42 Workforce Management Analyst jobs in the United Kingdom
Workforce Management Analyst
Posted today
Job Viewed
Job Description
Real-Time Analyst
Location: London
Salary: £30,000–£40,000 (depending on experience)
Contract: Permanent
About the Role
Our client is looking for a Real-Time Analyst to join their Workforce Planning team. This role is key to ensuring smooth day-to-day operations across multiple contact channels by monitoring live performance, managing adherence, and optimising staffing levels to meet service targets.
The Real-Time Analyst acts as the eyes and ears of the operation - analysing data in real time, identifying potential risks to service delivery, and making quick decisions to balance workload, resources, and performance.
Key Responsibilities
- Monitor intraday performance across all queues, channels, and sites.
- Reforecast staffing requirements based on call and task volume fluctuations.
- Manage schedule adherence, breaks, and off-phone activities in real time.
- Communicate service-impacting issues to operations, team leaders, and planning.
- Recommend actions to mitigate SLA risks (e.g., call rerouting, overtime, reallocations).
- Maintain real-time dashboards, reports, and alerts for key metrics (AHT, ASA, occupancy, shrinkage).
- Provide regular performance updates and post-day analysis to identify trends and improvement opportunities.
- Support short-term forecasting, reporting, and data accuracy checks.
- Collaborate with planning, operations, and IT to improve process and tool efficiency.
About You
- Previous experience in a Real-Time Analyst, Service Analyst, or Workforce role within a contact centre or operations environment.
- Strong understanding of key contact centre metrics (AHT, ASA, occupancy, shrinkage, adherence).
- Confident using WFM tools and Excel or Power BI.
- Excellent communication and problem-solving skills - calm under pressure and decisive.
- Analytical mindset with good attention to detail and commercial awareness.
- Adaptable to changing business demands and capable of making fast, data-driven decisions.
- Healthcare or regulated industry experience is beneficial but not essential.
Why Apply
This is an excellent opportunity to join a growing, data-driven organisation where you’ll play a pivotal role in operational performance and workforce efficiency. You’ll be supported by an experienced planning team and gain exposure to broader workforce strategy, analytics, and digital transformation initiatives.
Workforce Management Analyst
Posted today
Job Viewed
Job Description
Real-Time Analyst
Location: London
Salary: £30,000–£40,000 (depending on experience)
Contract: Permanent
About the Role
Our client is looking for a Real-Time Analyst to join their Workforce Planning team. This role is key to ensuring smooth day-to-day operations across multiple contact channels by monitoring live performance, managing adherence, and optimising staffing levels to meet service targets.
The Real-Time Analyst acts as the eyes and ears of the operation - analysing data in real time, identifying potential risks to service delivery, and making quick decisions to balance workload, resources, and performance.
Key Responsibilities
- Monitor intraday performance across all queues, channels, and sites.
- Reforecast staffing requirements based on call and task volume fluctuations.
- Manage schedule adherence, breaks, and off-phone activities in real time.
- Communicate service-impacting issues to operations, team leaders, and planning.
- Recommend actions to mitigate SLA risks (e.g., call rerouting, overtime, reallocations).
- Maintain real-time dashboards, reports, and alerts for key metrics (AHT, ASA, occupancy, shrinkage).
- Provide regular performance updates and post-day analysis to identify trends and improvement opportunities.
- Support short-term forecasting, reporting, and data accuracy checks.
- Collaborate with planning, operations, and IT to improve process and tool efficiency.
About You
- Previous experience in a Real-Time Analyst, Service Analyst, or Workforce role within a contact centre or operations environment.
- Strong understanding of key contact centre metrics (AHT, ASA, occupancy, shrinkage, adherence).
- Confident using WFM tools and Excel or Power BI.
- Excellent communication and problem-solving skills - calm under pressure and decisive.
- Analytical mindset with good attention to detail and commercial awareness.
