116 Data Analysts jobs in Warrington

We’re looking for a hands-on Business Intelligence Analyst to join the BI & Analytics team at a fast growing team going through an exciting data transformation phase. This role is about more than building dashboards – we need someone who can work end-to-end with data, from extraction through to modelling, optimisation and delivering meaningful insights to the business.

What you’ll be doing

• Designing and delivering Power BI dashboards that are accurate, intuitive and widely adopted across the business.
• Building and maintaining semantic models (star schema, relationships, hierarchies) to create a single source of truth.
• Ability to read SQL Code
• Implementing Row-Level Security (RLS) and governance controls to ensure the right people see the right data.
• Using Power Query (M language) and DAX for advanced transformations and calculations.
• Applying incremental refresh and other optimisation techniques to improve dataset performance.
• Partnering with stakeholders across Finance, Operations and Commercial teams to gather requirements and turn them into actionable insight.
• Communicating the “why” behind the data, not just the numbers.

What we’re looking for

• Proven experience as a BI Analyst / Power BI Developer in a commercial environment.
• Strong technical skills in Power BI (DAX, Power Query, RLS, semantic modelling).
• Ability to read and understand SQL
• Strong stakeholder engagement – able to explain technical concepts to non-technical audiences.
• Comfortable working in a fast-paced, regulated environment where accuracy and governance are critical.

• Assist in collecting, cleaning, and transforming raw data from various sources.
• Perform data analysis using statistical methods and tools to identify trends, patterns, and insights.
• Develop and maintain reports and dashboards to visualize key business metrics.
• Support the creation of presentations and documentation to communicate findings to stakeholders.
• Collaborate with team members to understand data requirements and business objectives.
• Identify opportunities for data quality improvements and process enhancements.
• Learn and apply new analytical techniques and tools.
• Assist in data validation and testing of analytical models.
• Contribute to ad-hoc data analysis requests from different departments.
• Participate in team meetings and training sessions to enhance skills and knowledge.

• Recent graduate with a degree in a quantitative field such as Mathematics, Statistics, Computer Science, Economics, or a related discipline.
• Strong understanding of statistical concepts and data analysis principles.
• Proficiency in data manipulation and analysis tools such as Excel, SQL, and potentially Python or R.
• Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Excellent analytical and problem-solving abilities.
• Strong attention to detail and accuracy.
• Good communication and teamwork skills.
• Eagerness to learn and adapt to new technologies and methodologies.
• Ability to work effectively in a team environment and take direction.
• A genuine interest in business intelligence and data-driven decision-making.

Head of Data & Business Intelligence

£75,000 – £85,000 + Benefits
NW Based, with frequent travel across UK sites

Forward Role are looking for an experienced Head of Data & BI to shape and lead the data strategy for a diverse, multi-entity organisation operating across manufacturing, distribution, and e-commerce. This is a fantastic opportunity to take ownership of building a centralised view of data.

WHJS1_UKTJ

We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you.

Role Title: Threat Intelligence Business Analyst

Location: Knutsford WA16 9EU | Hybrid, 60% Office, 40% Remote

Duration: 31/03/2026

Rate:402GBP/Day(Inside IR35)

Role Description:

The Threat Intelligence Business Analyst plays a critical role in identifying and translating business problems and intelligence requirements into actionable solutions that support the strategic objectives of the Chief Security Office (CSO). Operating within a cross-functional analytics team, the role supports the development and delivery of capabilities within the DataWalk platform by gathering requirements, shaping operational designs, and ensuring stakeholder alignment.

The analyst acts as a bridge between business stakeholders, intelligence analysts, and technical teams, ensuring that solutions are viable, scalable, and embedded effectively across the organisation.

Key Accountabilities

• Identify and analyse business problems and intelligence requirements that require change or enhancement

• Collaborate with stakeholders to obtain, document, and validate business requirements for DataWalk

• Identify and assess the potential impact of proposed deliverables for example, improving existing processes and/or providing new intelligence capabilities.

• Translate stakeholder needs into structured deliverables that guide solution design and implementation

• Support feasibility assessments and contribute to business cases that justify investment in proposed solutions

• Ensure proposed solutions are aligned with operational design and process expectations

• Monitor project progress and support reporting to ensure timely and budget-conscious delivery

• Maintain traceability of requirements through change management activities to ensure successful implementation and ensure value realisation

• Work closely with decision analysts, data analysts, and data modellers to ensure analytical workflows meet business needs

• Champion a collaborative environment that promotes holistic intelligence analysis and cross-team integration

Stakeholder Management and Leadership

This is a critical role in a dynamic, collaborative team, requiring the role-holder to develop strong interpersonal relationships with colleagues across the Threat Intelligence function. The colleague will also regularly engage with our critical intelligence and analytics vendor – both on data science matters, and to develop wider relationships. The role holder may also attend industry-wide intelligence collaboration forums, so an ability to engage with peer analysts from other financial institutions is highly desirable.

