260 Statistical Analysis jobs in the United Kingdom
Graduate Trainee - Data Analysis
NE1 5HQ Newcastle upon Tyne, North East
£25000 annum (pro
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Posted today
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Job Description
Our client, a forward-thinking analytics firm based in Newcastle upon Tyne, Tyne and Wear, UK , is offering an exceptional Graduate Trainee opportunity within their Data Analysis department. This is a fantastic chance for ambitious recent graduates to kick-start their career in a dynamic and data-driven environment. This role offers a hybrid working model, blending essential in-office collaboration and learning with the flexibility of remote work. You will receive comprehensive training and mentorship, working alongside experienced data professionals to develop your skills in data extraction, manipulation, analysis, and visualization. This program is designed to provide a robust foundation in data science principles and practical application.
Key Responsibilities:
Key Responsibilities:
- Assist senior analysts in collecting and cleaning large datasets from various sources.
- Perform data extraction, transformation, and loading (ETL) processes under guidance.
- Conduct exploratory data analysis to identify trends, patterns, and insights.
- Develop and create clear and concise data visualizations and reports to communicate findings.
- Support the development and testing of analytical models.
- Learn and apply statistical methods and techniques relevant to data analysis.
- Collaborate with team members to understand project requirements and contribute to solutions.
- Maintain accurate documentation of data processes and analytical methodologies.
- Participate in team meetings and training sessions to enhance technical and analytical skills.
- Contribute to ad-hoc data analysis requests as needed.
- A recent graduate (within the last 2 years) with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, Physics, or a related discipline.
- Strong analytical and problem-solving abilities.
- Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R).
- Familiarity with SQL for database querying.
- An understanding of statistical concepts and data modelling principles.
- Excellent attention to detail and accuracy.
- Good written and verbal communication skills.
- Ability to work effectively both independently and as part of a team.
- Eagerness to learn and adapt to new technologies and methodologies.
- Previous internship or project experience in data analysis is a plus.
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0
Data Analysis and Validation Associate
Pirbright, South East
CK Group- Science, Clinical and Technical
Posted 4 days ago
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Job Description
CK Group are recruiting for a Data Analysis and Validation Associate to join a global animal health company on a contract basis for 12 months.
Salary:
147.90 per day PAYE
Data Analysis and Validation Associate role:
Your Background :
Company:
Our client is a leading manufacturer of vaccines, parasiticides and pharmaceuticals to protect animals. They are also one of the fastest growing animal health companies in the UK.
Location:
This role is based at our clients site near Pirbright.
Apply:
For more information, or to apply for this Data Analysis and Validation Associate role, please contact the Key Accounts Team on (phone number removed) or email (url removed). Please quote reference (Apply online only).
It is essential that applicants hold entitlement to work in the UK
Please note: This role may be subject to a satisfactory basic Disclosure and Barring Service (DBS) check.
INDKA
Salary:
147.90 per day PAYE
Data Analysis and Validation Associate role:
- Responsible for data analysis, entry and Validation related activities across the Pirbright manufacturing facility, to enable the large scale production of FMD and BTV antigen and finished product in a timely and cost effective manner.
- Analyse production data to identify trends, deviations, and performance metrics.
- Assist in the execution of cleaning validation protocols in line with GMP requirements.
- Bring in SQL / Power BI approaches to improve the site approach to data.
- Support sampling, documentation, and coordination of validation activities.
Your Background :
- GMP experience is essential
- Have a scientific or engineering discipline degree (e.g., Biochemistry, Biotechnology, Chemical Engineering, Pharmaceutical Sciences).
- Understanding of cleaning validation principles and documentation practices.
- Experience with data handling and analytics
- Knowledge of HSE, bio-safety standards, GMP regulations as well as main tools and principles of operational excellence
Company:
Our client is a leading manufacturer of vaccines, parasiticides and pharmaceuticals to protect animals. They are also one of the fastest growing animal health companies in the UK.