- Adaptable to changing business demands and capable of making fast, data-driven decisions.
- Healthcare or regulated industry experience is beneficial but not essential.
Why Apply
This is an excellent opportunity to join a growing, data-driven organisation where you’ll play a pivotal role in operational performance and workforce efficiency. You’ll be supported by an experienced planning team and gain exposure to broader workforce strategy, analytics, and digital transformation initiatives.
Workforce Management Analyst
Posted today
Job Viewed
Job Description
Real-Time Analyst
Location: London
Salary: £30,000–£40,000 (depending on experience)
Contract: Permanent
About the Role
Our client is looking for a Real-Time Analyst to join their Workforce Planning team. This role is key to ensuring smooth day-to-day operations across multiple contact channels by monitoring live performance, managing adherence, and optimising staffing levels to meet service targets.
The Real-Time Analyst acts as the eyes and ears of the operation - analysing data in real time, identifying potential risks to service delivery, and making quick decisions to balance workload, resources, and performance.
Key Responsibilities
- Monitor intraday performance across all queues, channels, and sites.
- Reforecast staffing requirements based on call and task volume fluctuations.
- Manage schedule adherence, breaks, and off-phone activities in real time.
- Communicate service-impacting issues to operations, team leaders, and planning.
- Recommend actions to mitigate SLA risks (e.g., call rerouting, overtime, reallocations).
- Maintain real-time dashboards, reports, and alerts for key metrics (AHT, ASA, occupancy, shrinkage).
- Provide regular performance updates and post-day analysis to identify trends and improvement opportunities.
- Support short-term forecasting, reporting, and data accuracy checks.
- Collaborate with planning, operations, and IT to improve process and tool efficiency.
About You
- Previous experience in a Real-Time Analyst, Service Analyst, or Workforce role within a contact centre or operations environment.
- Strong understanding of key contact centre metrics (AHT, ASA, occupancy, shrinkage, adherence).
- Confident using WFM tools and Excel or Power BI.
- Excellent communication and problem-solving skills - calm under pressure and decisive.
- Analytical mindset with good attention to detail and commercial awareness.
- Adaptable to changing business demands and capable of making fast, data-driven decisions.
- Healthcare or regulated industry experience is beneficial but not essential.
Why Apply
This is an excellent opportunity to join a growing, data-driven organisation where you’ll play a pivotal role in operational performance and workforce efficiency. You’ll be supported by an experienced planning team and gain exposure to broader workforce strategy, analytics, and digital transformation initiatives.
Workforce Management Analyst
Posted today
Job Viewed
Job Description
Real-Time Analyst
Location: London
Salary: £30,000–£40,000 (depending on experience)
Contract: Permanent
About the Role
Our client is looking for a Real-Time Analyst to join their Workforce Planning team. This role is key to ensuring smooth day-to-day operations across multiple contact channels by monitoring live performance, managing adherence, and optimising staffing levels to meet service targets.
The Real-Time Analyst acts as the eyes and ears of the operation - analysing data in real time, identifying potential risks to service delivery, and making quick decisions to balance workload, resources, and performance.
Key Responsibilities
- Monitor intraday performance across all queues, channels, and sites.
- Reforecast staffing requirements based on call and task volume fluctuations.
- Manage schedule adherence, breaks, and off-phone activities in real time.
- Communicate service-impacting issues to operations, team leaders, and planning.
- Recommend actions to mitigate SLA risks (e.g., call rerouting, overtime, reallocations).
- Maintain real-time dashboards, reports, and alerts for key metrics (AHT, ASA, occupancy, shrinkage).
- Provide regular performance updates and post-day analysis to identify trends and improvement opportunities.
- Support short-term forecasting, reporting, and data accuracy checks.
- Collaborate with planning, operations, and IT to improve process and tool efficiency.
About You
- Previous experience in a Real-Time Analyst, Service Analyst, or Workforce role within a contact centre or operations environment.
