At a Glance
- Tasks: Analyse large data sets to drive business decisions and enhance product performance.
- Company: Join Verda, a pioneering AI cloud company with a global presence.
- Benefits: Competitive cash and equity compensation plus local benefits.
- Other info: Opportunity for career growth and collaboration with world-class engineers.
- Why this job: Make a real impact in the AI industry while working with top-tier professionals.
- Qualifications: 5+ years in analytics, strong communication skills, and Python proficiency.
The predicted salary is between 59400 - 72600 £ per year.
At Verda, we're building a full-stack AI cloud, covering everything from data centers and hardware to our own cloud platform that the world's leading AI teams use to do serious AI work. We strive to make a positive mark on the world through the infrastructure we build and give leading teams a service they can truly depend on. Headquartered in Helsinki, we operate globally with offices in London and San Francisco. Join Verda while it’s still being built - not once it’s finished.
Responsibilities:
- Leverage large data sets to derive insights that inform business decisions, focusing on the business, product and operational performance across multiple distinct product lines.
- Gain in-depth knowledge of Verda's business operations, with a special focus on R&D and revenue strategies.
- Communicate effectively with business leaders to influence strategic decision-making, presenting complex data in a consumable format.
- Collaborate with cross-functional global teams, contributing to strategic initiatives with data insights and strategic recommendations.
- Conceptualize, develop, and maintain centralized tools and dashboards for data extraction and business management.
- Collaborate and build together with data engineering and GTM systems teams to integrate diverse data sources, ensuring the creation and maintenance of reliable, unified reports.
- Set the analytics operating standards across the company: documentation, data-quality checks, review practices, and how analytics work gets prioritized.
- Support analytical rhythms of the business through regular reviews, goal setting, and deep dives.
Requirements:
- 5+ years in analytics & data analysis, including ownership of company-level metrics or KPI systems.
- Strong skills in both qualitative and quantitative analysis, including content analysis, hypothesis testing, cluster analysis, and statistical techniques.
- Fluency with BI tooling (Looker, Metabase, Tableau, or equivalent) and with telling a decision-ready narrative instead of just shipping charts.
- Working Python skills for analysis and automation, comfortable in notebooks, scripts, and version control.
- Business understanding across cloud products, finance, sales, and marketing.
- Excellent communication skills, capable of presenting technical content to non-technical audiences.
- Proven ability to initiate and complete analytical projects independently.
- Action-oriented with a natural curiosity for detail and a strong analytical mindset.
Preferred:
- Experience in usage-based pricing businesses: utilization, capacity, and margin analysis.
- Hands-on dbt or a semantic-layer / metrics-store setup.
- Experience building AI-assisted analytics workflows from 0 to 1.
- People-leadership ambitions.
Conditions:
Cash and equity compensation along with local benefits. A real chance to make an impact and work alongside world class engineers, researchers, and partners across the global AI ecosystem.
Data analyst for cloud products in London employer: Verda
Verda is an exceptional employer that fosters a vibrant multicultural work environment, making it an ideal place for a Technical Account Manager to thrive. With competitive cash and equity compensation, along with opportunities to collaborate with innovative AI companies, employees are encouraged to grow and develop their skills while managing impactful technical relationships. The company's commitment to enhancing customer experience and providing robust support ensures that team members feel valued and empowered in their roles.
StudySmarter Expert Advice🤫
We think this is how you could land Data analyst for cloud products 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 Verda!
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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 Verda.
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We think you need these skills to ace Data analyst for cloud products 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 Verda, 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 Verda. 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 Verda
✨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 Verda!
✨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.
