Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join a dynamic team to develop data models and present insights to stakeholders.
- Company: Work with a leading tech company that processes data for millions of customers.
- Benefits: Enjoy a hybrid work model and collaborate with top-notch data professionals.
- Why this job: Be part of a fast-paced environment where your analytical skills can drive real impact.
- Qualifications: Experience in Analytics Engineering, SQL, and cloud data warehouses like Snowflake required.
- Other info: Self-motivated individuals will thrive in this innovative and collaborative culture.
The predicted salary is between 36000 - 60000 £ per year.
Analytics Engineer
Hybrid – Central London Office
Xcede are delighted to be working with a multi-million-pound tech company who rely on processing the data of millions of customers for their core business and operational decisions. Their pre-existing Data function (full of excellent Data Scientists, Data Analysts, Machine Learning Engineers, etc.) are now looking to add another Analytics Engineer to their department.
Responsibilities:
- Work alongside engineering and product teams to ensure application design aligns with reporting and analytics needs.
- Develop data models within a Snowflake data warehouse.
- Present data-driven insights and strategic recommendations to non-technical stakeholders.
- Support various business and engineering teams in building a reliable, scalable, and robust architecture for analytics and ETL pipelines.
- Drive initiatives focused on improving operational efficiency as the organisation scales.
- Incorporate new data sources to enhance analytical capabilities.
- Collaborate with stakeholders to define business use cases and translate them into analytical problems for development, testing, and production.
Requirements:
- Commercial Analytics Engineering (or similar) experience
- Experience developing and designing SQL data models, along with commercial dbt experience.
- Experience working with cloud data warehouses like Snowflake or equivalent platforms.
- Expertise in data visualization and BI tools such as PowerBI (preference), Looker, Tableau with a strong ability to convey insights clearly and effectively.
- Adept at building influential relationships with colleagues and stakeholders, successfully delivering impactful insights to executive teams.
- Degree in a relevant field is a bonus
- Self-motivated worker
If this role interests you and you would like to find out more, please apply here or contact us via (feel free to include a CV for review).
#J-18808-Ljbffr
Analytics Engineer employer: Xcede Recruitment Solutions
Contact Detail:
Xcede Recruitment Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer
✨Tip Number 1
Familiarize yourself with the specific tools mentioned in the job description, especially Snowflake and dbt. Having hands-on experience or projects that showcase your skills with these platforms can set you apart from other candidates.
✨Tip Number 2
Prepare to discuss how you've previously collaborated with engineering and product teams. Be ready to share examples of how your contributions have aligned with reporting and analytics needs, as this is a key aspect of the role.
✨Tip Number 3
Highlight your experience with data visualization tools like PowerBI, Looker, or Tableau. Think of specific instances where your insights led to impactful decisions, as this will demonstrate your ability to convey complex information effectively.
✨Tip Number 4
Showcase your self-motivation and ability to work independently. Prepare examples of projects where you took the initiative to drive improvements in operational efficiency, as this aligns well with the company's goals.
We think you need these skills to ace Analytics Engineer
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Analytics Engineer position. Understand the key responsibilities and requirements, especially the importance of SQL data models and experience with Snowflake.
Tailor Your CV: Customize your CV to highlight relevant experience in analytics engineering, SQL development, and any work with cloud data warehouses. Emphasize your skills in data visualization tools like PowerBI, Looker, or Tableau.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analytics and your ability to communicate insights effectively. Mention specific projects where you've successfully collaborated with stakeholders to drive business decisions.
Highlight Soft Skills: In your application, don't forget to mention your soft skills, such as relationship-building and communication abilities. These are crucial for working with non-technical stakeholders and delivering impactful insights.
How to prepare for a job interview at Xcede Recruitment Solutions
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL data models and cloud data warehouses like Snowflake. Highlight specific projects where you've successfully implemented these technologies.
✨Communicate Clearly with Non-Technical Stakeholders
Since you'll be presenting insights to non-technical stakeholders, practice explaining complex data concepts in simple terms. Use examples from your past experiences to demonstrate your ability to convey insights effectively.
✨Demonstrate Collaboration Skills
Emphasize your experience working alongside engineering and product teams. Share examples of how you've collaborated on projects to ensure alignment between application design and analytics needs.
✨Prepare for Behavioral Questions
Expect questions about how you handle challenges and drive initiatives. Prepare stories that showcase your self-motivation and ability to improve operational efficiency in previous roles.
