At a Glance
- Tasks: Own the data layer architecture and build robust data pipelines.
- Company: Join a B-Corp marketplace focused on tech for good.
- Benefits: Competitive salary, equity options, and flexible working in Soho.
- Other info: Work independently in a dynamic environment with great growth potential.
- Why this job: Be the first data hire and make a real impact in a growing company.
- Qualifications: Experience with DBT, SQL, Python, and cloud technologies like Snowflake or GCP.
The predicted salary is between 80000 - 100000 £ per year.
A client of ours - a circa £60M revenue business with only 70 heads in the business are on the lookout for their first Data hire to join the organization in the form of a Senior Analytics Engineer.
As a Senior Analytics Engineer, you will be responsible for owning the data layer architecture as well as Data across the business. You will also be responsible for identifying opportunities where Data can add value as analysing and building robust Data pipelines, so we are certainly looking for a strong Engineering component here.
If this Senior Analytics Engineer role sounds appealing to you - we need to see the following:
- Solid ownership experience of a project or a function
- DBT
- SQL
- Python
- Snowflake or GCP
- Independent working attitude
Senior Analytics Engineer employer: Burns Sheehan
As a Chief Product Officer at this dynamic PE-backed business in central London, you will be part of a forward-thinking team that values innovation and collaboration. The company offers a vibrant work culture with a strong focus on employee growth, providing opportunities to lead impactful B2B data product initiatives while enjoying the benefits of a profitable and established organisation. With a commitment to professional development and a strategic vision for the future, this role promises a rewarding career path in an exciting environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Burns Sheehan!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Analytics Engineer at Burns Sheehan.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Burns Sheehan.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Analytics Engineer at Burns Sheehan, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Analytics Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Burns Sheehan, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Burns Sheehan. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Burns Sheehan
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Burns Sheehan!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
