Lead Data Analyst

Gaydon
1 week ago
Applications closed

Related Jobs

View all jobs

Lead Data Analyst

Lead Data Analyst

ERP Lead Data Analyst

ERP Lead Data Analyst

ERP Lead Data Analyst

Lead Reporting and Data Analyst

The Data analyst role sits within Creative, reporting to the Data Excellence and Compliance Manager in the Business Planning and Transformation Team.

This role will support the design, analysis and maintenance of a diverse range of data inputs and outputs using a variety of tools to achieve reliable and consistent data use via creative visualisation techniques to enable engagement with the whole Creative chapter.

Working across the Creative organisation, the individual will be responsible for developing data input methods, data automation and processes with stakeholders via PowerApps and other tools to enable clear and manageable data inputs to support the Creative ways of working.

It will involve interacting with stakeholders who know what they require but need technical help to develop PowerApps as well as stakeholders who require process and input method design ideas and support from start to finish.

This role will also involve developing, implementing and maintaining analytics working with other data analysts in the team to identify and forecast trends/ patterns in complex data sets, validate assumptions and requirements and capture potential inefficiencies whilst ensuring data outputs are customisable and easily interpreted through visual reporting using tools such as Tableau etc.

KEY ACCOUNTABILITIES AND RESPONSIBILITIES:

  • Organising and transforming information into comprehensible visualisations, using tools such as PowerApps and Tableau

  • Developing processes for data input, data automation and management across the Creative organisation.

  • Using multiple known and unknown data sources to enable data driven decision making through effective trend/ pattern identification and forecasting for various processes such as resourcing and programme management etc

  • Preparing reports and presenting these to stakeholders, managers and decision makers.

  • Monitoring data quality across Creative.

  • Work with various teams and stakeholders across Creative and potentially other areas to identify inefficiencies which can be improved using new data tools such as: Tableau, Power Apps or Power Automate.

  • Undertake any other work as directed by your line manager in connection with your role as may be requested.

    WHAT YOU’LL NEED:

  • Excellent analytical and conceptual thinking skills

  • Experience working with Data Analysis tools such as: Tableau Prep and Tableau

  • Experience working with Microsoft 365 tools such as: SharePoint Lists, Power Apps and Power Automate

  • Competent using: Office, Excel, PowerPoint

  • Good organizational skills

  • Good communication skills

  • Happy to work in a fast-paced environment.

    If you are interested and have the skills and experience required Apply Now

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.

Jobs

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.

Jobs

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.

Jobs Careers

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.