineering within the team.
A successful Senior Analytics Engineer will have the following:
- 4+ years of experience in data engineering/analytics engineering with proven hands-on experience in BI/product analytics.
- Extensive knowledge of dbt & SQL.
- Experience using data visualisation tooling such as Looker.
- Strong communication skills and ability to engage regularly with business stakeholders.
- Knowledge/experience in Python is desirable but not essential.
Please register your interest by sending your CV for more info!
Senior Analytics Engineer employer: Xcede
Contact Detail:
Xcede Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineer
✨Tip Number 1
Network with professionals in the analytics and data engineering fields. Attend meetups or webinars related to analytics engineering, as this can help you connect with potential colleagues or even hiring managers at companies like ours.
✨Tip Number 2
Showcase your expertise in dbt and SQL through personal projects or contributions to open-source projects. This hands-on experience can be a great conversation starter during interviews and demonstrates your practical skills.
✨Tip Number 3
Prepare to discuss how you've successfully communicated technical concepts to non-technical stakeholders in previous roles. This is crucial for the Senior Analytics Engineer position, so having specific examples ready will set you apart.
✨Tip Number 4
Consider creating a portfolio that highlights your past projects, especially those involving data visualisation tools like Looker. This can provide tangible evidence of your skills and make your application more compelling.
We think you need these skills to ace Senior Analytics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in data engineering and analytics engineering. Emphasise your hands-on experience with BI and product analytics, as well as your knowledge of dbt and SQL.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for analytics engineering. Mention specific projects where you've led initiatives or mentored junior team members, and explain how your skills align with the company's needs.
Showcase Communication Skills: Since strong communication skills are essential for this role, consider including examples in your application that demonstrate your ability to engage with non-technical stakeholders and convey complex concepts clearly.
Highlight Relevant Tools and Technologies: In your application, be sure to mention your experience with data visualisation tools like Looker and any familiarity with Python. This will help you stand out as a candidate who meets the technical requirements of the position.
How to prepare for a job interview at Xcede
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with BI and product analytics. Highlight specific projects where you've used dbt and SQL, as these are crucial for the role.
✨Communicate Clearly
Since you'll be engaging with non-technical stakeholders, practice explaining complex technical concepts in simple terms. This will demonstrate your strong communication skills.
✨Demonstrate Leadership Potential
As the first Analytics Engineer, you'll need to lead initiatives. Share examples of how you've taken ownership in previous roles and mentored junior team members.
✨Prepare for Collaboration Questions
Expect questions about working with data engineers, scientists, and analysts. Think of examples that showcase your ability to collaborate effectively within a team.
