At a Glance
- Tasks: Build and maintain scalable analytics solutions using dbt and BigQuery.
- Company: Join a dynamic team at Bioma, focused on gut health and innovative data solutions.
- Benefits: Enjoy health insurance, hybrid work, extra days off, and a €1100 yearly growth budget.
- Other info: Pet-friendly office, daily meals, and vibrant social clubs to explore your passions.
- Why this job: Make a global impact across 30+ brands while developing your skills in a supportive environment.
- Qualifications: 3+ years in analytics engineering with strong SQL and Python skills.
The predicted salary is between 4200 - 6000 £ per month.
About The Team
Bioma - probiotic supplements designed to support gut health, energy levels, and focus by replenishing good gut bacteria. The analytics team builds and maintains the analytics engineering layer that powers reporting, experimentation, and decision-making across the company. The team focuses on creating clean, scalable data models, well-defined metrics, and reliable tracking foundations using dbt and BigQuery.
Get ready to:
- Build and maintain a scalable analytics engineering layer in dbt, including clean models, marts, shared dimensions, and metric-ready tables.
- Improve tracking and instrumentation across domains, and identify new opportunities where data can add value.
- Implement and monitor data quality to ensure accuracy, completeness, and consistency.
- Build data products when needed (e.g., marketing performance datasets, customer lifecycle models, cohorting, experimentation-ready tables).
- Continuously improve workflows with best practices (naming conventions, data modeling standards, data quality testing, templates, and CI/CD).
- Communicate clearly with cross-functional teams and non-technical stakeholders.
- Support team members in designing, developing, and implementing data warehousing, reporting, and analytics solutions.
We expect you to:
- Have 3+ years of experience in analytics engineering, BI engineering, or data engineering, with a strong focus on data modeling.
- Have strong SQL skills and use Python for analytics workflows and automation.
- Have hands-on experience with dbt, BigQuery, Looker, and CI/CD practices.
- Have experience with marketing and website tracking concepts (events, attribution, funnels) - a plus.
- Have strong problem-solving and critical thinking skills: able to challenge unclear requests, design robust metrics, and communicate trade-offs.
- Have experience setting up or scaling data quality practices.
- Be able to work with stakeholders, write clear documentation, and align teams on definitions.
- Have a curious, growth-oriented mindset, and be comfortable learning new tools and approaches.
- Be fluent in English, with the ability to explain technical and business issues clearly.
Salary
Gross salary range is 4200 - 6000 EUR/month.
Speaking of perks:
- Own your wellness: health insurance (after probation), on-site physiotherapist, office gym, and fitness classes keep you moving. Plus 7 extra days off, 3 for weddings, hybrid work, and the freedom to work 2 months from anywhere in the world.
- Boost your daily life: Pet-friendly office, fresh breakfasts, hot lunches, drawers and fridges stocked with snacks and food - for a quick bite or even a team-cooked meal together. Rooftop and cellar events keep things lively, while 10 social clubs give space to dive into passions and try new things. Add a public transport card for Vilnius and Perks.lt perks for smoother days.
- Shape your growth path: Coaching, mentorship, training, conferences, online courses, subscriptions, books - you've got a €1100 yearly budget to fuel personal or team growth. You pick the path - we'll back you all the way.
- Drive global impact: Build impact across 30+ brands worldwide. Launch bold projects. Even step in as a co-founder - we reward those who push further. And if you bring in more great people, you get €1500 for every successful referral. Additional conditions apply based on your residence location.
Senior Analytics Engineer in London employer: Kilo
Kilo is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those looking to make a significant impact in the analytics field. With a strong emphasis on employee growth and development, you will have access to cutting-edge tools and technologies while working alongside talented professionals in a dynamic environment. Located in a vibrant area, Kilo offers unique advantages such as flexible working arrangements and a commitment to work-life balance, making it an ideal place for meaningful and rewarding employment.
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We think this is how you could land Senior Analytics Engineer in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Senior Analytics Engineer in London
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 Kilo, 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 Kilo. 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 Kilo
✨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 Kilo!
✨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.
