Senior Data Analyst

PeopleScout
Leeds
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Data Analyst/Manager

Data Engineer

Senior Systems and Data Analyst (Grade L)

Before reading this role requires onsite in Leeds 3 days a week, you MUST be already based within a commutable distance of our Leeds HQ -


Purpose and Key Job Activities

The Senior Data Analyst is responsible for transforming raw data into meaningful insights that inform and enhance organisational decision‑making. This includes developing high‑quality reports, dashboards, and analytical outputs that support data‑driven operations across the organisation. In addition, the role may involve working closely with stakeholders, management, and department leaders to execute large‑scale data changes while ensuring data integrity, consistency, and overall quality are maintained.


The Responsibilities
Core Analytical & Reporting Responsibilities

  • Design, build, and maintain dashboards and BI assets (primarily in Power BI).
  • Create meaningful business insights from raw data and communicate findings effectively.
  • Build innovative analytical approaches to solve business problems and share methodologies with stakeholders.
  • Generate reports from single or multiple systems to support business needs.
  • Develop new data models and optimise existing ones to enhance reporting accuracy and speed. SQL, Data Modelling & Data Quality
  • Write robust SQL to support reporting, data transformations, modelling, and problem solving.
  • Support and maintain the Data Warehouse by identifying and revising source data quality issues.
  • Perform data integrity gap analysis to identify key problem areas and assist with root cause analysis.
  • Audit data regularly to ensure integrity, consistency, and quality.

Mass Data Changes & System Support

  • Coordinate and perform mass data changes, developing queries to solve data discrepancies and supporting the business in executing large‑scale data updates.
  • Provide data and application support for existing and future systems, initiatives, acquisitions, and upgrades.
  • Champion self‑service BI through stakeholder training, enablement, and documentation.
  • Provide coaching, training, and best‑practice guidance to colleagues on BI tools and data literacy.

Scope of Work

  • Leads the development and maintenance of dashboards, reports, and analytical models used across the organisation.
  • Manages complex data investigations, data quality assessments, and multi‑source analysis.
  • Works cross‑functionally to understand data needs, develop solutions, and enable insight‑driven decision‑making.
  • Supports and improves data governance, documentation, and reporting standards.
  • Provides guidance and coaching to junior team members and business users.
  • Coordinate and perform mass data changes by developing queries to solve data related discrepancies and assist the business to perform mass change.
  • Develop documentation and how to guides to support established processes and service level agreements.
  • Assist in assessing and implementing new or upgraded software systems and contribute to strategic tooling decisions.
  • Works under general supervision with substantial autonomy.

Essential skills

  • Advanced SQL skills and experience building data models from scratch.
  • Demonstrated proficiency in BI tools Power BI, SSRS/Report Builder or Tableau.
  • Strong ability to translate business requirements into scalable analytical solutions.
  • Experience supporting multiple departments and iterating on outputs.
  • Strong commercial mindset with the ability to understand the "why" behind the data.
  • Experience maintaining data integrity, performing data audits, and conducting gap analysis.
  • Experience supporting mass data changes and production data updates.
  • MUST BE BASED COMMUTABLE OF LEEDS - 3 DAYS A WEEK ONSITE
  • Exposure to Generative AI tools e.g. Copilot Studio or similar.
  • Experience with programming languages used for Data Science e.g. Python, R or similar
  • Experience improving or designing self‑serve analytics environments.
  • Knowledge of modern cloud data platforms e.g. MS Fabric, Databrick, Snowflake or similar.
  • Familiarity with ETL/integration tools e.g. SSIS, ADF, LogicApps, Informatica or similar.
  • Source Code Management e.g. Microsoft Devops or similar.


#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.

Products

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Jobs

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

🍪 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.