2,522 Network Analysis jobs in the United Kingdom
Senior Consultant, HEOR (Evidence Evaluation & Network Meta-analysis)

Posted 17 days ago
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Job Description
This Senior Consultant;
* leads and oversees complex evidence evaluation and network meta-analysis (NMA) projects, ensuring the use of robust methodologies and high-quality outputs.
* provides statistical capabilities and methodological leadership throughout all project stages, from planning to completion.
* leverages his/her expertise in evidence synthesis, systematic review methodologies, and advanced statistical techniques to design, develop, and deliver client solutions.
* applies proficiency in statistical theory, data analysis and interpretation, regression analysis, and various statistical software tools (such as WinBugs, R, Stata, Python, and SAS) to drive project success.
This role requires a Master's or Doctoral Degree in Health Economics, Health Policy, Statistics, Biostatistics, Mathematics, or other related quantitative fields.
**Knowledge and Experience** :
+ Training and extensive experience in health economics, including the conceptualization and development of systematic literature reviews and network meta-analyses (8+ years, ideally in a consultancy environment)
+ Strong basis in fundamental statistical concepts and methods and familiarity with techniques such as the development of predictive equations, survival analysis (including parametric methods), longitudinal data analysis, meta-analysis, mixed treatment comparison, and other hierarchical analysis techniques
+ Familiarity with machine learning techniques and Bayesian statistics is a plus
+ Strong communication (spoken and written) and problem-solving skills, and an ability to learn quickly
+ Ability to communicate effectively, in non-technical terms, with project team members and clients
+ Experience in managing projects and leading/coaching a project team
+ Keen interest in medical research, provision of healthcare, and the pharmaceutical industry
**Skills:**
+ Strong computing skills (MS Office), including MS Excel
+ High analytical ability
+ Excellent scientific, business writing, and presentation skills with close attention to detail
+ Ability to work under pressure to meet multiple and sometimes competing deadlines
+ Exceptional communication skills, both oral and in writing, especially in the relaying of technical information and what is essential and strategic to the client
+ Self-motivation, enthusiasm, ambition, and flexibility
+ Competent in written and spoken English
+ Software: SAS (Base, Stat, Graph, Macro), R, SPSS, STATA, and WinBUGS; Python is a plus
**Education**
+ Master's degree or equivalent in either life science or a quantitative discipline, such as health economics, economics, mathematics, or statistics
EEO Disclaimer
Parexel is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to legally protected status, which in the US includes race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.
Advanced Apprentice - Data Analysis
Posted 2 days ago
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Job Description
This apprenticeship will provide comprehensive training in data manipulation, analysis, visualization, and reporting. You will work alongside experienced data professionals, learning industry-standard tools and techniques. Your contributions will directly support business intelligence efforts, helping to shape strategic decisions through data-driven recommendations.
What you will learn and do:
- Assist in the collection, cleaning, and preprocessing of diverse datasets from various sources.
- Perform exploratory data analysis to identify trends, patterns, and anomalies.
- Develop reports and dashboards using data visualization tools to present findings clearly and concisely.
- Support the team in designing and implementing data quality checks and validation processes.
- Gain exposure to statistical modeling and predictive analytics concepts.
- Learn to use programming languages such as Python or R for data manipulation and analysis.
- Understand database concepts and SQL for data extraction.
- Collaborate with different departments to understand their data needs and provide analytical support.
- Contribute to the continuous improvement of data processes and methodologies.
- Undertake a structured learning program leading to a recognised qualification in Data Analysis.
- A strong interest in data, analytics, and technology.
- A minimum of 5 GCSEs at Grade C/4 or above, including Maths and English, or equivalent.
- Excellent problem-solving abilities and a keen eye for detail.
- Good communication and teamwork skills.
- A proactive attitude and a willingness to learn.
- Basic understanding of Excel or similar spreadsheet software is advantageous.
Agronomist - Remote Data Analysis
Posted 2 days ago
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Job Description
Key Responsibilities:
- Analyze vast datasets from various sources, including soil sensors, weather stations, satellite imagery, and farm management software.
- Develop predictive models for crop growth, disease outbreaks, and pest infestations.
- Provide data-driven recommendations to farmers and agricultural businesses on planting schedules, fertilization, irrigation, and pest/disease management strategies.
- Interpret complex agricultural data and translate it into clear, concise, and actionable reports and presentations for diverse audiences.
- Collaborate with the R&D team to improve data collection methodologies and analytical tools.
- Stay current with advancements in agricultural science, data analytics, and precision farming technologies.
- Contribute to the development of best practices for sustainable agriculture through data analysis.
- Assist in the design and execution of field trials to validate analytical models and recommendations.
- Troubleshoot data quality issues and implement data cleansing procedures.
- Communicate effectively with clients and internal teams through virtual channels.
- A Master's degree or Ph.D. in Agronomy, Crop Science, Agricultural Science, or a closely related field.
