26 to 50 of 182 Actionable Insight Jobs in the Midlands

pattern recognition. Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Experience with exploratory data analysis and deriving actionable insights from complex datasets. Familiarity with LLM evaluation methods and quality metrics. Comfortable working with Excel, data visualization tools (Tableau/Looker

pattern recognition. Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Experience with exploratory data analysis and deriving actionable insights from complex datasets. Familiarity with LLM evaluation methods and quality metrics. Comfortable working with Excel, data visualization tools (Tableau/Looker

pattern recognition. Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Experience with exploratory data analysis and deriving actionable insights from complex datasets. Familiarity with LLM evaluation methods and quality metrics. Comfortable working with Excel, data visualization tools (Tableau/Looker

pattern recognition. Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Experience with exploratory data analysis and deriving actionable insights from complex datasets. Familiarity with LLM evaluation methods and quality metrics. Comfortable working with Excel, data visualization tools (Tableau/Looker

pattern recognition. Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Experience with exploratory data analysis and deriving actionable insights from complex datasets. Familiarity with LLM evaluation methods and quality metrics. Comfortable working with Excel, data visualization tools (Tableau/Looker

pattern recognition. Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Experience with exploratory data analysis and deriving actionable insights from complex datasets. Familiarity with LLM evaluation methods and quality metrics. Comfortable working with Excel, data visualization tools (Tableau/Looker

pattern recognition. Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Experience with exploratory data analysis and deriving actionable insights from complex datasets. Familiarity with LLM evaluation methods and quality metrics. Comfortable working with Excel, data visualization tools (Tableau/Looker

Yorkshire Tea, McVitie’s, and Cadbury. What You’ll Do Collaborate with cross-functional teams to analyse data, generate reports, and deliver actionable insights that support profitable growth for our clients Work with a tech stack that includes AWS, ZOHO, and other industry-leading tools Combine

Power BI. Develop automated workflows to streamline business processes and improve operational efficiency. Produce detailed Power BI dashboards and reports that deliver actionable insights. Collaborate with IT and business teams to translate requirements into technical solutions aligned with enterprise standards. Provide end-user training and documentation

recruiting for a Senior BI Analyst in the Midlands. You will be responsible for the development of dashboards, reports and provision of actionable insights. This role will suit someone who is strong within Power BI, SQL, and Excel. Senior BI Developer - What will you be doing

user-centred business intelligence, performance dashboards, and advanced analytics to aid strategic decision-making. You'll facilitate collaborative engagement with stakeholders, generate actionable insights by incorporating child voice analysis, performance metrics, and predictive analytics, and oversee secure data transfer processes in compliance with legal, ethical

Improvement & Reporting Recommend and implement process improvements to enhance HR system efficiency and user experience. Oversee reporting and analytics, delivering accurate and actionable insights. Contribute to HR systems strategy and roadmaps, supporting projects and providing subject matter expertise. Person Specification: Proactive, solutions-focused approach with

deliver the business's data and reporting capability. You'll own web analytics, create best-in-class dashboards, respond to ad-hoc data and insight requests, and conduct proactive analysis to uncover opportunities that drive growth. Your work will influence high-level decisions, giving you direct visibility and impact … right up to CEO level. If you're energised by turning complex data into actionable insight and helping fast-moving teams make smarter decisions, this is a role where you'll truly make your mark. Key Responsibilities Manage and develop the company's web analytics

opportunities. Develop and maintain HR dashboards, reports, and databases to monitor KPIs and support operational improvements. Conduct root cause analysis and present actionable recommendations to management. Drive continuous improvement by applying best practices. Skills and Experience: Strong analytical skills with experience in data analysis and reporting.

feedback on model errors and biases. Design, participate in, and review forecasting experiments and challenge frameworks, focused on turning strategic uncertainty into actionable insight. Participate in synchronous collaboration sessions (4-hour windows, 2–3 times per week) to review forecast portfolios, debate scenarios, refine judgments

feedback on model errors and biases. Design, participate in, and review forecasting experiments and challenge frameworks, focused on turning strategic uncertainty into actionable insight. Participate in synchronous collaboration sessions (4-hour windows, 2–3 times per week) to review forecast portfolios, debate scenarios, refine judgments

feedback on model errors and biases. Design, participate in, and review forecasting experiments and challenge frameworks, focused on turning strategic uncertainty into actionable insight. Participate in synchronous collaboration sessions (4-hour windows, 2–3 times per week) to review forecast portfolios, debate scenarios, refine judgments

feedback on model errors and biases. Design, participate in, and review forecasting experiments and challenge frameworks, focused on turning strategic uncertainty into actionable insight. Participate in synchronous collaboration sessions (4-hour windows, 2–3 times per week) to review forecast portfolios, debate scenarios, refine judgments

feedback on model errors and biases. Design, participate in, and review forecasting experiments and challenge frameworks, focused on turning strategic uncertainty into actionable insight. Participate in synchronous collaboration sessions (4-hour windows, 2–3 times per week) to review forecast portfolios, debate scenarios, refine judgments

feedback on model errors and biases. Design, participate in, and review forecasting experiments and challenge frameworks, focused on turning strategic uncertainty into actionable insight. Participate in synchronous collaboration sessions (4-hour windows, 2–3 times per week) to review forecast portfolios, debate scenarios, refine judgments

feedback on model errors and biases. Design, participate in, and review forecasting experiments and challenge frameworks, focused on turning strategic uncertainty into actionable insight. Participate in synchronous collaboration sessions (4-hour windows, 2–3 times per week) to review forecast portfolios, debate scenarios, refine judgments

feedback on model errors and biases. Design, participate in, and review forecasting experiments and challenge frameworks, focused on turning strategic uncertainty into actionable insight. Participate in synchronous collaboration sessions (4-hour windows, 2–3 times per week) to review forecast portfolios, debate scenarios, refine judgments

feedback on model errors and biases. Design, participate in, and review forecasting experiments and challenge frameworks, focused on turning strategic uncertainty into actionable insight. Participate in synchronous collaboration sessions (4-hour windows, 2–3 times per week) to review forecast portfolios, debate scenarios, refine judgments

feedback on model errors and biases. Design, participate in, and review forecasting experiments and challenge frameworks, focused on turning strategic uncertainty into actionable insight. Participate in synchronous collaboration sessions (4-hour windows, 2–3 times per week) to review forecast portfolios, debate scenarios, refine judgments

feedback on model errors and biases. Design, participate in, and review forecasting experiments and challenge frameworks, focused on turning strategic uncertainty into actionable insight. Participate in synchronous collaboration sessions (4-hour windows, 2–3 times per week) to review forecast portfolios, debate scenarios, refine judgments