1 to 25 of 3,062 Decision-Making Jobs in the UK

for a Commercial Analyst to join a growing team as part of their Commercial Excellence team. This role, based in the UK, is crucial for supporting data-driven decision-making across Sales, Marketing, Services, and Finance for the UK and Ireland (UKI) market. As a Commercial Analyst, you will play a key role in delivering insights and analytics More ❯

They value self-development and advise their teams to pursue growth and learning, both inside and outside the office. You will be at the forefront of data-driven decision-making, helping them stay ahead of the competition and deliver outstanding value to clients. Reporting to the Head of Financial Planning and Analysis, you will work closely with management More ❯

They value self-development and advise their teams to pursue growth and learning, both inside and outside the office. You will be at the forefront of data-driven decision-making, helping them stay ahead of the competition and deliver outstanding value to clients. Reporting to the Head of Financial Planning and Analysis, you will work closely with management More ❯

They value self-development and advise their teams to pursue growth and learning, both inside and outside the office. You will be at the forefront of data-driven decision-making, helping them stay ahead of the competition and deliver outstanding value to clients. Reporting to the Head of Financial Planning and Analysis, you will work closely with management More ❯

They value self-development and advise their teams to pursue growth and learning, both inside and outside the office. You will be at the forefront of data-driven decision-making, helping them stay ahead of the competition and deliver outstanding value to clients. Reporting to the Head of Financial Planning and Analysis, you will work closely with management More ❯

They value self-development and advise their teams to pursue growth and learning, both inside and outside the office. You will be at the forefront of data-driven decision-making, helping them stay ahead of the competition and deliver outstanding value to clients. Reporting to the Head of Financial Planning and Analysis, you will work closely with management More ❯

Job Title: Data Scientist (Contract, Hybrid – London) Location: London (Hybrid: 2–3 days/week in office) Contract Type 6–12 months (Contract, possible extension) About The Role We are seeking a skilled Data Scientist to join our dynamic team More ❯

This newly created role represents a fantastic opportunity for an experienced systems-based Financial Crime Analyst to make a real impact in strengthening the first line of defence against fraud and financial crime within a FTSE 500 financial services provider. More ❯

the New Scientist). You will define and maintain reports to track key performance indicators (KPIs), build advanced customer segmentation models, and leverage predictive analytics to enhance business decision-making and identifying key insights to help identify audience opportunities for prospecting. Main Responsibilities Lead data analysis initiatives across the subscriber lifecycle, from acquisition to retention and lifetime value. … retention modelling to forecast churn risk and customer behaviour, leveraging data science techniques. Collaborate with cross-functional teams , including marketing, finance, product and editorial, to ensure data-driven decision-making aligns with business objectives. Deliver actionable recommendations to optimise marketing spend, customer acquisition, product initiatives and retention strategies. Responsible for innovating in how we leverage AI to access More ❯

the New Scientist). You will define and maintain reports to track key performance indicators (KPIs), build advanced customer segmentation models, and leverage predictive analytics to enhance business decision-making and identifying key insights to help identify audience opportunities for prospecting. Main Responsibilities Lead data analysis initiatives across the subscriber lifecycle, from acquisition to retention and lifetime value. … retention modelling to forecast churn risk and customer behaviour, leveraging data science techniques. Collaborate with cross-functional teams , including marketing, finance, product and editorial, to ensure data-driven decision-making aligns with business objectives. Deliver actionable recommendations to optimise marketing spend, customer acquisition, product initiatives and retention strategies. Responsible for innovating in how we leverage AI to access More ❯

the New Scientist). You will define and maintain reports to track key performance indicators (KPIs), build advanced customer segmentation models, and leverage predictive analytics to enhance business decision-making and identifying key insights to help identify audience opportunities for prospecting. Main Responsibilities Lead data analysis initiatives across the subscriber lifecycle, from acquisition to retention and lifetime value. … retention modelling to forecast churn risk and customer behaviour, leveraging data science techniques. Collaborate with cross-functional teams , including marketing, finance, product and editorial, to ensure data-driven decision-making aligns with business objectives. Deliver actionable recommendations to optimise marketing spend, customer acquisition, product initiatives and retention strategies. Responsible for innovating in how we leverage AI to access More ❯

the New Scientist). You will define and maintain reports to track key performance indicators (KPIs), build advanced customer segmentation models, and leverage predictive analytics to enhance business decision-making and identifying key insights to help identify audience opportunities for prospecting. Main Responsibilities Lead data analysis initiatives across the subscriber lifecycle, from acquisition to retention and lifetime value. … retention modelling to forecast churn risk and customer behaviour, leveraging data science techniques. Collaborate with cross-functional teams , including marketing, finance, product and editorial, to ensure data-driven decision-making aligns with business objectives. Deliver actionable recommendations to optimise marketing spend, customer acquisition, product initiatives and retention strategies. Responsible for innovating in how we leverage AI to access More ❯