Location:
This role is based at our clients site near Pirbright.
Apply:
For more information, or to apply for this Data Analysis and Validation Associate role, please contact the Key Accounts Team on (phone number removed) or email (url removed). Please quote reference (Apply online only).
It is essential that applicants hold entitlement to work in the UK
Please note: This role may be subject to a satisfactory basic Disclosure and Barring Service (DBS) check.
INDKA
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1
Data Analysis and Validation Associate
Pirbright, South East
CK Group- Science, Clinical and Technical
Posted 1 day ago
Job Viewed
Job Description
CK Group are recruiting for a Data Analysis and Validation Associate to join a global animal health company on a contract basis for 12 months.
Salary:
147.90 per day PAYE
Data Analysis and Validation Associate role:
Your Background :
Company:
Our client is a leading manufacturer of vaccines, parasiticides and pharmaceuticals to protect animals. They are also one of the fastest growing animal health companies in the UK.
Location:
This role is based at our clients site near Pirbright.
Apply:
For more information, or to apply for this Data Analysis and Validation Associate role, please contact the Key Accounts Team on (phone number removed) or email (url removed). Please quote reference (Apply online only).
It is essential that applicants hold entitlement to work in the UK
Please note: This role may be subject to a satisfactory basic Disclosure and Barring Service (DBS) check.
INDKA
Salary:
147.90 per day PAYE
Data Analysis and Validation Associate role:
- Responsible for data analysis, entry and Validation related activities across the Pirbright manufacturing facility, to enable the large scale production of FMD and BTV antigen and finished product in a timely and cost effective manner.
- Analyse production data to identify trends, deviations, and performance metrics.
- Assist in the execution of cleaning validation protocols in line with GMP requirements.
- Bring in SQL / Power BI approaches to improve the site approach to data.
- Support sampling, documentation, and coordination of validation activities.
Your Background :
- GMP experience is essential
- Have a scientific or engineering discipline degree (e.g., Biochemistry, Biotechnology, Chemical Engineering, Pharmaceutical Sciences).
- Understanding of cleaning validation principles and documentation practices.
- Experience with data handling and analytics
- Knowledge of HSE, bio-safety standards, GMP regulations as well as main tools and principles of operational excellence
Company:
Our client is a leading manufacturer of vaccines, parasiticides and pharmaceuticals to protect animals. They are also one of the fastest growing animal health companies in the UK.
Location:
This role is based at our clients site near Pirbright.
Apply:
For more information, or to apply for this Data Analysis and Validation Associate role, please contact the Key Accounts Team on (phone number removed) or email (url removed). Please quote reference (Apply online only).
It is essential that applicants hold entitlement to work in the UK
Please note: This role may be subject to a satisfactory basic Disclosure and Barring Service (DBS) check.
INDKA
This advertiser has chosen not to accept applicants from your region.
2
Data Analysis Bootcamp (Hiring Immediately)
N1 2UD Islington, London
ITonlinelearning Recruitment
Posted today
Job Viewed
Job Description
Data Analyst Course Programme Job Guarantee Included Complete online training designed to take you from zero experience to your first data analyst role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Flexible financing options available, with payment plans starting from as low as 142 per month. The Programme Complete this 10-week online training with just 10-15 hours per week of study time. You'll learn industry-standard tools, including Excel, SQL, Python, and Power BI, while building a professional portfolio with workplace projects. The programme includes earning BCS and CompTIA certifications recognised by UK employers, expert tutor support throughout your studies, and dedicated job placement support with CV help, interview preparation, and direct employer introductions. The Outcome 93% of graduates secure data analyst roles within 3 months. Starting salaries: 28,000 38,000 Who This Is For The programme is completely beginner friendly, so no experience needed. Career changers are welcome, and you can study at your own pace. *This programme is available to UK-based learners only. Ready to start earning in data? Limited spaces available. Apply now for the next available cohort.