- Strong understanding of key contact centre metrics (AHT, ASA, occupancy, shrinkage, adherence).
- Confident using WFM tools and Excel or Power BI.
- Excellent communication and problem-solving skills - calm under pressure and decisive.
- Analytical mindset with good attention to detail and commercial awareness.
- Adaptable to changing business demands and capable of making fast, data-driven decisions.
- Healthcare or regulated industry experience is beneficial but not essential.
Why Apply
This is an excellent opportunity to join a growing, data-driven organisation where you’ll play a pivotal role in operational performance and workforce efficiency. You’ll be supported by an experienced planning team and gain exposure to broader workforce strategy, analytics, and digital transformation initiatives.
Technical Trainer (Data Analysis)
Posted today
Job Viewed
Job Description
DATA ANALYST TRAINER - (BOOTCAMPS&APPRENTICESHIPS) - £45,000 - FULLY REMOTE (MUST BE UK BASED)
SLS Recruitment are working with a leading IT & Digital Training provider and they have a new opportunity for a Data Analyst Trainer to work across their skills bootcamp and apprenticeship provision. This is a fully remote role and will offer a salary of up to £45,000. This opportunity would suit someone who has experience of delivering training in the technology below.
To be considered for this opportunity you will have the following:
- MUST HAVE DELIVERED TRAINING PREVIOUSLY
- MUST HAVE A TEACHING OR ASSESSING QUALIFICATION
- Knowledge of Excel, Access, R, SQL, Power BI and Azure fundamentals.
- Experience of delivering training in Data Analysis a minimum of 1 year.
- A relevant qualification in Data Analysis, ideally at degree level.
As a Data Analyst Trainer you will work with Curriculum, IQA and Service Delivery Teams. You will adapt different ways of working and be able to establish individual learning needs and introduce new ways of working.
For further information on this opportunity to work with a provider who continues to grow, please apply now.
Senior Geologist - Data Analysis
Posted 14 days ago
Job Viewed
Job Description
The responsibilities include developing geological models, assessing resource potential, and preparing detailed technical reports for internal stakeholders and regulatory bodies. You will collaborate closely with exploration teams, mining engineers, and data scientists to ensure geological insights are integrated into all stages of the mining lifecycle. A strong understanding of geological principles, statistical analysis, and geological software (e.g., Leapfrog, ArcGIS, Vulcan) is essential. The ideal candidate will have excellent problem-solving skills, a meticulous approach to data handling, and the ability to communicate complex geological information clearly and concisely. This is a fantastic opportunity for a seasoned geologist to contribute to significant projects and advance their career within a respected organization.
Key Responsibilities:
- Analyze and interpret geological and geophysical data.
- Develop and refine 3D geological models.
- Conduct resource estimation and geological risk assessments.
- Prepare comprehensive technical reports and presentations.
- Collaborate with exploration and mining engineering teams.
- Utilize advanced geological software for data processing and visualization.
- Advise on exploration strategies and target definition.
- Ensure data quality and integrity throughout projects.
- Stay updated on the latest geological techniques and technologies.
- Contribute to the company's overall resource management strategy.
- MSc or PhD in Geology, Geophysics, or a related field.
- Significant experience in geological data analysis and modelling.
- Proficiency in geological software packages (e.g., Leapfrog, ArcGIS, Vulcan).
- Strong statistical analysis and quantitative skills.
- Experience in mineral resource estimation.
- Excellent written and verbal communication skills.
- Ability to work effectively in a hybrid environment.
- Strong problem-solving and critical thinking abilities.
- Familiarity with exploration and mining processes.
Graduate Trainee - Data Analysis
Posted 14 days ago
Job Viewed
Job Description
Key Responsibilities:
- Assist in collecting, cleaning, and organising large datasets from various sources.
- Perform preliminary data analysis using statistical methods and software tools.
- Support senior analysts in generating reports, dashboards, and visualisations to communicate findings.
