Data analyst for cloud products

Verda; Greater London; On-site; GBP 80,000 - 130,000; Full time

Benefits offered by this job

Equity compensation

Local benefits

Job summary

Verda in London is seeking a senior analytics professional to shape data-driven decisions across product, R&D, and operations. You will own KPI dashboards, build centralized tools, and partner with global teams to drive strategic initiatives.

The role emphasizes storytelling with data, Python-based analysis, and fluency in Looker and Tableau; you will lead analytics rhythms and ensure data quality for scalable decision making.

Qualifications

• 5+ years in analytics & data analysis, owning company-level metrics or KPI systems.
• Fluency with BI tooling and ability to tell a decision-ready narrative.
• Working Python skills for analysis and automation; comfortable with notebooks and version control.
• Business understanding across cloud products, finance, sales, and marketing.
• Excellent communication; able to present technical content to non-technical audiences.
• Proven ability to start and complete analytical projects independently.
• Action-oriented with attention to detail and analytical mindset.
• Nice to have: pricing analytics, dbt or semantic-layer, AI analytics workflows, leadership ambitions.

Responsibilities

• Leverage large data sets to derive insights informing business decisions across product, R&D, and operations.
• Communicate with business leaders to influence strategic decisions; present complex data simply.
• Collaborate with global teams to integrate data sources and maintain unified reports.
• Develop and maintain centralized tools and dashboards for data extraction and business management.
• Set analytics operating standards: data quality checks, documentation, review practices, prioritization.
• Support analytical rhythms through regular reviews, goal setting, and deep dives.

Skills

Data analytics

Python

BI tooling

Communication

Tools

Looker

Metabase

Tableau

Job description

Описание

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.

Задачи

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.

Требования

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. Будет плюсом: 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.

Условия

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.