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3
Agronomist - Remote Sensing & Data Analysis
ST1 5NE Staffordshire, West Midlands
£50000 Annually
WhatJobs
Posted today
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Job Description
Our client is seeking an innovative and technically proficient Agronomist with expertise in remote sensing and data analysis to join their fully remote team. This role will focus on leveraging advanced technologies to monitor crop health, optimize agricultural practices, and enhance yield for clients across diverse geographical regions. The ideal candidate will possess a strong understanding of agronomy principles, combined with significant experience in processing and interpreting satellite imagery, drone data, and other geospatial information. You will be responsible for developing data-driven insights and providing actionable recommendations to farmers and agricultural businesses.
Key Responsibilities:
Key Responsibilities:
- Utilize remote sensing data (satellite, drone imagery) to monitor crop health, growth stages, and identify potential issues (e.g., pests, diseases, nutrient deficiencies).
- Process and analyze large datasets using GIS software, image processing tools, and statistical methods.
- Develop predictive models for crop yield, risk assessment, and resource management.
- Interpret data to provide precise, actionable agronomic recommendations to farmers and agricultural consultants.
- Collaborate with research teams to develop and validate new remote sensing applications in agriculture.
- Create clear and concise reports, maps, and visualizations to communicate findings.
- Stay up-to-date with advancements in remote sensing technology, GIS, and agricultural science.
- Assist in the design and implementation of field trials to validate remote sensing data and models.
- Support the integration of remote sensing data with other agricultural data sources (e.g., weather, soil data).
- Provide technical support and training to internal teams and clients on the use of data analysis tools.
- Master's degree or Ph.D. in Agronomy, Agricultural Science, Remote Sensing, Geospatial Science, or a closely related field.
- Minimum of 3 years of experience in applying remote sensing and GIS technologies in an agricultural context.
- Proficiency in image processing software (e.g., ENVI, ERDAS Imagine) and GIS software (e.g., ArcGIS, QGIS).
- Strong programming skills in Python or R for data analysis and scripting.
- Solid understanding of agronomic principles, crop physiology, and soil science.
- Experience with analyzing data from various satellite platforms (e.g., Sentinel, Landsat) and drones.
- Excellent analytical, problem-solving, and data visualization skills.
- Strong written and verbal communication skills, with the ability to explain complex technical concepts clearly.
- Ability to work independently and manage projects effectively in a remote setting.
This advertiser has chosen not to accept applicants from your region.
4
Senior Bioinformatician (Genomics Data Analysis)
S1 4DT Sheffield, Yorkshire and the Humber
£58000 Annually
WhatJobs
Posted 5 days ago
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Job Description
Our client is seeking an accomplished Senior Bioinformatician with a strong background in genomics data analysis to join their leading scientific research and development team in **Sheffield, South Yorkshire, UK**. This vital role will involve the analysis of large-scale genomic datasets, development of computational pipelines, and collaboration with researchers to drive scientific discovery. The ideal candidate will possess excellent programming skills, a deep understanding of bioinformatics tools and algorithms, and a passion for advancing biological understanding through data. This is a permanent, on-site position.
Responsibilities:
Responsibilities:
- Design, develop, and implement robust bioinformatics pipelines for the analysis of diverse genomic datasets (e.g., WGS, WES, RNA-Seq, ChIP-Seq).
- Perform complex data analysis, interpretation, and visualization of genomic and molecular data.
- Collaborate closely with biologists, geneticists, and other researchers to define project requirements and provide analytical support.
- Develop and maintain databases for storing and managing large-scale genomic data.
- Stay current with the latest advancements in bioinformatics tools, algorithms, and methodologies.
- Contribute to the development of novel computational methods and software tools.
- Troubleshoot and optimize existing bioinformatics workflows.
- Document analytical procedures, findings, and methodologies thoroughly.
- Present research findings and analytical results to scientific colleagues and stakeholders.
- Ensure data integrity, security, and compliance with relevant ethical guidelines.
