The demand for Data Analysts is substantial, reflecting the increasing importance of data-driven decision-making across various industries. Data analyst positions involve collecting, processing, and analyzing large datasets to identify trends, patterns, and insights. These insights then inform business strategies and improve overall performance. Job boards list many opportunities for skilled data professionals.What Jobs are available for Data Analysts in the United Kingdom?
Showing 1885 Data Analysts jobs in the United Kingdom
Data Analysts
Remote
£30 - £45 per year
Maven Health Clinic
Posted 6 days ago
Job Viewed
Job Description
Data Analyst
Location: Remote
Job Type: Full-time/Part-time/Contract
Department: Data & Analytics
We’re seeking a detail-oriented and analytical Data Analyst to join our growing team. The ideal candidate will be responsible for collecting, processing, and analyzing data to help guide strategic decisions, identify trends, and improve business performance. You’ll work closely with cross-functional teams to turn data into actionable insights.
Responsibilities- Collect, clean, and validate data from multiple sources to ensure accuracy and consistency.
- Analyze large datasets to identify trends, patterns, and insights.
- Create dashboards, reports, and visualizations using tools such as Power BI, Tableau, or Excel.
- Develop and maintain automated data pipelines and reporting systems.
- Collaborate with business stakeholders to understand their data needs and provide actionable recommendations.
- Support data-driven decision-making across departments (e.g., marketing, operations, finance).
- Identify opportunities for process improvement through data analysis.
- Ensure data governance, security, and compliance with company policies.
Qualifications- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field.
- Proven experience as a Data Analyst or in a similar analytical role.
- Proficiency in SQL and experience with data visualization tools (e.g., Tableau, Power BI, Looker).
- Strong skills in Excel and data manipulation.
- Experience with Python or R for data analysis is a plus.
- Excellent analytical and problem-solving abilities.
- Strong attention to detail and ability to translate data into business insights.
- Effective communication skills to present findings clearly to non-technical audiences.
What We Offer- Competitive salary and benefits package.
- Flexible work schedule and remote work options.
- Professional development and training opportunities.
- Collaborative and data-driven work culture.
- Opportunities to contribute to high-impact business decisions.
Company Details
The Maven team is built of clinical leaders, engineers, designers, and operators who collaborate to deliver localized support to members in 175 countries and health plans to deliver personalized care and intuitive benefit management to members around the world. As individuals continue to face barriers to care, including limited access to providers, rising costs, systemic inequities, and legal and regulatory limitations, we show up when our members need us most.
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0
Geophysicist - Seismic Data Interpretation (Remote)
AB10 1AA Aberdeen, Scotland
£75000 Annually
WhatJobs Direct
Posted 2 days ago
Job Viewed
Job Description
Our client is a leading energy exploration company seeking a highly skilled Geophysicist specializing in seismic data interpretation to join their globally distributed, fully remote team. This role is crucial for identifying and evaluating potential hydrocarbon reserves. You will be responsible for processing, analyzing, and interpreting large volumes of seismic data, utilizing advanced software and geological knowledge to delineate subsurface structures and identify prospective zones. The ideal candidate will have a deep understanding of seismic principles, extensive experience with various seismic interpretation software packages, and a proven ability to work independently and collaboratively in a remote setting.
Key Responsibilities:
Qualifications:
This fully remote role offers a unique opportunity for a talented geophysicist to contribute to major energy projects without geographical constraints, leveraging cutting-edge technology and collaborative tools.
Key Responsibilities:
- Process, interpret, and integrate 2D/3D seismic data to identify subsurface geological features and potential hydrocarbon traps.
- Utilize advanced interpretation software (e.g., Petrel, Kingdom Suite, GeoGraphix) to create geological models.
- Collaborate with geologists, reservoir engineers, and other geoscientists to integrate seismic interpretations with other subsurface data.
- Perform attribute analysis, velocity modeling, and inversion techniques to enhance data resolution and interpretation accuracy.
- Evaluate seismic data quality and identify areas requiring reprocessing or acquisition.
- Prepare detailed technical reports and presentations documenting interpretations and recommendations.
- Contribute to exploration strategy development and prospect risking.
- Mentor junior geophysicists and share expertise within the team.
- Stay current with advancements in seismic acquisition, processing, and interpretation technologies.
Qualifications:
- Master's or Ph.D. in Geophysics, Geology, or a related Earth Science discipline.
- Minimum of 7 years of experience in seismic data interpretation, with a strong focus on exploration.
- Proficiency in industry-standard seismic interpretation and workstation software.
