1 to 25 of 104 Permanent Trend Analysis Jobs

hours per week. We are happy to discuss flexible working! Top 3 skills needed for this role: Incident Management – Major incident handling, root cause analysis, SLA compliance Technical Knowledge – Applications, infrastructure, monitoring tools, quick tech adoption Communication – Clear, timely updates to technical and non-technical stakeholders What this role … investigations, and ensure timely, accurate updates to stakeholders. The role also covers proactive and reactive Problem Management, using tools for monitoring, triage, root-cause analysis, trend detection, and reporting. Key Actions Monitor and drive incidents to closure, escalating when needed Assess severity and manage major incidents through remediation ...

Join Police Digital Service as a NMC Cyber Trend Analyst. Full time, Permanent. Salary starting at £50,000 About Police Digital Service At PDS, we empower UK policing to stay ahead of evolving threats in a rapidly changing digital landscape. As the trusted technology partner for law enforcement … Ability to translate raw data into meaningful insights that inform security posture or service improvements. Development of dashboards, reports, and visualisations to communicate data analysis, security posture, trends, and emerging threats to both internal and external stakeholders. Designing, developing, implementing, and monitoring key performance indicators (KPIs) that measure ...

summary Do you have advanced data analysis skills and a passion for transforming workforce intelligence into meaningful insight? Are you driven by data accuracy, automation, and improving how organisations understand and use workforce information? This is an exciting opportunity to join WWL as a Senior Workforce Information Analyst, playing … data dashboards (Power BI/Qlik) with narrative-driven insight Ensuring ESR and all workforce systems are optimised, accurate and fully integrated Providing expert analysis to support recruitment, retention, absence, wellbeing and EDI workforce priorities Managing data integrity, quality assurance and audit processes Supporting statutory returns (e.g. WRES, WDES ...

processes across Finance, HR, Payroll, and operations Recommend and implement improvements in process efficiency, automation, data integrity, and user experience Conduct root‐cause and trend analyses to identify business opportunities and risks Monitor key performance indicators and provide routine status and improvement reporting Support ad‐hoc business and data ...

processes across Finance, HR, Payroll, and operations Recommend and implement improvements in process efficiency, automation, data integrity, and user experience Conduct root‐cause and trend analyses to identify business opportunities and risks Monitor key performance indicators and provide routine status and improvement reporting Support ad‐hoc business and data ...

strong graduate with a genuine interest in data, fraud prevention, and analytics. The ideal candidate or graduate will have hands on experience with data analysis and coding, particularly using Power BI, and be comfortable working with data sets to identify trends, patterns, and risks. You will be naturally curious … confident challenging data that does not look right. You will enjoy working in a structured environment where accuracy matters, deadlines are real, and analysis drives decision making. The role Reporting to the Fraud Data and Intelligence Manager, you will be responsible for producing high quality management information, analysing fraud ...

strong graduate with a genuine interest in data, fraud prevention, and analytics. The ideal candidate or graduate will have hands on experience with data analysis and coding, particularly using Power BI, and be comfortable working with data sets to identify trends, patterns, and risks. You will be naturally curious … confident challenging data that does not look right. You will enjoy working in a structured environment where accuracy matters, deadlines are real, and analysis drives decision making. The role Reporting to the Fraud Data and Intelligence Manager, you will be responsible for producing high quality management information, analysing fraud ...

strong graduate with a genuine interest in data, fraud prevention, and analytics. The ideal candidate or graduate will have hands on experience with data analysis and coding, particularly using Power BI, and be comfortable working with data sets to identify trends, patterns, and risks. You will be naturally curious … confident challenging data that does not look right. You will enjoy working in a structured environment where accuracy matters, deadlines are real, and analysis drives decision making. The role Reporting to the Fraud Data and Intelligence Manager, you will be responsible for producing high quality management information, analysing fraud ...

talent forecasting, attrition risk, and candidate success scores Develop data visualizations, dashboards, and reports using Python, SQL & BI tools Perform EDA (exploratory data analysis) to uncover insights that inform recruitment strategies Work with time-series & cohort data for trend analysis and performance metrics Deploy statistical ...

talent forecasting, attrition risk, and candidate success scores Develop data visualizations, dashboards, and reports using Python, SQL & BI tools Perform EDA (exploratory data analysis) to uncover insights that inform recruitment strategies Work with time-series & cohort data for trend analysis and performance metrics Deploy statistical ...