- Mentor junior bioinformaticians and contribute to the team's technical expertise.
- Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 5 years of hands-on experience in bioinformatics, with a focus on genomics data analysis.
- Strong programming skills in languages such as Python, R, and/or Perl.
- Proficiency with command-line environments (Linux/Unix) and common bioinformatics software packages and databases.
- Experience with next-generation sequencing (NGS) data analysis and associated tools (e.g., BWA, GATK, STAR, DESeq2).
- Solid understanding of statistical methods and machine learning techniques applicable to biological data.
- Experience with data visualization tools and techniques.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to collaborate effectively in a research environment.
- Experience with high-performance computing (HPC) environments is desirable.
- Familiarity with cloud computing platforms for data analysis is a plus.
This advertiser has chosen not to accept applicants from your region.
5
Graduate Trainee Scheme - Data Analysis
MK1 1AU Milton Keynes, South East
£25000 Annually
WhatJobs
Posted 6 days ago
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Job Description
Our client is thrilled to announce an exceptional opportunity for ambitious graduates to join their fully remote Graduate Trainee Scheme focusing on Data Analysis. This program is designed for individuals eager to launch their careers in a data-driven environment, providing comprehensive training and practical experience in analyzing complex datasets. As a Graduate Trainee, you will work on real-world projects, contributing to significant business decisions and gaining invaluable skills in data interpretation, visualization, and reporting. You will be mentored by experienced data analysts and work alongside dedicated teams, receiving exposure to a variety of analytical tools and techniques, including SQL, Python, R, and advanced Excel. The scheme emphasizes learning and development, offering opportunities to explore different facets of data analysis within various business functions. Successful candidates will be proactive learners, possess strong analytical and problem-solving abilities, and demonstrate a keen interest in leveraging data to drive insights. This role is ideal for recent graduates who are seeking a structured pathway into a career in data science or business analytics. You will be involved in data cleaning, transformation, and manipulation, as well as the development of dashboards and reports to communicate findings effectively. The training program includes workshops, online courses, and hands-on project work, ensuring a well-rounded learning experience. Collaboration and communication are key, as you will interact with team members and stakeholders to understand data requirements and present your findings. This program is an excellent springboard for a fulfilling career, offering exposure to diverse business challenges and the chance to develop a specialized skill set in a supportive, remote-first environment. We are looking for enthusiastic individuals ready to make a tangible contribution and grow with our client, impacting business strategies and operational efficiency from Milton Keynes, Buckinghamshire, UK , all conducted remotely.
Responsibilities:
Qualifications:
Responsibilities:
- Assist in collecting, cleaning, and organizing large datasets from various sources.
- Perform exploratory data analysis to identify trends, patterns, and anomalies.
- Support the development and maintenance of data dashboards and reports.
- Learn and apply statistical methods and data modeling techniques.
- Contribute to data-driven problem-solving initiatives across different departments.
- Collaborate with senior analysts to interpret data and generate actionable insights.
- Assist in documenting data sources, methodologies, and findings.
- Participate in training sessions and professional development activities.
- Communicate findings clearly and concisely to team members.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Mathematics, Statistics, Economics, Computer Science, or a related discipline.
- Strong analytical and critical thinking skills.
- Proficiency in Microsoft Excel.
- Familiarity with database concepts and SQL is a plus.
- Basic knowledge of programming languages like Python or R is advantageous.
- Excellent communication and interpersonal skills.
- Ability to work independently and manage time effectively in a remote setting.
- Enthusiasm for learning and a proactive attitude towards challenges.
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6
Senior Agronomist - Remote Data Analysis
CB2 Cambridge, Eastern
£60000 Annually
WhatJobs
Posted 6 days ago
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Job Description
A pioneering agricultural technology company is seeking an experienced Senior Agronomist with a specialization in remote data analysis to join their innovative team. This fully remote role will focus on leveraging advanced data analytics, satellite imagery, and IoT sensor data to provide actionable insights for optimizing crop yields and sustainable farming practices. The successful candidate will work closely with farm managers and agricultural stakeholders across the UK and internationally, offering expert guidance from their home office. This is a fantastic opportunity to be at the forefront of agricultural innovation and contribute to a more sustainable food future.