- Solid understanding of seismic principles, data acquisition, and processing workflows.
- Experience with various geological settings and basin types.
- Strong analytical, problem-solving, and spatial reasoning skills.
- Excellent written and verbal communication skills, adapted for remote collaboration.
- Demonstrated ability to work independently and manage time effectively in a remote environment.
- Experience with workstation-based geological modeling is a plus.
This fully remote role offers a unique opportunity for a talented geophysicist to contribute to major energy projects without geographical constraints, leveraging cutting-edge technology and collaborative tools.
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1
Senior Data Mining Analyst
BN1 1AA East Sussex, South East
£60000 Annually
WhatJobs Direct
Posted 2 days ago
Job Viewed
Job Description
Our client is seeking an experienced Senior Data Mining Analyst to join their growing analytics team, based in **Brighton, East Sussex, UK**. This role will involve extracting valuable insights from large datasets, developing predictive models, and driving data-informed decision-making across the organisation. The successful candidate will play a crucial role in uncovering hidden patterns, trends, and correlations that can significantly impact business strategy and performance. This hybrid role offers a blend of in-office collaboration and remote flexibility.
Key responsibilities:
Key responsibilities:
- Applying advanced data mining techniques to analyse complex datasets from various sources.
- Developing, testing, and deploying predictive models and machine learning algorithms.
- Identifying key trends, patterns, and anomalies within data to inform business strategy.
- Communicating complex findings and recommendations clearly to both technical and non-technical stakeholders through reports and presentations.
- Collaborating with business units to understand their data needs and translate them into analytical projects.
- Designing and implementing data exploration strategies to discover actionable insights.
- Evaluating and implementing new data mining tools and methodologies.
- Ensuring data quality and integrity throughout the analysis process.
- Mentoring junior analysts and contributing to the team's technical development.
- Staying abreast of the latest advancements in data mining, machine learning, and statistical analysis.
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2
Remote Senior Data Mining Engineer
NE1 4AG Newcastle upon Tyne, North East
£75000 Annually
WhatJobs Direct
Posted 2 days ago
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Job Description
Our client is a pioneering company in the industrial technology sector, leveraging advanced data analytics to optimize complex operational processes. We are seeking an exceptional Senior Data Mining Engineer to join our fully remote data science team. This role is instrumental in extracting, cleaning, transforming, and analyzing vast datasets to uncover valuable insights, patterns, and predictive models. You will be responsible for designing and implementing data mining algorithms, developing machine learning models, and utilizing statistical techniques to solve challenging business problems. The ideal candidate will possess a strong foundation in computer science, statistics, and machine learning, with hands-on experience in big data technologies and distributed computing environments. Proficiency in programming languages such as Python or R, and experience with SQL and NoSQL databases are essential. You will work with large-scale datasets generated from industrial operations, requiring expertise in data warehousing, data lakes, and ETL processes. The ability to translate complex analytical findings into clear, actionable recommendations for stakeholders is crucial. As a senior member of the team, you will mentor junior engineers, contribute to the development of data mining best practices, and collaborate closely with domain experts to understand operational challenges. This role demands strong analytical, problem-solving, and critical thinking skills. You should be adept at working independently in a remote setting, managing multiple projects, and delivering high-quality results on time. A passion for discovering hidden value in data and driving innovation through data-driven solutions is highly valued. This is a unique opportunity to work on cutting-edge data mining projects with significant impact on industrial efficiency and performance.
Responsibilities:
Responsibilities:
- Design, develop, and implement data mining algorithms and machine learning models.
- Extract, clean, and transform large, complex datasets for analysis.
- Apply statistical techniques to identify patterns, trends, and anomalies.
- Develop predictive models to forecast operational outcomes and identify risks.
- Utilize big data technologies and distributed computing frameworks.
- Work with data warehousing, data lakes, and ETL processes.
- Collaborate with domain experts to understand business requirements and operational challenges.
- Mentor junior data scientists and engineers.
- Communicate complex analytical findings to technical and non-technical stakeholders.
- Contribute to the development and refinement of data mining methodologies and best practices.
- Master's or Ph.D. in Computer Science, Statistics, Data Science, or a related quantitative field.
- 5+ years of experience in data mining, machine learning, and statistical analysis.
- Proficiency in programming languages such as Python, R, or Scala.
- Strong experience with SQL and NoSQL databases.
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure).
- Knowledge of data visualization tools and techniques.
- Excellent analytical, problem-solving, and critical thinking skills.
- Proven ability to work effectively in a remote team environment.
- Strong communication and presentation skills.
