At a Glance
- Tasks: Lead teams to deliver innovative data platforms and analytics solutions.
- Company: Fast-growing Data Consultancy on a mission to unlock data power.
- Benefits: Competitive salary, bonus, and hybrid working options.
- Other info: Collaborative culture focused on innovation and professional growth.
- Why this job: Make a real-world impact while accelerating your career in data engineering.
- Qualifications: Experience with modern data tools and leadership in analytics engineering.
The predicted salary is between 68000 - 92000 € per year.
Analytics Engineering Manager | Data Consultancy | £80,000-£100,000 DOE + Bonus | London / Hybrid
We are partnered with a fast-growing Data Consultancy, and they are hiring for an Analytics Engineering Manager to join their growing team.
The Company
This dynamic business is on a mission to unlock the power of data for clients across a variety of industries. By combining cutting-edge analytics with commercial strategy, they deliver solutions that drive efficiency, reduce risk, and fuel growth.
With a collaborative, high-performance culture, they offer ambitious engineers the chance to accelerate their careers while working on projects that have genuine business and societal impact.
The Role
As an Analytics Engineering Manager, you’ll lead high-performing teams delivering next-generation data platforms and analytics solutions. You’ll set the technical vision, oversee architectural design, and ensure delivery of systems that are secure, scalable, and business-critical.
This is a role for a hands-on leader who thrives at the intersection of engineering and strategy. You’ll mentor talented engineers, drive innovation in modern data workflows, and partner closely with senior stakeholders to shape solutions that make a measurable difference in the real world.
The Candidate
Key attributes of the suitable Analytics Engineer Manager include:
- Strong experience with modern data platforms and tools such as Snowflake, BigQuery, Redshift, dbt, Airflow, SQL, and Python.
- Proven track record in building and optimising large-scale data pipelines, warehouse solutions, and analytics workflows in cloud environments
- Leadership experience managing and mentoring data/analytics engineering teams, with a focus on best practices in governance, modelling, and scalability.
Analytics Engineering Manager in Slough employer: Nicholson Glover
Join a fast-growing Data Consultancy in London that is dedicated to unlocking the power of data for clients across various industries. With a collaborative and high-performance culture, this company offers ambitious engineers the opportunity to accelerate their careers while working on impactful projects. Enjoy competitive compensation, a hybrid work model, and the chance to lead innovative teams in delivering cutting-edge analytics solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineering Manager in Slough
✨Tip Number 1
Network like a pro! Reach out to your connections in the data consultancy space and let them know you're on the lookout for an Analytics Engineering Manager role. You never know who might have the inside scoop on openings or can refer you directly.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your experience with modern data platforms like Snowflake and BigQuery. When you get that interview, having tangible examples of your work will set you apart from the competition.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or mentors to refine your responses, especially around leadership and technical vision. This will help you feel more confident and articulate when discussing your experience and how it aligns with the role.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you land that dream job. Plus, applying directly shows your enthusiasm and commitment to joining the team.
We think you need these skills to ace Analytics Engineering Manager in Slough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Analytics Engineering Manager role. Highlight your experience with data platforms like Snowflake and BigQuery, and don’t forget to showcase your leadership skills!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you’re passionate about data and how your background makes you the perfect fit for our team. Be sure to mention any relevant projects or achievements.
Showcase Your Technical Skills:We want to see your technical prowess! Include specific examples of how you've built and optimised data pipelines or analytics workflows. Mention tools like dbt, Airflow, SQL, and Python to catch our eye.
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 the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Nicholson Glover
✨Know Your Tech Inside Out
Make sure you’re well-versed in the modern data platforms and tools mentioned in the job description, like Snowflake, BigQuery, and dbt. Brush up on your SQL and Python skills too, as you might be asked to solve technical problems or discuss your past projects.
✨Showcase Your Leadership Skills
Prepare examples of how you've successfully managed and mentored teams in the past. Think about specific challenges you faced and how you helped your team overcome them. This will demonstrate your ability to lead high-performing teams effectively.
✨Understand the Business Impact
Be ready to discuss how your work has driven efficiency, reduced risk, or fuelled growth in previous roles. The company is looking for someone who can connect technical solutions to real-world business outcomes, so highlight your experience in this area.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the company's mission and culture. Inquire about their current projects, team dynamics, or how they measure success in their analytics solutions. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