Responsibilities:
Qualifications:
Responsibilities:
- Analyze large datasets from various sources, including satellite imagery, drone data, weather stations, and soil sensors, to identify trends and patterns in crop health and performance.
- Develop and refine models for predicting crop yields, disease outbreaks, and nutrient deficiencies.
- Provide expert agronomic recommendations based on data analysis to improve farm management practices, optimize irrigation, and enhance soil health.
- Collaborate with cross-functional teams, including data scientists, software engineers, and field agronomists, to develop and deploy data-driven agricultural solutions.
- Create comprehensive reports and visualizations to communicate findings and recommendations to clients and stakeholders.
- Stay current with the latest advancements in precision agriculture, remote sensing technologies, and agricultural data analytics.
- Assist in the development and testing of new data analysis tools and platforms.
- Offer remote agronomic support and advice to farmers and agricultural businesses.
- Ensure data accuracy and integrity throughout the analysis process.
- Contribute to the company's research and development efforts in agricultural science.
Qualifications:
- MSc or PhD in Agronomy, Agricultural Science, Crop Science, or a related field with a strong emphasis on data analysis.
- Minimum of 7 years of experience in agronomy or agricultural science, with at least 4 years focused on data-driven insights and remote sensing technologies.
- Proficiency in analyzing agricultural datasets using statistical software and tools (e.g., R, Python, SPSS).
- Experience with GIS software and remote sensing data analysis platforms (e.g., ArcGIS, QGIS, Google Earth Engine).
- Strong understanding of plant physiology, soil science, and crop management principles.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and presentation skills, with the ability to explain complex data to diverse audiences.
- Proven ability to work independently and collaboratively in a fully remote environment.
- Familiarity with IoT devices in agriculture is a plus.
- Experience in the **Cambridge, Cambridgeshire, UK** region's agricultural or technology sectors is advantageous but not required for this remote role.
This advertiser has chosen not to accept applicants from your region.
7
Remote Graduate Trainee - Data Analysis
L1 1AA Liverpool, North West
£25000 annum (pro
WhatJobs
Posted 7 days ago
Job Viewed
Job Description
Our client is offering an exceptional opportunity for motivated graduates to join their organisation as Remote Graduate Trainees in Data Analysis. This is a fully remote, structured training program designed to equip enthusiastic individuals with the essential skills and knowledge required to excel in the field of data analysis. You will gain hands-on experience working with real-world datasets, learning to extract meaningful insights, and contributing to data-driven decision-making across various business functions.
This program is ideal for recent graduates with a strong quantitative background and a keen interest in data. You will receive comprehensive training in data manipulation, statistical analysis, data visualisation, and relevant software tools such as SQL, Python, and R. Mentorship from experienced data professionals will guide your development, providing practical support and career advice. The role demands a high level of analytical thinking, problem-solving skills, and a meticulous attention to detail. As a remote trainee, you will need to demonstrate strong self-discipline, excellent time management, and effective communication skills to collaborate with your cohort and supervisors. This internship offers a fantastic foundation for a career in data science, business intelligence, or related analytical fields, providing valuable industry experience from the outset.
Key Responsibilities:
This program is ideal for recent graduates with a strong quantitative background and a keen interest in data. You will receive comprehensive training in data manipulation, statistical analysis, data visualisation, and relevant software tools such as SQL, Python, and R. Mentorship from experienced data professionals will guide your development, providing practical support and career advice. The role demands a high level of analytical thinking, problem-solving skills, and a meticulous attention to detail. As a remote trainee, you will need to demonstrate strong self-discipline, excellent time management, and effective communication skills to collaborate with your cohort and supervisors. This internship offers a fantastic foundation for a career in data science, business intelligence, or related analytical fields, providing valuable industry experience from the outset.
