115 Data Analysts jobs in Warrington

This role will be responsible for maintaining and optimising our Data Reporting needs within United Living Infrastructure Services (UIS). Alongside ensuring that we have documented Processes and Governance in place of day to day activities throughout our business unit.

This is a critical role for UIS in a period of growth.

Core systems will play a significant part of this role. Including Operational Works Management, Health and Safety, HR, Finance and Fleet/Transport. Our Work Management System, Totalmobile (Connect & Mobilise) will be one of those the successful candidate will be expect to understand and support with as required.

You will be leading on Projects to ensure the end to end Processes are thoroughly documented, we want you to document, assess, and scrutinize processes and then identify areas for potential improvement. Whilst thinking about Data being captured within systems and reported on through Power Bi Dashboards you will produce. Its an extensive and exciting role!

You will work closely with the Business Support Director who will provide strategy and guidance for the role. And two other Data & System Specialists, who will focus on System Set up/Maintenance, Training and Support to the Teams day to day. This role is all about the Governance and Reporting - the outputs we are looking for to excel in each area.

This is a dynamic role which requires an individual who is going to take initiative and problem solve.

Willingness to learn and support improvements is key. This not an entry level position; we are looking for individuals who can take reigns and resolve things before being asked. You will be expected to be comfortable in hosting, leading meetings and driving the desired outcomes.

To succeed in this role, you should be a quick learner, have excellent skills in Process Mapping, general IT, Excel, SharePoint, Project Management and knowledge of system (APIs) integrations is desirable.

You must have proven experience in Data Reporting areas such as; SQL, Data Models, Power Queries and Power Bi.

Communication skills are critical as you will be liaising with numerous internal and external stakeholders to find solutions.

• Design, develop, and implement advanced statistical models and machine learning algorithms for mining operations (e.g., resource estimation, predictive maintenance, process optimization, safety analytics).
• Collect, clean, and transform large, complex datasets from various sources (e.g., geological surveys, sensor data, production logs, operational systems).
• Perform exploratory data analysis to identify trends, patterns, and insights relevant to mining operations.
• Build and deploy predictive models and analytical solutions into production environments.
• Evaluate and benchmark model performance, iterating to improve accuracy and efficiency.
• Collaborate with cross-functional teams, including geoscientists, engineers, and operations personnel, to understand data needs and deliver actionable insights.
• Communicate complex analytical findings and recommendations clearly and concisely to both technical and executive audiences through reports, presentations, and visualizations.
• Mentor junior data scientists and contribute to the overall growth of the data science team and best practices.
• Stay abreast of the latest advancements in data science, machine learning, and their applications within the mining industry.
• Identify opportunities for leveraging new data sources and analytical techniques to drive business value.
• Contribute to the development of data infrastructure and tooling.

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Engineering, or a related quantitative field.
• 5+ years of professional experience in data science, with a significant focus on applying advanced analytical techniques to real-world problems.
• Proven experience in the mining, oil & gas, or a related heavy industry sector is highly desirable.
• Expertise in programming languages such as Python or R, and proficiency with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
• Strong knowledge of database technologies (SQL, NoSQL) and experience with big data platforms (e.g., Spark, Hadoop).
• Demonstrated experience in developing and deploying machine learning models.
• Excellent understanding of statistical modeling, experimental design, and hypothesis testing.
• Strong analytical, problem-solving, and critical-thinking skills.
• Excellent written and verbal communication skills, with the ability to explain complex concepts to diverse audiences.
• Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
• Ability to work independently and manage complex projects in a remote setting.

• Leading the development and implementation of sophisticated data science models for mining operations, including predictive maintenance, resource estimation, and geological modelling.
• Designing and executing data mining strategies to uncover trends, patterns, and insights from diverse data sources such as sensor data, geological surveys, and operational logs.
• Developing and deploying machine learning algorithms to optimise extraction processes, improve safety outcomes, and reduce operational costs.
• Collaborating closely with mining engineers, geologists, and operational managers in a remote environment to understand their challenges and translate them into data science problems.
• Mentoring and guiding junior data scientists and analysts within the organisation.
• Staying at the forefront of data science and AI advancements, identifying and evaluating new tools and techniques applicable to the mining industry.
• Communicating complex analytical findings and recommendations clearly and concisely to both technical and non-technical stakeholders.
• Ensuring data quality, integrity, and governance across all analytical projects.
• Developing and maintaining robust data pipelines and infrastructure for large-scale data processing.
• Contributing to the strategic roadmap for data analytics and digital transformation within the mining division.
• Evaluating the economic and operational impact of data science initiatives.