S/he will demonstrate leadership by becoming a subject-matter expert in their field, and by engaging proactively and productively with a range of stakeholders across Group Control. The role-holder should be comfortable advocating for the use of analytics with internal customers and stakeholders. This will help integrate analytics into wider business decision-making.

While this role does not have formal People Leader responsibilities, s/he may also be responsible for training and mentoring Early Careers analysts, ensuring their development is in line with current and future Barclays career progression plans.

Decision-making and Problem Solving

This role requires the ability to demonstrate excellent critical thinking, attention to detail and knowledge of analytical techniques. The successful candidate will also be expected to dynamically prioritise stakeholders based on their influence, importance, and current requirements, and effectively identify and fulfil stakeholder needs while managing their expectations.

Risk and Control Objective

Take ownership for managing risk and strengthening controls in relation to the work you do.

Person Specification

The ideal candidate is a business-focused analyst with strong communication and problem-solving skills, capable of navigating complex stakeholder environments and translating intelligence needs into structured solutions.

Attributes and Mindset

- Strong analytical skills to understand business processes, systems, and data

- Ability to communicate effectively with technical and non-technical stakeholders

- Comfortable working across diverse stakeholder groups, from operational teams to senior leadership

- Proactive and collaborative, with a focus on delivering value through structured analysis

- Adaptable to evolving threat landscapes and shifting business priorities

- Committed to continuous learning and improvement

Essential Skills/Basic Qualifications:

• Proven experience in business analysis, including requirements gathering, stakeholder engagement, and solution design

• Familiarity with threat intelligence or security/risk domains.

• Ability to translate business needs into structured deliverables such as process maps, requirement documents, and traceability matrices

• Understanding of data governance and the role of data in decision-making

• Experience working with structured and unstructured data sources

Desirable skills/Preferred Qualifications:

• Experience supporting feasibility studies and business case development.

• Familiarity with graph-based analytics and relational data structures.

• Understanding of scenario planning and predictive modelling concepts.

• Experience working in regulated environments or with sensitive data.

• Knowledge of operational design and process optimisation within intelligence or security functions

• Lead the design, development, and implementation of advanced machine learning and AI models for mining operations.
• Analyze large, complex datasets from geological, operational, and sensor sources to extract actionable insights.
• Develop predictive models for equipment failure, production forecasting, and ore body characterization.
• Optimize mining processes and resource allocation through data-driven insights.
• Mentor and guide a team of data scientists, fostering best practices in modeling and analysis.
• Collaborate with geologists, engineers, and operations managers to understand business needs and identify opportunities for data science application.
• Develop and maintain robust data pipelines and ensure data quality for analytical purposes.
• Present complex analytical findings and recommendations to executive leadership and operational teams.
• Stay abreast of the latest advancements in data science, AI, and their applications in the mining industry.
• Contribute to the strategic roadmap for data and analytics within the organization.

• PhD or Master's degree in Data Science, Computer Science, Statistics, Geostatistics, Engineering, or a related quantitative field.
• Minimum of 8 years of experience as a Data Scientist, with a significant focus on applying advanced analytics and machine learning in industrial or operational environments.
• Proven expertise in developing and deploying machine learning models (e.g., regression, classification, clustering, deep learning).
• Proficiency in programming languages such as Python or R, and experience with data science libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong experience with big data technologies (e.g., Spark, Hadoop) and SQL databases.
• Familiarity with cloud platforms (AWS, Azure, GCP) and their data science services.
• Demonstrated understanding of mining operations, geology, or related industrial processes is highly desirable.
• Excellent communication, presentation, and stakeholder management skills.
• Ability to lead complex projects and mentor junior team members in a remote setting.

• Assist in collecting, cleaning, and processing large datasets.
• Perform data analysis to identify trends, patterns, and insights.
• Develop data visualisations and reports to communicate findings.
• Support senior analysts in various data-related projects.
• Learn and apply statistical methods and analytical techniques.
• Gain proficiency in data analysis tools and software (SQL, Python, R).
• Collaborate with team members in a remote setting.
• Contribute to documentation and knowledge sharing.
• Participate actively in training sessions and workshops.
• Help to ensure data accuracy and integrity.

• Recent graduate with a degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Economics, Engineering).
• Strong analytical and problem-solving abilities.
• Aptitude for working with numbers and data.
• Basic understanding of statistical concepts is beneficial.
• Familiarity with programming languages like Python or R is a plus.
• Excellent written and verbal communication skills.
• Ability to work independently and manage time effectively.
• Strong attention to detail.
• Enthusiasm for learning and developing data analysis skills.
• Access to a reliable internet connection for remote work.