Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Lead Data Analyst

nineDots.io
London
1 week ago
Applications closed

Related Jobs

View all jobs

Lead Data Analyst

Lead Data Analyst

Lead Data Analyst

Lead Data Analyst

Lead Data Analyst

Lead Data Analyst

Direct message the job poster from nineDots.io

Regional Manager - Bahrain/Middle East | Football Shirt Fanatic | Hip-Hop Head | Bad Golfer @ nineDots.io

Join a mission-driven, tech-led company as a Lead Data Analyst, working directly with the CEO to help shape the future of a platform used by millions. This is a standalone role offering a high level of trust, autonomy, and impact. You’ll be the go-to person for transforming questions into clear, data-led answers that drive strategic decisions.

The Role:

As Lead Data Analyst, you’ll sit at the intersection of data and leadership. Your work will guide priorities across a company that’s serious about making a positive impact in people’s daily lives, helping them solve real problems through simple, accessible technology.

You’ll take ownership of both recurring reporting and fast-turnaround exploratory analysis. Work is shaped around focused six-week planning cycles, and you’ll play a key role in identifying and solving the most impactful problems the business faces. This is a role for someone who thrives on working independently, enjoys solving problems, and is confident pulling clarity from ambiguity.

What You’ll Be Doing:

  • Leading data analysis across the business as a standalone function.
  • Turning vague or high-level questions into actionable insights.
  • Extracting what people really need from a request, and shaping your own plan to get there.
  • Using SQL to uncover insights in large datasets and communicate them simply.
  • Building clear, impactful dashboards in Tableau that support decision-making.
  • Maintaining key BI reporting, including platform and subscription health metrics.
  • Aligning with stakeholders (particularly Product Managers) to guide prioritisation and support critical decision-making.
  • Designing and evaluating experiments to help test assumptions and validate ideas.
  • Working closely with the CEO and cross-functional teams to influence direction.
  • Supporting six-week delivery cycles with timely, focused analysis.
  • Occasionally travelling internationally, with full support for logistics and planning.

What You’ll Need to Succeed:

  • Strong experience in analytics roles within digital or tech-enabled businesses.
  • Confidence and hands-on experience using Tableau to build clear, impactful dashboards for business stakeholders (certifications or a portfolio would be a strong advantage)
  • Advanced SQL skills, with the ability to write complex queries and work with large datasets
  • Familiarity with Python, R or other scripting tools for deeper analysis.
  • You’ll be the only analyst in this team, so working autonomously is key (you’ll be supported by Data Engineers to help access the data you need).
  • A natural problem-solver who takes initiative and enjoys figuring things out.
  • Strong communication skills and a willingness to speak to people to get the full picture.
  • Able to take minimal input and shape a clear, useful output, without waiting to be told how.

What’s in It for You:

  • A high-trust role working directly with the CEO on meaningful business questions.
  • A mission-driven company focused on solving real-world problems at scale.
  • Highly attractive salary package.
  • Hybrid working pattern, typically 2 to 3 days per week in the office.
  • Occasional international travel, fully supported.

Next Steps:

If this sounds like the kind of role where you’d thrive, we’d love to hear from you. Send your CV or get in touch to find out more.

Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionAnalyst and Information Technology
  • IndustriesTechnology, Information and Media and Data Infrastructure and Analytics

Referrals increase your chances of interviewing at nineDots.io by 2x

Sign in to set job alerts for “Data Analyst” roles.

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 2 days ago

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 day ago

London, England, United Kingdom 1 hour ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 2 months ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 4 months ago

London, England, United Kingdom 5 days ago

London, England, United Kingdom 1 month ago

Greater London, England, United Kingdom 1 week ago

London, England, United Kingdom 4 weeks ago

London, England, United Kingdom 2 weeks ago

Watford, England, United Kingdom 2 weeks ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#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.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.