Senior Data Analyst

Builder.ai - What would you Build?
London
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst - HOTH, Permanent

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Life at Builder.ai

At Builder.ai we encourage you to experiment! Each role at Builder has unlimited opportunities to learn, progress and challenge the status quo. We want you to help us become even better at supporting our customers and take software development building to new heights.

Our global team is diverse, collaborative and exceptionally talented. We hire people for their differences but all unite with our shared belief in Builder’s HEARTT values: (Heart, Entrepreneurship, Accountability, Respect, Trust and Transparency) and a let’s-get-stuff-done attitude.

In return for your skills and commitment, we offer a range of great perks, from private healthcare and discretionary variable pay or commission scheme, to employee stock options, generous paid leave, and trips abroad #WhatWillYouBuild

About Builder.ai 

We’re on a mission to make software development building so easy everyone can do it – regardless of their background, tech knowledge or budget.  We’ve already helped thousands of entrepreneurs, small businesses and even global brands, like the BBC, Makro and Pepsi achieve their software goals and we’ve only just started. 

Builder.ai was voted as one of 2023’s ‘Most Innovative Companies in AI’ by Fast Company, and won Europas 2022 ‘Scaleup of the Year’. Our team has grown to over 800 people across the world and our recent announcement of $250m Series D funding (and partnership with Microsoft) means there’s never been a more exciting time to become a Builder.

About the role

We are looking for a full stack Senior Data Analyst to join our Data team in London at a stage where you can really make a difference. This is a hands-on role focusing primarily on n sales and operations analytics, collaborating with internal teams to inform decision-making. This role is a great opportunity for an experienced analyst who thrives in a fast-paced technical environment and is looking for an opportunity to build dbt models, create insightful dashboards, dive deep into analyses and handle more complex analysis in Python. This role will also involve senior stakeholder management and hence the ability to communicate actionable solutions that drive business growth. If you are someone who likes to be both strategic and hands on, in a fast paced environment, you will love this role.

Why you should join

AtBuilder.ai, you'll join a trailblazing team rewriting the software development landscape, driven by innovation and creativity. Collaborate with a global community, embracing diverse perspectives, and contribute to impactful projects that span industries. Our inclusive and collaborative culture fosters personal and professional growth, supported by a commitment to your success. With cutting-edge technology, endless possibilities, and a platform to unleash your potential,Builder.aioffers an unparalleled opportunity to shape the future of software development while making a meaningful global impact.

In the data team, you will have opportunities to grow both as a generalist and as a specialist, both across business areas, as well as across the analytics development pipeline.

You’ll be responsible for

  • Provide insights across different Builder business areas, using a range of analytics methods, from simple to more complex
  • Develop and maintain dashboards and visualisations
  • Provide analytics support to company growth and efficiency
  • Translate complex findings and results into a compelling narrative
  • Contribute to source of truth data modelling (dbt)

Requirements

Core:

  • Advanced knowledge of SQL
  • Extensive experience with QlikSense or any other BI tool (Tableau, Looker, Powerbi etc)
  • Strong knowledge of Excel/Google Sheets
  • You are a keen problem solver with a passion for using data to make better decisions, with a strong business acumen
  • Attention to detail but with the ability to see the big picture

Nice to have:

  • Experience with Python
  • Experience and understanding of core statistical principles
  • Experience of basic data science algorithms

Benefits

  • Discretionary variable pay or commission scheme dependant on your role
  • Stock options in a $450 million funded Series D scale-up company
  • 24 days annual leave + bank holidays
  • 2 x Builder family days each year
  • Time off between Christmas and New Year
  • Generous Referral Bonus scheme
  • Pension contributions
  • Private Medical Insurance provided by AXA 
  • Private Dental Insurance provided by Bupa 
  • Access to our Perkbox

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.