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3
Remote Mining Geologist - Data Analysis & Modelling
BS1 1UE Bristol, South West
£60000 Annually
WhatJobs Direct
Posted 1 day ago
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Job Description
Our client, a globally recognized leader in the mining sector, is seeking an exceptional Remote Mining Geologist with a strong focus on data analysis and geological modelling. This position is fully remote, offering the flexibility to work from anywhere. You will play a critical role in evaluating mineral potential, interpreting geological data, and contributing to the development of advanced resource models for prospective and operating mines. The ideal candidate will possess a deep understanding of geological principles, extensive experience with geological software, and a proven ability to analyze large datasets. Responsibilities include collecting, processing, and interpreting geological, geochemical, and geophysical data; constructing detailed 3D geological models; performing resource estimations using industry-standard software; and collaborating with exploration and mine planning teams to provide geological insights. You will also contribute to the geological reporting and documentation for compliance and investment purposes. The ability to work independently, manage multiple projects, and communicate complex geological concepts clearly to both technical and non-technical stakeholders is essential. A Bachelor's or Master's degree in Geology, Geosciences, or a related field is required, along with significant experience in mineral exploration or mine geology, ideally with a focus on data-driven analysis and modelling. This is a unique opportunity to contribute to significant mining projects from a remote location, leveraging cutting-edge technology and your expertise.
Responsibilities:
Responsibilities:
- Collect, analyze, and interpret geological, geochemical, and geophysical data.
- Develop and maintain detailed 3D geological models for resource estimation.
- Perform accurate resource and reserve estimations using specialized software.
- Collaborate with exploration and mine planning teams to integrate geological insights.
- Prepare geological reports for internal use, regulatory bodies, and investors.
- Stay updated with advancements in geological software and modelling techniques.
- Contribute to exploration targeting and project evaluation.
- Ensure data integrity and adherence to industry best practices.
- Bachelor's or Master's degree in Geology, Earth Sciences, or a related field.
- 5+ years of experience in mineral exploration or mine geology.
- Proficiency with geological modelling software (e.g., Leapfrog, MinePlan, Surpac).
- Strong data analysis and statistical modelling skills.
- Experience with scripting languages (e.g., Python) is a plus.
- Excellent written and verbal communication skills.
- Ability to work independently and manage projects effectively in a remote environment.
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4
Remote Mining Data Analyst
CF10 1AA Cardiff, Wales
£45000 annum (pro-
WhatJobs Direct
Posted 2 days ago
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Job Description
Our client is seeking a skilled and analytical Remote Mining Data Analyst to join their innovative team. This is a fully remote contract position, allowing you to leverage your expertise in data analysis within the mining sector from anywhere in the UK. The role focuses on interpreting complex geological and operational data to identify trends, optimize processes, and support strategic decision-making. You will be instrumental in transforming raw data into actionable insights that drive efficiency and profitability in mining operations.
Key Responsibilities:
Key Responsibilities:
- Collect, clean, and process large datasets from various mining operations, including exploration, production, and financial metrics.
- Develop and implement data models and algorithms to analyse mining performance, resource estimation, and operational efficiency.
- Identify patterns, trends, and anomalies within data to provide insights into geological formations, ore grades, and extraction yields.
- Create compelling data visualisations, dashboards, and reports to communicate findings to stakeholders with varying technical backgrounds.
- Collaborate with geologists, engineers, and management to understand their data needs and provide tailored analytical solutions.
- Monitor key performance indicators (KPIs) and provide recommendations for improvement.
- Develop predictive models for equipment maintenance, production forecasts, and market trends.
- Ensure data integrity and accuracy throughout the analysis process.
- Stay up-to-date with the latest data analysis tools and techniques relevant to the mining industry.
- Contribute to the development of data-driven strategies for resource management and operational enhancement.
- Bachelor's or Master's degree in Data Science, Statistics, Mining Engineering, Geology, or a related quantitative field.
- Proven experience as a Data Analyst, preferably within the mining or natural resources sector.
- Strong proficiency in data analysis software such as Python (Pandas, NumPy, Scikit-learn), R, or SQL.
- Experience with data visualisation tools like Tableau, Power BI, or similar.
- Familiarity with geological software and mining databases is a plus.
- Excellent analytical and problem-solving skills.
- Strong communication skills, with the ability to explain complex data insights clearly and concisely.
- Ability to work independently, manage multiple projects, and meet deadlines in a remote environment.
- A dedicated home office setup with reliable high-speed internet access.
