1 to 25 of 144 Actionable Insight Jobs in the City of London

of the data strategy. Reporting to the Data Analytics Manager, the Data Analytics Lead will be a key role in the translation of data into meaningful and actionable insights. It is also their responsibility to provide value from the wealth of data available by understanding, not only the business, but also the technical aspects of the More ❯

environment. Key Responsibilities Develop, maintain, and optimise BI solutions using Databricks and other data tools. Collaborate with investment, risk, and operations teams to gather requirements and deliver actionable insights. Transform complex data sets into clear dashboards, visualisations, and reports for business stakeholders. Ensure data accuracy, governance, and security across reporting processes. Work with large datasets from More ❯

environment. Key Responsibilities Develop, maintain, and optimise BI solutions using Databricks and other data tools. Collaborate with investment, risk, and operations teams to gather requirements and deliver actionable insights. Transform complex data sets into clear dashboards, visualisations, and reports for business stakeholders. Ensure data accuracy, governance, and security across reporting processes. Work with large datasets from More ❯

deployment of advanced analytics, data science, and machine learning tools and solutions. Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data. Guide and mentor junior data scientists and analysts, fostering a culture of growth and technical excellence. Collaborate with cross-functional teams to identify business More ❯

deployment of advanced analytics, data science, and machine learning tools and solutions. Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data. Guide and mentor junior data scientists and analysts, fostering a culture of growth and technical excellence. Collaborate with cross-functional teams to identify business More ❯

serve its audience. The central Data & Analytics function is instrumental in this transformation, unifying multiple data sources into a single, accessible environment to deliver actionable insight across the business. Following a recent restructure, the data function is entering an exciting phase of growth and investment, focused on delivering a cutting-edge data platform and embedding … with commercial and digital ambitions. You’ll lead the continued development of a centralised GCP-based data platform, bringing together data from multiple business systems to enable real-time insight and data-driven decision-making. Key responsibilities include: Define and implement the data strategy, aligning it with wider commercial and customer objectives. Lead and evolve the centralised data platform … Act as the subject matter expert for data infrastructure, architecture, and tooling. Oversee data governance and compliance frameworks, ensuring best practice across all data activities. Lead on reporting and insight standardisation through tools such as Power BI and Omni, ensuring a consistent view of business performance. Drive predictive analytics and machine learning initiatives, including customer lifetime value and propensity More ❯

closely with sales leadership and cross-functional teams to improve forecasting, pipeline management, and overall sales effectiveness. Responsibilities: Data Analysis: Collect and analyze sales data to provide actionable insights, identify trends, and improve sales strategies. Reporting: Create and maintain reports and dashboards to track key sales metrics and performance indicators, ensuring leadership has clear visibility. Process More ❯

closely with sales leadership and cross-functional teams to improve forecasting, pipeline management, and overall sales effectiveness. Responsibilities: Data Analysis: Collect and analyze sales data to provide actionable insights, identify trends, and improve sales strategies. Reporting: Create and maintain reports and dashboards to track key sales metrics and performance indicators, ensuring leadership has clear visibility. Process More ❯

Data Analyst – Logistics & BI Support As a Data Analyst within the data team, your mission is to support logistics operations by turning business needs into actionable insights. Working closely with Qlik Developers , you ensure that dashboards are aligned with stakeholder goals and deliver accurate, impactful visualizations. You leverage Snowflake to extract, transform, and model relevant data More ❯

Data Analyst – Logistics & BI Support As a Data Analyst within the data team, your mission is to support logistics operations by turning business needs into actionable insights. Working closely with Qlik Developers , you ensure that dashboards are aligned with stakeholder goals and deliver accurate, impactful visualizations. You leverage Snowflake to extract, transform, and model relevant data More ❯