- A strong background in data analysis, statistical modelling, and the use of agricultural data platforms/software.
- Proficiency in data analysis tools such as R, Python, or similar programming languages.
- Experience with GIS software and remote sensing data interpretation.
- Knowledge of various crop types and agricultural systems.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to convey technical information effectively.
- Proven ability to work independently, manage projects, and deliver results in a remote setting.
- Experience in a client-facing role or providing advisory services is a plus.
- A passion for sustainable agriculture and technological innovation.
Graduate Trainee - Data Analysis
Posted 2 days ago
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Job Description
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.
Senior Manager, Data Analysis
Posted 4 days ago
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Job Description
Build creative social media conceptsnYour application
Ready to turn your expertise into impact?nIf you’re looking to lead with data, guide high-level strategy, and help shape a future where insights drive everything—we’d love to hear from you.
Apply now and let’s build smarter campaigns, together.nIntroduction
We are seeking a
Senior Data Analyst
who goes beyond reporting and designing metrics, engineering insights, and building proprietary models. If you are passionate about data exploration, modeling, and social intelligence, we would love to hear from you.nYour tasks
You lead performance analysis across social, influencer, and paid media, delivering strategic recommendationsnYou oversee social listening, competitor benchmarking, and market analysis to refine insightsnYou apply data science methods and collaborate across teams to develop predictive models and data-driven product narrativesnYou analyze social API data and build benchmarks across platforms, countries, content types, and creator tiers to deliver actionable insights and contextual intelligencenYou design and refine the Social Media Value (SMV) metric, integrating multiple data sources into one monetary valuenYou mentor junior analysts, promoting analytical rigor, creativity, and strategic thinkingnYour skills
You have 4-6 years of experience as a Data Analyst or hybrid Analyst/Scientist in digital strategy, social tech, marketing analytics, or agency settingsnYou possess expert knowledge in social analytics, data visualization, and forecasting tools like GWI, Pulsar, and Looker StudionYou are capable of designing scoring models, developing KPIs, and generating predictive insights, while translating technical results into strategic value for global clientsnYou understand social media platform (TikTok, Instagram, YouTube) dynamics and influencer/creator marketing metrics deeplynYou are skilled at working with unstructured API data, turning it into scalable, insightful frameworksnYou demonstrate strong leadership and mentorship skills and you’re fluent in English, any additional language is a plus
#J-18808-Ljbffrn
Remote Exploration Geologist - Data Analysis
Posted 2 days ago
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Job Description
Responsibilities:
- Analyze geological, geochemical, and geophysical data to identify exploration targets.
- Develop and interpret 3D geological models and resource estimates.
- Assess the viability and potential of mineral resource projects.
- Utilize advanced geological software for data analysis and visualization.
- Collaborate remotely with cross-functional exploration teams.
- Contribute to the development of exploration strategies and budgets.
- Ensure the quality and accuracy of geological datasets and reports.
- Prepare technical reports and presentations for management.
- Stay abreast of new technologies and methodologies in mineral exploration.
- Maintain knowledge of global mining trends and commodity markets.
- MSc or PhD in Geology, Economic Geology, or a related field.
- Minimum of 7 years of experience in mineral exploration, with a focus on data analysis.
- Proficiency in geological modeling and resource estimation software (e.g., Leapfrog, Surpac).
- Strong understanding of mineral deposit types and exploration techniques.
- Excellent analytical, critical thinking, and problem-solving skills.
- Experience with geological data management systems.
- Ability to work independently and manage projects effectively in a remote setting.
- Strong written and verbal communication skills.
- Familiarity with scripting languages (Python, R) is a plus.
Advanced Apprenticeship in Data Analysis
Posted 2 days ago
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Job Description
Program Details:
- Comprehensive training in data collection, cleaning, and preparation techniques.
- Learning to use industry-standard tools such as SQL, Python/R, and data visualization software (e.g., Tableau, Power BI).
- Developing skills in data interpretation, statistical analysis, and report generation.
- Gaining practical experience through real-world projects and tasks.
- Mentorship from experienced data analysts and professionals.
- Hybrid learning model: structured remote study combined with on-site work experience.
- Opportunity to earn a recognized qualification upon completion.
- Pathway to potential full-time employment with partner companies.
- Minimum of 5 GCSEs at grades 9-4 (A*-C) including Maths and English, or equivalent qualifications.
- A genuine interest in data analysis and technology.
- Strong numerical and analytical abilities.
- Good problem-solving skills and attention to detail.
- Effective communication and interpersonal skills.
- Ability to work collaboratively in a team and independently.
- Commitment to completing the full apprenticeship program.
- Must be eligible to work in the UK and not currently in full-time education.
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Remote Graduate Trainee - Data Analysis
Posted 2 days ago
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Job Description
Responsibilities:
- Assist in collecting, cleaning, and organizing large datasets from various sources.
- Perform exploratory data analysis to identify trends, patterns, and insights.
