Posted 1w ago

Data Analyst

@ Nomia
London, England, United Kingdom
HybridFull Time
Responsibilities:Own platform, Build dashboards, Improve governance
Requirements Summary:3+ years as a Data Analyst; SQL and Python; data visualization with ThoughtSpot/PowerBI/Tableau; strong communication; procurement or tech experience; eager to learn.
Technical Tools Mentioned:SQL, Python, ThoughtSpot, PowerBI, Tableau
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Job Description

About the Role

The Data Analyst role is critical to promoting data as a key differentiator for Nomia. You will help drive innovation by assisting Nomia in becoming a truly data-driven organisation — putting data at the heart of all business decisions and providing actionable insights across the business.


Roles & Responsibilities

  • Be the platform owner for Nomia's data analytics platform, ThoughtSpot

  • Build dashboards and reporting across various functions, including executive dashboards, financial reporting, and platform insights

  • Assist the business in accessing data that is clean, actionable, and insightful

  • Build analytical tools to help interrogate data from prospective customers and support the Sales team in building business cases

  • Improve Nomia's data governance processes

  • Present your work and findings within the business

  • Stay abreast of advancements in data analytics


About You

  • 3+ years' experience as a Data Analyst

  • Proficient in SQL and Python

  • Expert at data visualisation using ThoughtSpot (preferred), PowerBI, Tableau, or similar tools

  • Proven experience analysing data, generating insights, and presenting your work

  • Strong communication skills — written and verbal — with the ability to engage both technical and non-technical audiences

  • Experience in procurement or tech companies is preferred

  • Genuine enthusiasm for learning new ideas and techniques


General

  • Ensure compliance with Nomia's data protection and information security policies

  • Hybrid work model — 3 days per week in office, with flexibility based on training or team needs

  • Promote inclusivity, innovation, and ethical use of AI across the organisation

  • Be adaptable and proactive in learning new tools, techniques, and methods as the AI landscape evolves