National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Lead Data Analyst

nineDots.io
Bristol
2 weeks ago
Applications closed

Related Jobs

View all jobs

Lead Data Analyst

Lead Data Analyst

Lead Data Analyst - Geospatial

Lead Data Analyst, KINGS COLLEGE LONDON

Lead Data Analyst - Geospatial

Lead Data Analyst

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.

National AI Awards 2025

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.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.