- Develop reports and visualizations to communicate findings effectively to stakeholders.
- Support senior analysts in building predictive models and analytical solutions.
- Learn and apply statistical methods and data mining techniques.
- Collaborate with cross-functional teams to understand data requirements and deliver actionable insights.
- Ensure data integrity and accuracy throughout the analysis process.
- Contribute to the development of data dashboards and performance tracking tools.
- Participate in team meetings, training sessions, and knowledge-sharing activities.
- Stay updated on the latest trends and tools in data analysis and data science.
Qualifications:
- Recently graduated with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.
- Strong analytical and problem-solving skills.
- Basic understanding of statistical concepts and data analysis principles.
- Familiarity with data manipulation tools or programming languages (e.g., SQL, Python, R) is a plus.
- Excellent written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote setting.
- A keen eye for detail and a commitment to accuracy.
- Enthusiasm for learning and developing new skills in data analytics.
- Must be eligible to work in the UK.
Geologist - Remote Sensing & Data Analysis
Posted 2 days ago
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Job Description
Responsibilities:
- Utilize remote sensing data (e.g., satellite imagery, LiDAR, SAR) to identify geological features, structures, and potential resource targets.
- Process, analyze, and interpret various types of geological and geophysical data, including seismic, magnetic, and gravity data.
- Develop and apply advanced data analysis techniques and algorithms for geological modeling and interpretation.
- Integrate diverse datasets to create comprehensive geological models and maps.
- Conduct literature reviews and historical data analysis to support exploration and resource assessment efforts.
- Prepare detailed technical reports, presentations, and geological maps for internal and external stakeholders.
- Collaborate virtually with geologists, geophysicists, data scientists, and other team members located worldwide.
- Contribute to the development and refinement of data processing workflows and analytical methodologies.
- Stay abreast of the latest advancements in remote sensing technologies, geological software, and data analysis techniques.
- Ensure data quality, integrity, and consistency throughout all analytical processes.
- Assist in the planning and execution of geological surveys and exploration programs.
- Provide geological expertise and insights to support decision-making in resource development projects.
- Maintain and manage geological databases and datasets.
- Master's or Ph.D. in Geology, Geophysics, Remote Sensing, or a closely related field.
- Minimum of 5-7 years of professional experience in geological exploration, with a specific focus on remote sensing and data analysis.
- Proficiency in geological software (e.g., ArcGIS, QGIS, Leapfrog, Petrel) and remote sensing software (e.g., ERDAS Imagine, ENVI).
- Strong programming skills in languages such as Python, R, or MATLAB for data analysis and scripting.
- Experience with GIS and spatial analysis techniques.
- In-depth understanding of geological principles, mineral deposit types, and exploration methods.
- Familiarity with various remote sensing platforms and data acquisition methods.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to clearly present complex technical information.
- Ability to work independently and manage multiple projects effectively in a remote setting.
- Experience with machine learning applications in geology is a significant advantage.
- Membership in professional geological societies is desirable.
Senior Geologist - Remote Data Analysis
Posted 2 days ago
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Job Description
Key Responsibilities:
- Analyze and interpret geological data from various sources, including drill logs, geophysical surveys, geochemical analyses, and remote sensing imagery.
- Develop and maintain geological models using industry-standard software (e.g., Leapfrog, Vulcan, ArcGIS).
- Identify and evaluate prospective areas for mineral and resource exploration based on geological criteria and data analysis.
- Collaborate with exploration and mine planning teams to provide geological input and recommendations.
- Assess the quality and reliability of geological data, implementing data validation and quality control procedures.
- Prepare detailed geological reports, maps, and cross-sections for internal use and external stakeholders.
- Contribute to resource estimation and reserve calculations, ensuring accuracy and adherence to reporting standards (e.g., JORC, NI 43-101).
- Stay abreast of new geological techniques, technologies, and research relevant to mineral exploration and mining.
- Mentor junior geologists and provide technical guidance on data analysis and interpretation.
- Communicate complex geological concepts effectively to both technical and non-technical audiences.
- Participate in virtual team meetings and contribute to project planning and strategy discussions.
- Master's or Ph.D. in Geology, Geological Engineering, or a related earth science discipline.
- Minimum of 8 years of relevant experience in mineral exploration, mining geology, or resource evaluation.
- Demonstrated expertise in geological data analysis, interpretation, and modeling software (e.g., Leapfrog, Vulcan, Datamine, ArcGIS).
- Strong understanding of structural geology, mineralogy, geochemistry, and geophysics.
- Proven ability to manage and interpret large, complex geological datasets.
- Excellent written and verbal communication skills, with strong report writing capabilities.
- Ability to work independently, manage priorities effectively, and meet deadlines in a remote setting.
- Experience with statistical analysis and data visualization techniques.
- Familiarity with international reporting codes for mineral resources and reserves.
- Membership in a relevant professional geological body is advantageous.