Key Responsibilities:
- 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.
This advertiser has chosen not to accept applicants from your region.
8
Lead Forensic Accountant - Data Analysis
EH1 1 Edinburgh, Scotland
£70000 Annually
WhatJobs
Posted 8 days ago
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Job Description
Our client, a prominent forensic accounting and litigation support firm, is seeking an experienced Lead Forensic Accountant with a strong focus on data analysis to join their fully remote team. This exciting role allows you to leverage advanced analytical techniques and technology to investigate financial fraud, disputes, and irregularities from anywhere in the UK. You will be a key player in unearthing critical financial evidence and providing expert insights to legal teams and corporate clients, all while enjoying the flexibility of remote work.
The Lead Forensic Accountant will be responsible for designing and executing complex data analysis projects to identify patterns, anomalies, and evidence of financial misconduct. This includes data extraction, cleansing, analysis, and visualization using specialized forensic accounting software and tools. You will prepare detailed reports, conduct expert witness testimony, and advise clients on risk mitigation strategies. A deep understanding of accounting principles, fraud schemes, and data analytics methodologies is crucial. Exceptional communication and presentation skills are required to effectively convey complex findings to diverse audiences, including non-technical stakeholders.
Key responsibilities include:
The ideal candidate will hold a professional accounting qualification (e.g., ACA, ACCA, CPA) and possess a minimum of 7 years of experience in forensic accounting, with a significant emphasis on data analysis and digital forensics. Proficiency in data analytics tools and databases is essential. Strong analytical, critical thinking, and problem-solving skills are paramount. Excellent written and verbal communication skills, including experience with expert witness testimony, are required. As this is a fully remote position, candidates must demonstrate strong self-management, organization, and communication skills. The role is technically affiliated with our office in Edinburgh, Scotland, UK , but performed entirely remotely.
The Lead Forensic Accountant will be responsible for designing and executing complex data analysis projects to identify patterns, anomalies, and evidence of financial misconduct. This includes data extraction, cleansing, analysis, and visualization using specialized forensic accounting software and tools. You will prepare detailed reports, conduct expert witness testimony, and advise clients on risk mitigation strategies. A deep understanding of accounting principles, fraud schemes, and data analytics methodologies is crucial. Exceptional communication and presentation skills are required to effectively convey complex findings to diverse audiences, including non-technical stakeholders.
Key responsibilities include:
- Leading forensic accounting investigations involving large and complex datasets.
- Developing and applying data analytics techniques to detect fraud, money laundering, and other financial irregularities.
- Utilizing forensic accounting software and data visualization tools (e.g., ACL, IDEA, Tableau) for analysis and reporting.
- Performing detailed financial analysis to quantify economic damages and support litigation.
- Extracting, transforming, and analyzing data from various sources, including accounting systems and databases.
- Preparing comprehensive forensic reports and executive summaries.
- Serving as an expert witness in legal proceedings, presenting findings clearly and effectively.
- Collaborating with legal counsel and clients to understand investigative objectives and requirements.
- Mentoring and guiding junior forensic accountants and analysts.
- Staying current with emerging trends in data analytics, cybersecurity, and forensic accounting.
The ideal candidate will hold a professional accounting qualification (e.g., ACA, ACCA, CPA) and possess a minimum of 7 years of experience in forensic accounting, with a significant emphasis on data analysis and digital forensics. Proficiency in data analytics tools and databases is essential. Strong analytical, critical thinking, and problem-solving skills are paramount. Excellent written and verbal communication skills, including experience with expert witness testimony, are required. As this is a fully remote position, candidates must demonstrate strong self-management, organization, and communication skills. The role is technically affiliated with our office in Edinburgh, Scotland, UK , but performed entirely remotely.
This advertiser has chosen not to accept applicants from your region.
9