Lead Data Analyst

Simply Business
City of London
3 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Analyst

Lead Data Engineer

Data Analyst - Sc cleared

Data Analyst Team Lead

Data Analyst

Data Analyst

Here’s what you’ll be doing:

Are you ready to be a Data Champion? We are looking for an experienced and proactive Lead Data Analyst to join our growing, international, and award-winning data team. This isn't just a role; it’s an opportunity to become a strategic partner within the business, aligning our analytics efforts directly with critical business outcomes and driving innovation using the latest Big Data technologies. If you thrive on autonomy, love solving complex problems, and are eager to shape the future of a rapidly evolving organisation, this is your chance.


We’re looking for someone who is:

  • An expert in SQL with a minimum of 6+ years of professional experience as an Analyst or Data Scientist.
  • Proven to have a sharp aptitude for problem-solving and rigorous experimentation, including A/B testing.
  • A true collaborator, skilled at engaging effectively across diverse cross‑functional development teams.
  • Educated with a degree in a STEM, Economics, or similar quantitative field.
  • Confident in their analytical capability, ready to challenge the status quo and drive organisational improvements.
  • Eager to continuously improve analytical techniques, proactively leveraging the capabilities of our data science and data engineering teams.

As our Lead Data Analyst you’ll:

  • Deliver high-quality analytical insights and actionable recommendations to support Product Teams and help them meet their objectives.
  • Pioneer and execute customer journey analysis to uncover critical user behaviours and pain points.
  • Build and maintain robust dashboards and self‑service query tools, ensuring business stakeholders have access to best‑in‑class tooling.
  • Work closely with data engineers to evolve existing data sets and pipelines, ensuring data quality and accessibility.
  • Measure the vital impact of multi‑channel strategies, providing clarity on ROI and effectiveness.
  • Act as a mentor to more junior team members and work with managers to drive professional development across the analysis function.

If you’re looking for a platform where your expertise translates directly into measurable business change, where you can move beyond simple reporting to genuinely champion a data‑driven culture, and where your own professional growth is actively encouraged, then look no further. Join us, and turn data into definitive strategy. Apply Now!


About Simply Business

We insure small businesses and enable big dreams – not just for our customers, but for our people and communities too. With over 1,000,000 active insurance policies, we protect builders, bakers, landlords and more than 1,200 other trades.


We’re a technology company as well as one that sells insurance. That means we build, we fail, we learn and we improve. We’re a B Corp too, which recognises our strong track record of having a positive impact on people, society and the environment.


Why not check out our advert on YouTube: Simply Business TV advert 2024 : 'Simply the Best'


What are the benefits of working at Simply Business?

We offer a great work‑life balance where every team member has a manageable workload and the flexibility to work hybrid.


On top of the 25 days annual leave (plus bank holidays), we offer leave that suits your needs. Plus the option to buy five more days of holiday with your flexible benefits.


Our flexible parental leave allows you to approach an important time how you want – with six months full pay to the primary caregiver and four weeks full pay if you’re the secondary caregiver.


Our life event leave is an extra days leave every two years for those big moments in your life like moving house or your birthday. And as a thank you to our long‑serving employees we offer a two week paid sabbatical after five years of service, then four weeks off after ten years of service.


And our core benefits can put your mind at ease with private medical insurance through BUPA, that covers any pre‑existing condition. And a health cash plan that covers your everyday medical expenses.


We also make sure you’re compensated fairly with a competitive salary based on your experience and the market we’re in. Plus the potential to earn an annual bonus based on performance.


There’s access to the tools to support your personal development with programmes on our dedicated learning platform. As well as support for your mental health with access to counselling.


We’ll match what you put into your pension up to five per cent. And pass on a tax‑free sum that’s four times your basic salary with our life assurance policy, with the option to increase it to ten times through our flexible benefit scheme.


Our salary sacrifice car scheme gives you the option to buy a brand new, fully insured, and maintained car for a convenient fixed monthly amount taken from your gross salary (after 6 months service).


And our flexible benefits scheme gives you an allocated amount to use each year on benefits like critical illness cover, dental insurance, travel insurance, or a gym membership.


Ready to join us and drive our success as a high‑performing team? Apply today.


#J-18808-Ljbffr

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.