- Learn and apply data mining techniques to identify trends, patterns, and insights.
- Contribute to the development of data models and analytical frameworks.
- Collaborate with team members on projects, participating in brainstorming sessions and problem-solving activities.
- Assist in documenting data sources, methodologies, and analytical processes.
- Gain exposure to various data analysis tools and technologies (e.g., SQL, Python, R, Tableau).
- Participate in training sessions and workshops to enhance technical and analytical skills.
- Provide support for ad-hoc data requests and analysis as needed.
- 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 problem-solving skills with a keen attention to detail.
- Basic understanding of statistical concepts and data analysis principles.
- Familiarity with or willingness to learn data manipulation and analysis tools (e.g., Excel, SQL).
- Excellent communication and interpersonal skills.
- Ability to work both independently and as part of a team.
- Proactive attitude and eagerness to learn and develop new skills.
- Eligibility to work in the UK.
- Comfortable working in a hybrid work environment.
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Advanced Apprentice - Data Analysis
Posted 21 days ago
Job Viewed
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 21 days ago
Job Viewed
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.
Senior Geologist - Remote Data Analysis
Posted today
Job Viewed
Job Description
The Senior Geologist will be responsible for analysing vast datasets of geological information, including seismic surveys, core samples, and geophysical logs, to identify potential mineral deposits and evaluate their economic viability. You will employ advanced software and methodologies to model subsurface structures, predict resource distribution, and assess geological risks associated with exploration and extraction activities. This involves developing detailed geological reports, creating maps, and contributing to strategic exploration planning.
A critical aspect of this role is collaborating with exploration teams, geophysicists, and mining engineers to integrate geological findings into broader project strategies. You will provide expert geological advice, support decision-making processes, and ensure that exploration and development activities are conducted with a thorough understanding of the geological context. The ability to interpret complex geological phenomena and communicate findings clearly to both technical and non-technical audiences is paramount. Your work will directly influence the success of our client's exploration ventures.
We are looking for individuals with a strong academic background in geology or a related earth science, coupled with extensive practical experience in mineral exploration or mining geology. Proficiency in geological modelling software (e.g., Leapfrog, Vulcan, ArcGIS) and data analysis tools is essential. Excellent problem-solving skills, a keen eye for detail, and the ability to work effectively in both independent remote settings and collaborative team environments are required. Understanding of relevant geological software and data management systems is key. The hybrid nature of this role necessitates good organisational skills and the ability to travel occasionally to our client's operational sites.
If you are a seasoned geologist looking to apply your analytical skills to challenging mining projects, and you are comfortable with a hybrid working model, we encourage you to explore this exciting opportunity.
Location: This is a hybrid role, with the flexibility of remote work and the requirement for occasional on-site visits. The primary office hub is located near Oxford, Oxfordshire, UK .
Responsibilities:
- Analyse and interpret geological data from various sources (seismic, core, well logs, etc.).
- Develop and manage geological models for mineral exploration projects.
- Identify and evaluate potential mineral resource targets.
- Assess geological risks and contribute to exploration strategy development.
- Prepare detailed geological reports and presentations for stakeholders.
- Collaborate with exploration, geophysics, and engineering teams.
- Provide expert geological advice and support for mining operations.
- Utilise geological software for data analysis, modelling, and visualisation.
- Ensure data integrity and adherence to geological standards.
- Stay updated with the latest advancements in geological sciences and exploration techniques.
- MSc or PhD in Geology, Geophysics, or a related Earth Science discipline.
- Significant experience in mineral exploration or mining geology.
- Proficiency in geological modelling and data analysis software (e.g., Leapfrog, Vulcan, ArcGIS).
- Strong understanding of geological principles and exploration techniques.
- Excellent analytical, problem-solving, and report-writing skills.
- Experience with hybrid work models and ability to travel as needed.
- Effective communication and collaboration abilities.