At a Glance
- Tasks: Design data models and create actionable dashboards using SQL and BI tools.
- Company: Join kleene.ai, a leader in transforming business intelligence through data-driven solutions.
- Benefits: Competitive salary, 25 days holiday, hybrid work model, and growth opportunities.
- Other info: Fast-paced startup environment with a focus on collaboration and continuous improvement.
- Why this job: Be part of a mission to revolutionise how businesses leverage data and AI.
- Qualifications: Extensive SQL experience and expertise in BI tools required.
The predicted salary is between 50000 - 65000 £ per year.
Department: Consulting
Salary: Competitive
Holiday: 25 days + bank holidays.
Office Policy: Hybrid with 2 core office days per week.
Office Location: Old Street, London, UK
The Company
At kleene.ai, we’re accelerating how businesses become data-driven. We believe every company—regardless of size—should be able to easily harness, analyze, and act on their data. Our platform simplifies data ingestion, modeling, and reporting so our customers can spend less time wrestling with pipelines and more time delivering insights. Once our customers have a strong data foundation in place, we help them go even further—deploying AI models that unlock advanced analytics, automate decision-making, and surface deeper, predictive insights. This enables teams to move beyond understanding what has happened, to confidently shaping what comes next.
We are looking for ambitious individuals to join our mission of transforming the world of business intelligence.
The Role
We are looking for a Senior Analyst who is passionate about designing robust data models in modern data warehouses and creating actionable dashboards in BI tools like Sigma, ThoughtSpot, Power BI, Tableau, or Looker. You’ll be a core part of our Data team—working with our other consultants to translate business requirements into efficient SQL transformations and insightful visualisations. You should be comfortable managing multiple client projects at once, working closely with stakeholders to understand their needs, and delivering best-practice data solutions in a fast-paced startup environment.
Responsibilities
- Data Modelling & Warehouse Development: Design, build, and maintain data models (in predominantly Snowflake, Redshift, BigQuery etc.) using SQL best practices. Implement scalable and efficient data pipelines that adhere to Kimball or star schema methodologies. Understand the use of the AI models to deliver the most value for our clients.
- Reporting & BI: Develop interactive reports and dashboards in Sigma (and possibly other BI tools like ThoughtSpot, Power BI, Tableau, or Looker). Define and measure key performance indicators (KPIs) and metrics to drive data-driven decision-making for our clients.
- Requirements Gathering & Stakeholder Management: Work directly with clients to understand their business objectives, translating those into clear technical requirements and data models. Communicate complex data concepts in an approachable way to both technical and non-technical audiences.
- Collaboration & Project Management: Manage multiple projects concurrently, ensuring on-time delivery and high-quality output. Partner with Data Engineers, Senior Analysts, Data Scientists, and Customer Success to create holistic, end-to-end data solutions.
- Continuous Improvement: Contribute to and refine internal best practices for SQL coding, data modelling, and BI report design. Stay updated on the latest trends in data analytics, AI modelling, warehousing, and visualisation to continually push our product forward.
About You
- SQL Mastery: You have extensive, hands-on experience writing SQL for data transformation, analysis, and performance optimisation.
- BI & Dashboard Expertise: Proven track record developing compelling dashboards and reports in any BI tool.
- Data Warehousing Knowledge: Familiarity with data warehouse concepts (e.g., denormalisation, star schemas, fact and dimension design, ETL/ELT processes).
- Business-Focused: You enjoy digging into business problems, understanding key objectives, and translating them into data-driven insights.
- Fast & Efficient: You’re a self-starter who’s comfortable juggling multiple projects in a fast-paced, startup environment.
- Team Player: You communicate well with both technical and non-technical teams, and thrive in a collaborative setting.
- Ambitious & Driven: You have a strong work ethic, an entrepreneurial mindset, and a desire to push boundaries and learn quickly.
- Aligned with our company values: Trust, Get it done, Customer centric, Curious.
Senior Analytics Consultant in London employer: Kleene.ai
At kleene.ai, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. Located in the vibrant Old Street area of London, we offer a competitive salary, 25 days of holiday plus bank holidays, and a hybrid working model that promotes work-life balance. Our commitment to employee growth is evident through continuous learning opportunities and collaboration with a talented team, making us an excellent employer for those looking to make a meaningful impact in the world of data-driven business intelligence.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Consultant in London
✨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 Kleene.ai!
✨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 Consultant at Kleene.ai.
✨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 Kleene.ai.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Analytics Consultant at Kleene.ai, 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 Consultant 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 Kleene.ai, 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 Kleene.ai. 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 Kleene.ai
✨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 Kleene.ai!
✨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.