About the Role FULLY REMOTE - 6 Month FTC My client is looking for a Data Transformation Analyst who thrives on turning large, complex datasets into clear, actionable insights. This role is focused on building robust data models and delivering high-quality reporting solutions using Power BI and Excel . If you’re passionate about data modelling More ❯

making. Key Responsibilities Lead and implement data migration into Microsoft Fabric for analytics and reporting use cases Design and build data models from multiple sources to generate actionable insights Maintain and optimise data warehouse platforms; identify and resolve issues Develop data pipelines using Fabric Pipelines, Azure Data Factory, Notebooks and SSIS Produce enterprise-grade Power BI More ❯

making. Key Responsibilities Lead and implement data migration into Microsoft Fabric for analytics and reporting use cases Design and build data models from multiple sources to generate actionable insights Maintain and optimise data warehouse platforms; identify and resolve issues Develop data pipelines using Fabric Pipelines, Azure Data Factory, Notebooks and SSIS Produce enterprise-grade Power BI More ❯

join our hybrid-working team in London. You’ll collaborate with talented engineers and data scientists to build and deploy intelligent systems that transform unstructured data into actionable insight. You’ll be joining a fast-growing AI company developing automation solutions that extract meaning from emails, documents, and other unstructured communications — turning them into structured data More ❯

join our hybrid-working team in London. You’ll collaborate with talented engineers and data scientists to build and deploy intelligent systems that transform unstructured data into actionable insight. You’ll be joining a fast-growing AI company developing automation solutions that extract meaning from emails, documents, and other unstructured communications — turning them into structured data More ❯

impact measurement. Automate modelling pipelines to streamline marketing analytics processes. Work hands-on with complex, incomplete datasets and build customer lifecycle and LTV models. Translate insights into actionable recommendations for marketing strategy and performance optimisation. Collaborate with internal stakeholders and third-party clients (e.g., VS, JoJo, Zalando) to align analytics efforts. Required Skills & Experience More ❯

with Transformation/Change projects. What You'll Be Doing Leading business analysis activity across complex programmes and projects. Supporting the development of clear business cases and actionable insights. Helping to establish stronger data governance and reporting practices. Turning complex financial and operational data into visual, accessible insights for both technical and non-technical audiences. Working More ❯

the business forward, working on areas such as: Forecasting and time series analysis to support demand and operational planning Dynamic pricing and revenue optimisation Translating data into actionable insights that influence strategy and commercial outcomes Collaborating with stakeholders across teams to embed data-driven decision-making This is a hands-on role offering real ownership and More ❯

solve real-world problems Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and AI techniques to generate actionable insights Contributing to experimental research, model prototyping, and A/B testing Presenting findings clearly to both technical and non-technical stakeholders Collaborating across data science, engineering, and More ❯

solve real-world problems Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and AI techniques to generate actionable insights Contributing to experimental research, model prototyping, and A/B testing Presenting findings clearly to both technical and non-technical stakeholders Collaborating across data science, engineering, and More ❯

Qlik Sense BI Developer – As a BI Developer specializing in Qlik Sense, you will design, develop, and maintain data visualization solutions that transform raw data into actionable insights. Your work enables business stakeholders to make informed decisions through intuitive dashboards and reports that reflect key performance metrics. Key Responsibilities: Requirement Gathering: Collaborate with business and data More ❯

Qlik Sense BI Developer – As a BI Developer specializing in Qlik Sense, you will design, develop, and maintain data visualization solutions that transform raw data into actionable insights. Your work enables business stakeholders to make informed decisions through intuitive dashboards and reports that reflect key performance metrics. Key Responsibilities: Requirement Gathering: Collaborate with business and data More ❯

for prospecting. Main Responsibilities Lead data analysis initiatives across the subscriber lifecycle, from acquisition to retention and lifetime value. Define and maintain reports to track KPIs, providing actionable insights to stakeholders across the business. Develop, improve, and maintain customer segmentation models to provide deep insights into the subscription base and inform Product/Marketing strategies. Utilise … 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 and give insights to the newsroom More ❯

for prospecting. Main Responsibilities Lead data analysis initiatives across the subscriber lifecycle, from acquisition to retention and lifetime value. Define and maintain reports to track KPIs, providing actionable insights to stakeholders across the business. Develop, improve, and maintain customer segmentation models to provide deep insights into the subscription base and inform Product/Marketing strategies. Utilise … 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 and give insights to the newsroom More ❯

Key Responsibilities: Partner with business leads to analyse performance and identify growth opportunities Build and maintain dashboards and BI tools (Power BI, with DOMO being introduced) Deliver actionable insights on product, pricing, and market trends Automate reporting and upskill stakeholders to use self-service analytics tools Support forecasting, budgeting, and strategic planning through data-led insights More ❯