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5
Remote Mining Data Analyst
CV1 1DA Coventry, West Midlands
£55000 Annually
WhatJobs Direct
Posted 2 days ago
Job Viewed
Job Description
Our client, a global leader in the mining industry, is seeking a highly analytical and experienced Mining Data Analyst to join their fully remote team. This role is critical for leveraging vast amounts of data to provide actionable insights that drive operational efficiency, safety, and profitability across various mining projects. You will be responsible for collecting, cleaning, processing, and analysing complex datasets related to exploration, extraction, processing, and market trends. Utilizing advanced statistical methods and data visualization tools, you will identify key performance indicators, detect anomalies, and build predictive models to forecast outcomes and mitigate risks. The ideal candidate will have a strong background in data science, a deep understanding of mining operations, and the ability to communicate technical findings effectively to both technical and non-technical stakeholders. This position offers the unique advantage of working remotely, providing a flexible work environment while contributing to significant strategic decisions within the mining sector.
Key Responsibilities:
Key Responsibilities:
- Collect, clean, and transform large datasets from various mining operations and sources.
- Develop and implement statistical models and machine learning algorithms for data analysis and prediction.
- Create compelling data visualizations and reports to communicate findings and insights to management and operational teams.
- Identify trends, patterns, and correlations within mining data to optimize exploration, production, and resource management.
- Monitor key performance indicators (KPIs) and provide recommendations for improvement.
- Collaborate with geologists, engineers, and operations managers to understand data needs and deliver relevant analytical solutions.
- Develop and maintain data dictionaries and documentation for analytical processes.
- Stay current with advancements in data analytics, data science, and mining technologies.
- Ensure data integrity, accuracy, and security throughout all analytical processes.
- Support decision-making by providing data-driven insights and forecasting.
- Master's or Ph.D. in Data Science, Statistics, Mining Engineering, Geostatistics, or a related quantitative field.
- Proven experience as a Data Analyst or Data Scientist, preferably within the mining or natural resources sector.
- Proficiency in programming languages such as Python or R, and experience with data manipulation libraries (e.g., Pandas, NumPy).
- Strong knowledge of SQL for database querying and management.
- Experience with data visualization tools like Tableau, Power BI, or Matplotlib/Seaborn.
- Familiarity with statistical modeling, machine learning techniques, and predictive analytics.
- Understanding of mining processes, geology, and exploration techniques is highly desirable.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex data insights clearly.
- Ability to work independently and manage projects effectively in a remote setting.
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6
Remote Geological Surveyor & Data Analyst - Mining Operations
B3 2PU Birmingham, West Midlands
£60000 Annually
WhatJobs Direct
Posted today
Job Viewed
Job Description
Our client is a leading entity in the global mining sector, seeking a highly analytical and experienced Remote Geological Surveyor & Data Analyst to join their forward-thinking operations team. This fully remote position allows you to contribute your expertise from anywhere, focusing on the meticulous analysis of geological data to inform exploration and extraction strategies. You will be instrumental in interpreting complex datasets, identifying valuable mineral deposits, and optimizing resource management through advanced analytical techniques. This role is crucial for ensuring the efficiency and sustainability of our mining ventures.
Key Responsibilities:
Key Responsibilities:
- Conduct remote analysis of geological survey data, including seismic, geophysical, and geochemical information.
- Utilize advanced software and modeling techniques to identify and delineate potential mineral deposits.
- Interpret borehole data, core samples, and other geological information to assess resource quality and quantity.
- Develop geological models and reports to support exploration and mine planning decisions.
- Collaborate virtually with on-site geologists, mining engineers, and other stakeholders to provide critical data insights.
- Monitor and analyze geological trends and changes in existing mining sites to predict potential challenges or opportunities.
- Maintain and manage large geological databases, ensuring data integrity and accessibility.
- Contribute to the development of exploration strategies and risk assessments.
- Stay abreast of new technologies and methodologies in geological surveying and data analysis.
- Prepare comprehensive presentations and reports for management and technical teams.
- Ensure compliance with relevant environmental and safety regulations in data interpretation and reporting.
- MSc or PhD in Geology, Geophysics, Mining Engineering, or a closely related field.
- Significant experience (7+ years) in geological surveying, data analysis, and mineral resource exploration.
- Expertise in geological modeling software (e.g., Leapfrog, Vulcan, Micromine) and data analysis tools.
- Proven ability to interpret and analyze diverse geological datasets from various sources.
- Strong understanding of mining operations, exploration techniques, and resource estimation.
- Excellent analytical and problem-solving skills with a keen eye for detail.
- Proficiency in data visualization and reporting.
