Lead Data Analyst

Kainos
Falmouth
1 week ago
Create job alert
Overview

Join Kainos and Shape the Future. At Kainos, we’re problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we’re transforming digital services for millions, delivering cutting-edge Workday solutions, or pushing the boundaries of technology, we do it together. We believe in a people-first culture, where your ideas are valued, your growth is supported, and your contributions truly make a difference. Here, you’ll be part of a diverse, ambitious team that celebrates creativity and collaboration. Ready to make your mark? Join us and be part of something bigger.


Role and Responsibilities

As a Lead Data Analyst in Kainos, you’ll be responsible for matching the needs of data insight with understanding of the available data. Data analysts work closely with customers to produce insight products including reports, dashboards and visualisations but also contribute to project understanding of existing data structures so that inputs and outputs are fully understood. It therefore has a strong consulting element. Most of our work comes through repeat business and direct referrals, which comes down to the quality of our people.



  • Facilitating workshops and discussions to effectively gather requirements and achieving a joint understanding of data and insight needs
  • Taking responsibility for the identification, gathering and analysis of data
  • Recommending data visualisation and dashboard developments to support informed decision making
  • Extracting insight from data across the analytical spectrum (descriptive, diagnostic, predictive & prescriptive)
  • Helping senior stakeholders to understand and meet operational and strategic data insight targets
  • Working as part of a delivery team to support insight generation from digital services
  • Advising customers and managers on the estimated effort and technical implications of visualisations and dashboards
  • Making a significant contribution to the data analysis community and wider data and analytics capability
  • Managing, coaching and developing a small number of staff, with a focus on managing employee performance and assisting in their career development. You’ll also provide direction and leadership for your team as you solve challenging problems together

Minimum (essential) Requirements

  • Strong leadership, analytical and communication skills with a passion for data-driven decision making
  • Confidence engaging and influencing senior customers on both business and technical subjects
  • Ability to lead and facilitate workshops
  • Experience of contributing to bid responses and case studies
  • Ability to identify opportunities for insight within business functions
  • Experience using and configuring data visualisation tools such as Tableau, Power BI, Google Analytics
  • Able to review and comment on data models
  • Strong interpersonal skills with the ability to lead client projects and establish requirements in non-technical language
  • We are passionate about developing people, you will bring experience in managing, coaching, and developing junior members of a team and wider community.

Embracing our differences

At Kainos, we believe in the power of diversity, equity and inclusion. We are committed to building a team that is as diverse as the world we live in, where everyone is valued, respected, and given an equal chance to thrive. We actively seek out talented people from all backgrounds, regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other characteristic that makes them who they are. We also believe every candidate deserves a level playing field.


Our friendly talent acquisition team is here to support you every step of the way, so if you require any accommodations or adjustments, we encourage you to reach out. We understand that everyone's journey is different, and by having a private conversation we can ensure that our recruitment process is tailored to your needs.


#J-18808-Ljbffr

Related Jobs

View all jobs

Lead Data Analyst

Lead Data Analyst

Lead Data Analyst

Lead Data Analyst

Lead Data Analyst

Lead Data Analyst

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.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.

Data Science Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Thinking about switching into data science in your 30s, 40s or 50s? You’re far from alone. Across the UK, businesses are investing in data science talent to turn data into insight, support better decisions and unlock competitive advantage. But with all the hype about machine learning, Python, AI and data unicorns, it can be hard to separate real opportunities from noise. This article gives you a practical, UK-focused reality check on data science careers for mid-life career switchers — what roles really exist, what skills employers really hire for, how long retraining typically takes, what UK recruiters actually look for and how to craft a compelling career pivot story. Whether you come from finance, marketing, operations, research, project management or another field entirely, there are meaningful pathways into data science — and age itself is not the barrier many people fear.