the New Scientist). You will define and maintain reports to track key performance indicators (KPIs), build advanced customer segmentation models, and leverage predictive analytics to enhance business decision-making and identifying key insights to help identify audience opportunities for prospecting. Main Responsibilities Lead data analysis initiatives across the subscriber lifecycle, from acquisition to retention and lifetime value. … retention modelling to forecast churn risk and customer behaviour, leveraging data science techniques. Collaborate with cross-functional teams , including marketing, finance, product and editorial, to ensure data-driven decision-making aligns with business objectives. Deliver actionable recommendations to optimise marketing spend, customer acquisition, product initiatives and retention strategies. Responsible for innovating in how we leverage AI to access More ❯

team’s focus from reactive reporting to proactive insight, whilst championing a culture of self-serve analytics Carry out analysis across a range of topics to support business decision-making—this includes interpreting A/B test results, modelling scenarios, and identifying opportunities for optimisation and growth Design and deliver analytics models that support performance improvements within the … data sets to yield credible, effective insights A good understanding and knowledge on the insurance industry as well as an understanding of contact centre’s Proven problem-solving, decision-making and prioritisation skills Excellent communication skills, with the ability to work and communicate with stakeholders from all levels of the business Proven experience in project management, with the More ❯

You will actively support the wider business with all their data wants, needs and processes. You'll be involved in decision-making processes by transforming, interpreting, and presenting data. This role is your opportunity to develop key analytical skills, understand our data infrastructure, and support our team in making data-driven decisions. Role Please note that this More ❯

digital tools that enhance design, delivery, and operational efficiency. This is a unique opportunity to contribute to cutting-edge engineering solutions while shaping the future of data-driven decision-making in the built environment. We operate an agile working policy, but please note this opportunity will require weekly attendance at a major project site on the outskirts of More ❯

insights directly shape key business decisions. Strategy Execution: Execution of the vision for how data is utilised across Product and Supplier Management. Implement strategies that enhance data-driven decision-making, ensuring analytics drive both operational efficiency and long-term business growth. Detailed Analysis of P&SM KPIs: Monitor and perform detailed analysis of Product and Supplier Management KPIs More ❯

insights directly shape key business decisions. Strategy Execution: Execution of the vision for how data is utilised across Product and Supplier Management. Implement strategies that enhance data-driven decision-making, ensuring analytics drive both operational efficiency and long-term business growth. Detailed Analysis of P&SM KPIs: Monitor and perform detailed analysis of Product and Supplier Management KPIs More ❯

insights directly shape key business decisions. Strategy Execution: Execution of the vision for how data is utilised across Product and Supplier Management. Implement strategies that enhance data-driven decision-making, ensuring analytics drive both operational efficiency and long-term business growth. Detailed Analysis of P&SM KPIs: Monitor and perform detailed analysis of Product and Supplier Management KPIs More ❯

validate data from various internal and external sources Use tools such as Excel, Power BI, SQL, and Python to analyse data and create visual reports Support data-driven decision-making across teams by providing insights and trend analysis Assist in maintaining data quality and developing dashboards and performance metrics Collaborate with business teams to understand their data needs More ❯

compliance requirements are consistently met. The remaining portion of the role involves broader business data analysis, identifying trends, creating reports, and providing actionable insights to support data-driven decision-making across the organisation. It will also involve development of web-based solutions. Key Responsibilities Extract, analyse, and interpret compliance and business data to identify trends and patterns. Prepare More ❯

to communicate complex technical concepts clearly to non-technical stakeholders. Ability to mentor and lead a team of data scientists, machine learning engineers, and data engineers, with strategic decision-making capability. Essential Qualifications Degree in Data Science, Computer Science, Engineering, Science, Information Systems and/or equivalent formal training plus work experience BS & 5+ years of work experience More ❯

Manager, this role will be part of a dynamic team delivering insightful analysis and driving innovation in systemised reporting via Power BI to support Investment and Development strategy, decision making and performance management. The key stakeholders of this role will be the I&D, Finance and IT teams. This role will work on high-impactful projects such as … and maintaining systemised analytics and self-service reporting tools via Power BI to support I&D and Finance stakeholders improve understanding of the investment and development performance and decision making Partnering with I&D and Finance stakeholders to scope detailed project requirements – translating business requirements into the clear and concise technical development specifications Managing and updating the project More ❯

Manager, this role will be part of a dynamic team delivering insightful analysis and driving innovation in systemised reporting via Power BI to support Investment and Development strategy, decision making and performance management. The key stakeholders of this role will be the I&D, Finance and IT teams. This role will work on high-impactful projects such as … and maintaining systemised analytics and self-service reporting tools via Power BI to support I&D and Finance stakeholders improve understanding of the investment and development performance and decision making Partnering with I&D and Finance stakeholders to scope detailed project requirements – translating business requirements into the clear and concise technical development specifications Managing and updating the project More ❯

leaders within its Private Wealth division. This role suits someone who wants to go beyond dashboard building and become a trusted analytics partner, shaping how data drives strategic decision making across the organisation. Key Responsibilities Act as the subject matter expert for data analytics and visualisation within the Private Wealth division. Partner with senior leadership and key stakeholders More ❯