Head of Data & Analytics

psd group
Leeds
2 months ago
Applications closed

Related Jobs

View all jobs

Interim Head of Data & Analytics

Head of Data

Head of Data Strategy

Head of Internal Audit

Talent Acquisition - Data Analytics & Project Management

Senior Internal Auditor (Maternity Cover - up to 12 Months)

Get AI-powered advice on this job and more exclusive features.

Direct message the job poster from psd group.

About the Company- Our client is seeking a Head of Data and Analytics to drive the organisation's data and analytics strategy, fostering a data-driven culture, and delivering actionable insights to support business growth and innovation.

About the Role- This role oversees the data engineering, data analytics, and data governance teams, ensuring the organisation leverages its data assets effectively while maintaining data governance, security, and compliance.

Responsibilities

  1. Developing and delivering a data & analytics strategy, prioritising data initiatives in conjunction with the business.
  2. Leading a team of data professionals including engineers, analysts and developers.
  3. Oversee the development and support of a scalable and secure data platform, including data lakes, data warehouses and pipelines.
  4. Define and drive data governance for the organisation.
  5. Drive the adoption of advanced analytics, AI and Machine Learning for analytics and customer insights.
  6. Work with key stakeholders across the business to drive data awareness.

Qualifications- Experience in leading a data and analytics function.

Required Skills

  1. A track record of developing and implementing enterprise-wide data and analytics strategies and implementing such on a fully fledged data platform.
  2. Hands-on experience in modern data technologies (e.g., Snowflake, Fabric) and analytics platforms (e.g., Tableau, Power BI, Looker).
  3. Strong knowledge of data governance, security, and compliance frameworks.
  4. Knowledge of data architecture, engineering, and advanced analytics techniques (e.g., machine learning, AI).
  5. Proficiency in cloud platforms (e.g., AWS, Azure, GCP) and big data ecosystems.
  6. Strong leadership, strategic thinking, and communication skills.
  7. The ability to influence and collaborate with senior executives and cross-functional teams.

Preferred Skills

Pay range and compensation package- The role will be based between Leeds and York, with occasional travel to Manchester. This is an excellent opportunity to lead the data area for a well known customer facing organisation.

Equal Opportunity Statement- Include a statement on commitment to diversity and inclusivity.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology, Strategy/Planning, and Analyst

Industries

Transportation, Logistics, Supply Chain and Storage and Consumer Services

#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

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 at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Data science has become an indispensable cornerstone of modern business, driving decisions across finance, healthcare, e-commerce, manufacturing, and beyond. As organisations scramble to capitalise on the insights their data can offer, data scientists and machine learning (ML) experts find themselves in ever-higher demand. In the UK, which has cultivated a robust ecosystem of tech innovation and academic excellence, data-driven start-ups continue to blossom—fuelled by venture capital, government grants, and a vibrant talent pool. In this Q3 2025 Investment Tracker, we delve into the newly funded UK start-ups making waves in data science. Beyond celebrating their funding milestones, we’ll explore the job opportunities these investments have created for aspiring and seasoned data scientists alike. Whether you’re interested in advanced analytics, NLP (Natural Language Processing), computer vision, or MLOps, these start-ups might just offer the career leap you’ve been waiting for.

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.