talent forecasting, attrition risk, and candidate success scores Develop data visualizations, dashboards, and reports using Python, SQL & BI tools Perform EDA (exploratory data analysis) to uncover insights that inform recruitment strategies Work with time-series & cohort data for trend analysis and performance metrics Deploy statistical ...

talent forecasting, attrition risk, and candidate success scores Develop data visualizations, dashboards, and reports using Python, SQL & BI tools Perform EDA (exploratory data analysis) to uncover insights that inform recruitment strategies Work with time-series & cohort data for trend analysis and performance metrics Deploy statistical ...

talent forecasting, attrition risk, and candidate success scores Develop data visualizations, dashboards, and reports using Python, SQL & BI tools Perform EDA (exploratory data analysis) to uncover insights that inform recruitment strategies Work with time-series & cohort data for trend analysis and performance metrics Deploy statistical ...

talent forecasting, attrition risk, and candidate success scores Develop data visualizations, dashboards, and reports using Python, SQL & BI tools Perform EDA (exploratory data analysis) to uncover insights that inform recruitment strategies Work with time-series & cohort data for trend analysis and performance metrics Deploy statistical ...

talent forecasting, attrition risk, and candidate success scores Develop data visualizations, dashboards, and reports using Python, SQL & BI tools Perform EDA (exploratory data analysis) to uncover insights that inform recruitment strategies Work with time-series & cohort data for trend analysis and performance metrics Deploy statistical ...

talent forecasting, attrition risk, and candidate success scores Develop data visualizations, dashboards, and reports using Python, SQL & BI tools Perform EDA (exploratory data analysis) to uncover insights that inform recruitment strategies Work with time-series & cohort data for trend analysis and performance metrics Deploy statistical ...

talent forecasting, attrition risk, and candidate success scores Develop data visualizations, dashboards, and reports using Python, SQL & BI tools Perform EDA (exploratory data analysis) to uncover insights that inform recruitment strategies Work with time-series & cohort data for trend analysis and performance metrics Deploy statistical ...

talent forecasting, attrition risk, and candidate success scores Develop data visualizations, dashboards, and reports using Python, SQL & BI tools Perform EDA (exploratory data analysis) to uncover insights that inform recruitment strategies Work with time-series & cohort data for trend analysis and performance metrics Deploy statistical ...

talent forecasting, attrition risk, and candidate success scores Develop data visualizations, dashboards, and reports using Python, SQL & BI tools Perform EDA (exploratory data analysis) to uncover insights that inform recruitment strategies Work with time-series & cohort data for trend analysis and performance metrics Deploy statistical ...

talent forecasting, attrition risk, and candidate success scores Develop data visualizations, dashboards, and reports using Python, SQL & BI tools Perform EDA (exploratory data analysis) to uncover insights that inform recruitment strategies Work with time-series & cohort data for trend analysis and performance metrics Deploy statistical ...

talent forecasting, attrition risk, and candidate success scores Develop data visualizations, dashboards, and reports using Python, SQL & BI tools Perform EDA (exploratory data analysis) to uncover insights that inform recruitment strategies Work with time-series & cohort data for trend analysis and performance metrics Deploy statistical ...

talent forecasting, attrition risk, and candidate success scores Develop data visualizations, dashboards, and reports using Python, SQL & BI tools Perform EDA (exploratory data analysis) to uncover insights that inform recruitment strategies Work with time-series & cohort data for trend analysis and performance metrics Deploy statistical ...

talent forecasting, attrition risk, and candidate success scores Develop data visualizations, dashboards, and reports using Python, SQL & BI tools Perform EDA (exploratory data analysis) to uncover insights that inform recruitment strategies Work with time-series & cohort data for trend analysis and performance metrics Deploy statistical ...

talent forecasting, attrition risk, and candidate success scores Develop data visualizations, dashboards, and reports using Python, SQL & BI tools Perform EDA (exploratory data analysis) to uncover insights that inform recruitment strategies Work with time-series & cohort data for trend analysis and performance metrics Deploy statistical ...

talent forecasting, attrition risk, and candidate success scores Develop data visualizations, dashboards, and reports using Python, SQL & BI tools Perform EDA (exploratory data analysis) to uncover insights that inform recruitment strategies Work with time-series & cohort data for trend analysis and performance metrics Deploy statistical ...