Data Analyst

Up to £55,000

Hybrid - Greater Manchester (1-2 days per week)

About the Company

A well-established UK-based organisation with nearly four decades of experience, this company delivers integrated, technology-driven solutions across sectors such as debt recovery, enforcement, and public policy support. Serving government agencies, utilities, and private businesses, they focus on areas including parking enforcement, air quality monitoring, and electric vehicle infrastructure. Committed to ethical practices, they strive to provide efficient and effective services that help advance public policy objectives.

The Role

We are seeking a Data Analytics Specialist to enhance reporting and insights from operational and financial data. With strong reporting already in place, your main focus will be processing complex financial and operational data to equip leadership with actionable insights. You will build and improve sales activity reports, perform trend analysis using SQL, and translate data into clear recommendations that drive strategic decision-making.

A key objective is to improve data literacy across the organisation, making data accessible and understandable for all teams.

Requirements:

• Strong experience in data analytics and financial reporting
• Proficiency in SQL for data extraction and trend analysis
• Ability to translate complex data into actionable insights
• Experience building sales reports and providing strategic recommendations

Apply below or send your profile to to register your interest. Please note we cannot offer sponsorship for this position

• Assist in the collection, cleaning, and preparation of data from various sources.
• Perform exploratory data analysis to identify patterns, trends, and anomalies.
• Develop and maintain reports and dashboards to visualize key metrics.
• Collaborate with senior analysts and stakeholders to understand data requirements.
• Support the design and execution of A/B tests and other analytical experiments.
• Document analytical processes and findings.
• Contribute to the continuous improvement of data collection and analysis methodologies.

• A bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.
• Proficiency in SQL for data extraction and manipulation.
• Familiarity with at least one data analysis tool or programming language (e.g., Python, R, Excel).
• Strong understanding of statistical concepts and methods.
• Excellent written and verbal communication skills, with the ability to explain technical findings to a non-technical audience.
• A keen eye for detail and a commitment to accuracy.
• Ability to work independently and manage multiple tasks effectively in a remote environment.

• Assist in the collection, cleaning, and validation of data from various sources.
• Perform data analysis using statistical methods and relevant software tools.
• Develop reports, dashboards, and visualizations to communicate findings effectively.
• Identify trends, patterns, and anomalies in data to support business objectives.
• Collaborate with different departments to understand their data needs and provide relevant insights.
• Support the development and implementation of data quality initiatives.
• Contribute to the refinement of data collection and analysis processes.
• Stay up-to-date with the latest trends and technologies in data analytics.
• Assist in ad-hoc data requests and research projects.

• A recent graduate with a degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.
• Strong understanding of statistical concepts and data analysis principles.
• Proficiency in using tools like Excel, SQL, and ideally a programming language like Python or R.
• Excellent analytical and problem-solving skills with a keen eye for detail.
• Good communication and presentation skills, with the ability to explain complex data in a clear and concise manner.
• A proactive attitude and eagerness to learn and develop new skills.
• Ability to work both independently and collaboratively within a team.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.

• Assisting in the design and implementation of data collection systems and strategies that promote data accuracy.
• Performing thorough data cleaning and pre-processing to ensure data integrity and reliability.
• Utilising statistical techniques and data visualisation tools to analyse complex datasets.
• Identifying, analyzing, and interpreting trends or patterns in complex data sets.
• Working with management to prioritize business and information needs.
• Developing and implementing databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
• Acquiring data from primary or secondary data sources and maintaining databases/data systems.
• Creating dashboards and reports to communicate insights to non-technical audiences.
• Supporting ad-hoc data analysis requests from various departments.
• Collaborating with cross-functional teams to understand their challenges and provide data-driven solutions.
• Continuously learning and staying updated with the latest advancements in data analytics tools and methodologies.