- Exceptional written and verbal communication skills, suitable for remote collaboration.
- Demonstrated ability to work independently and manage time effectively in a remote setting.
- Familiarity with GIS software is highly desirable.
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7
Senior Data Scientist - Mining Operations
BN1 1AD East Sussex, South East
£70000 Annually
WhatJobs Direct
Posted 2 days ago
Job Viewed
Job Description
Our client, a global leader in resource extraction and processing, is seeking an exceptional Senior Data Scientist to drive innovation within their mining operations. This is a fully remote role, offering the flexibility to work from anywhere within the UK. You will leverage your advanced analytical skills and expertise in machine learning and statistical modeling to unlock critical insights from vast datasets generated by our mining sites. The focus will be on optimizing extraction processes, improving safety, predicting equipment failures, and enhancing overall operational efficiency. You will collaborate closely with geologists, engineers, and operational managers worldwide, translating complex data findings into actionable strategies that have a tangible impact on our business. The ideal candidate will possess a strong academic background, extensive practical experience in applying data science to industrial challenges, and a proven ability to communicate complex technical concepts effectively.
Key Responsibilities:
Qualifications and Skills:
Key Responsibilities:
- Develop and deploy advanced machine learning models and statistical algorithms to address key challenges in mining operations, such as ore grade prediction, production forecasting, and equipment reliability.
- Analyze large, complex datasets from various sources, including geological surveys, sensor data, production logs, and maintenance records.
- Design and implement data pipelines and workflows for data preprocessing, feature engineering, and model training.
- Evaluate and benchmark model performance, iterating and refining solutions for optimal results.
- Collaborate with cross-functional teams (geology, engineering, operations) to identify data-driven opportunities and translate business needs into data science problems.
- Communicate findings and recommendations clearly and concisely to both technical and non-technical stakeholders through visualizations, reports, and presentations.
- Stay abreast of the latest advancements in data science, machine learning, and their applications in the mining industry.
- Mentor junior data scientists and contribute to building a data-driven culture within the organization.
- Ensure the ethical and responsible use of data and AI technologies.
Qualifications and Skills:
- Ph.D. or Master's degree in a quantitative field such as Data Science, Statistics, Computer Science, Mathematics, Physics, or a related discipline.
- 5+ years of professional experience in data science, with a significant focus on applied machine learning and statistical modeling.
- Proven experience working with large, complex datasets and developing predictive models in an industrial or operational setting.
- Proficiency in programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) and R.
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
- Strong understanding of time series analysis, anomaly detection, and optimization techniques.
- Excellent communication, presentation, and stakeholder management skills.
- Ability to work independently and proactively in a remote environment.
- Domain knowledge in mining or related extractive industries is a strong plus.
- This is a 100% remote position, allowing you to work from any location.
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8
Remote Senior Mining Data Analyst
EH1 1BB Edinburgh, Scotland
£55000 Annually
WhatJobs Direct
Posted 2 days ago
Job Viewed
Job Description
Our client, a global leader in resource extraction and management, is seeking a highly skilled and experienced Senior Mining Data Analyst to join their remote team. This position offers the unique advantage of working from anywhere in the UK, contributing significantly to operational efficiency and strategic decision-making within the mining sector. You will be instrumental in transforming vast datasets from exploration, production, and operational processes into actionable insights. Your primary focus will be on developing, implementing, and maintaining advanced analytical models to identify trends, predict outcomes, and optimize mining operations. Responsibilities include collecting, cleaning, and analyzing large-scale datasets related to geological surveys, resource estimation, production yields, equipment performance, and safety metrics. You will design and build interactive dashboards and reports using BI tools to visualize findings and communicate complex information effectively to stakeholders, including geologists, engineers, and senior management. Crucially, you will identify opportunities for cost reduction, efficiency improvements, and risk mitigation through data-driven recommendations. This role requires a deep understanding of statistical analysis, machine learning techniques, and data mining principles applied within the mining context. Proficiency in programming languages such as Python or R, and experience with SQL databases and data visualization tools (e.g., Tableau, Power BI) are essential. The ideal candidate will have a strong background in mining engineering, geology, geostatistics, or a related quantitative field, coupled with a minimum of five years of experience in data analysis, preferably within the mining or natural resources industry. Excellent analytical, problem-solving, and communication skills are paramount, along with the ability to work autonomously and collaboratively within a virtual team environment. This is a remote-first role, offering flexibility and the opportunity to make a substantial impact on a global scale from Edinburgh 's surrounding regions or anywhere in the UK.
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