At a Glance
- Tasks: Transform complex data into stunning visual narratives and interactive experiences.
- Company: Join Kpler, a leading tech company simplifying global trade insights.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for growth.
- Other info: Dynamic team culture focused on innovation and collaboration.
- Why this job: Make a real impact by empowering global market participants with actionable insights.
- Qualifications: 7-10 years in data journalism or related fields; strong SQL and Python skills.
The predicted salary is between 59400 - 72600 £ per year.
London Product - Product Data Platform /Full-time /Hybrid At Kpler, we are dedicated to helping our clients navigate complex markets with ease.
By simplifying global trade information and providing valuable insights, we empower organisations to make informed decisions in commodities, energy, and maritime sectors.
Since our founding in 2014, we have focused on delivering top-tier intelligence through user-friendly platforms.
Our team of over 850 experts from 69 countries works tirelessly to transform intricate data into actionable strategies, ensuring our clients stay ahead in a dynamic market landscape.
Join us to leverage cutting-edge innovation for impactful results and experience unparalleled support on your journey to success.
About the Role As a Senior Data Visualisation Engineer, you will sit at the dynamic intersection of data engineering, product design, and editorial storytelling to unlock actionable insights from complex global trade, commodity, and maritime datasets.
Operating with high autonomy, you will push the boundaries of visual communication, transforming intricate data streams into intuitive, beautiful interactive experiences and visual narratives.
In this role, your work will directly empower market participants worldwide to extract immediate, strategic value from Kpler’s industry-leading intelligence.
Key Responsibilities Discover and pitch data-driven narratives: Validate and query complex data: Independently analyze, manipulate, and validate multi-layered datasets using SQL and Python, standing behind published analysis with complete accuracy.
Build modern interactive data experiences using contemporary web technologies (Java Script/Type Script) and AI-assisted engineering workflows.
Collaborate closely with product managers, data engineers, market analysts, and product designers from initial hypothesis through final publication.
Establish best practices, refine workflows, and mentor peers across the business to raise the bar for data storytelling across Kpler.
Experience & Background7-10 years of experience in data journalism, information design, visual storytelling, or a closely related quantitative field.
Proven ability to independently query, interrogate, and validate complex datasets (using SQL, Python, or similar tools) and defend published insights confidently.
Strong spatial analysis skills and proficiency with GIS technologies to analyse location-based data and spatial relationships.
Technical proficiency with modern web technologies (Java Script/Type Script and contemporary front-end frameworks) alongside an enthusiasm for AI-assisted development workflows.
Exceptional visual communication skills and a strong portfolio demonstrating clear editorial judgement and narrative structure across data-driven projects.
Degree/MSc in Locational Analytics, Design, Statistics, Computer Science, or a related discipline.
Strong desire to experiment with AI tools and continuously iterate on novel design and engineering workflows We are a dynamic company dedicated to nurturing connections and innovating solutions to tackle market challenges head-on.
We buildtogether We foster relationships and develop creative solutions to address market challenges.
Research shows that women and people of color are less likely than others to apply if they feel like they don’t match 100% of the job requirements.
We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community.
Senior Data Analysis Engineer in London employer: Kpler
Kpler is an exceptional employer located in the vibrant city of London, offering a dynamic work culture that fosters collaboration and innovation. Employees benefit from comprehensive growth opportunities, including professional development and the chance to work alongside talented teams across various functions. With a focus on data-driven decision-making, Kpler empowers its workforce to make impactful contributions in a fast-paced environment, making it an ideal place for those seeking meaningful and rewarding careers in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analysis Engineer 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 Kpler!
✨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 Data Analysis Engineer at Kpler.
✨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 Kpler.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Analysis Engineer at Kpler, 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 Data Analysis 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 Kpler, 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 Kpler. 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 Kpler
✨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 Kpler!
✨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.
