reports, identifying trends, and delivering actionable insights that drive business decisions across the revenue funnel. You'll help us understand key business trends, uncover inefficiencies, and support smarter decision-making - with your experience in analytics, SaaS metrics, and financial forecasting. Responsibilities: Data Analysis & Insight Assist with analysing business and financial data to identify trends, risks, and opportunities Support More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Randstad Technologies
Extensive experience in delivering data programmes within the Insurance or Reinsurance sector Strong leadership and organisational skills with the ability to manage multiple priorities Excellent problem-solving and decision-making capabilities Effective communicator with proven stakeholder engagement experience Business acumen with a deep understanding of insurance data and systems Randstad Technologies Ltd is a leading specialist recruitment business More ❯
migrations, ensuring smooth execution and minimal business disruption. Process Improvement & Automation: Strong analytical mindset to identify inefficiencies, automate workflows, and enhance security controls. Soft Skills & Mindset: Problem-Solving & Decision-Making: Capable of making informed decisions and resolving complex IT issues in a fast-paced environment. Stakeholder Engagement: Ability to communicate effectively with technical and non-technical stakeholders More ❯
stakeholders across Finance, IT, and Operations. Ensure high standards of software design, development, testing, and deployment with a strong focus on security, resilience, and supportability. Contribute to technical decision-making, architecture discussions, and implementation plans. Drive continuous improvement in engineering practices and processes, including DevOps, agile delivery, and release management. Key Skills & Experience We are looking for a More ❯
for cross-functional teams, effectively communicating project status, risks, and achievements. Skills & Qualifications Ability to lead Engineering teams that deliver high impact. Excellent problem-solving, critical thinking, and decision-making abilities. Solid track record of delivering scalable products in partnership with Engineering and Product leadership. Hands-on experience with agile methodologies and project management tools. Experience developing and More ❯
for cross-functional teams, effectively communicating project status, risks, and achievements. Skills & Qualifications Ability to lead Engineering teams that deliver high impact. Excellent problem-solving, critical thinking, and decision-making abilities. Solid track record of delivering scalable products in partnership with Engineering and Product leadership. Hands-on experience with agile methodologies and project management tools. Experience developing and More ❯
to predict outcomes, related to pension schemes, such as life expectancy, default risk, or investment returns. Identify appropriate machine learning algorithms and apply them to enhance predictions, automate decision-making processes, and improve client offerings. Responsible for designing, deploying, maintaining and refining statistical and machine learning models using Azure ML. Optimize model performance and computational efficiency. Ensure that More ❯
migrations, ensuring smooth execution and minimal business disruption. Process Improvement & Automation: Strong analytical mindset to identify inefficiencies, automate workflows, and enhance security controls. Soft Skills & Mindset: Problem-Solving & Decision-Making: Capable of making informed decisions and resolving complex IT issues in a fast-paced environment. Stakeholder Engagement: Ability to communicate effectively with technical and non-technical stakeholders More ❯
you'll be responsible for our data platform. You'll define our data strategy, drive the evolution of our data infrastructure, and ensure our data systems enable impactful decision-making across the business. The Projects You'll identify and lead a range of strategic data engineering projects, driving improvements across our data systems, platforms, and infrastructure to support More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
IPS Group
enhance core data flows that underpin critical business applications.You’ll play a central role in maintaining data quality, integrating systems, and ensuring data is accessible for analytics and decision-making across the business. The role involves close collaboration with stakeholders and offers the chance to contribute to both operational processes and strategic projects. Key Responsibilities: Take ownership of More ❯
to predict outcomes, related to pension schemes, such as life expectancy, default risk, or investment returns. Identify appropriate machine learning algorithms and apply them to enhance predictions, automate decision-making processes, and improve client offerings. Responsible for designing, deploying, maintaining and refining statistical and machine learning models using Azure ML. Optimize model performance and computational efficiency. Ensure that More ❯
to predict outcomes, related to pension schemes, such as life expectancy, default risk, or investment returns. Identify appropriate machine learning algorithms and apply them to enhance predictions, automate decision-making processes, and improve client offerings. Responsible for designing, deploying, maintaining and refining statistical and machine learning models using Azure ML. Optimize model performance and computational efficiency. Ensure that More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Enterprise Mobility
and refinement of new product concepts into product specifications or user stories, including acceptance criteria or backlog items though interpretation of data and provide actionable insights to inform decision-making Ensure alignment of new product concepts with strategic goals and market demands and use product intuition and design sense to help shape decisions around product concepts Provide insights More ❯
ll Bring: End-to-End Product Lifecycle Management: Extensive experience in managing the entire product lifecycle, from ideation and discovery through to launch and continuous improvement. Data-Driven Decision-Making: Expertise in using data analytics to inform product decisions, optimize user journeys, and measure success. Experience with User-Centric Design: Proven ability to translate user needs into product More ❯
monthly basis and work to reduce it. Present regular reports to senior management, highlighting key trends, insights, and recommendations for reducing churn. Use data-driven insights to inform decision-making and enhance retention strategies. Tool & Technology Optimization: Oversee the selection, implementation, and optimization of tools and technologies that support churn management and operations. Ensure that tools are integrated More ❯
that blend human expertise and AI agents to handle manual customer and marketplace operations tasks. Our unique approach combines the strengths of human expertise (high accuracy and nuanced decision-making) with the advantages of AI automation (speed and cost efficiency). This cutting-edge technology helps businesses solve real-world challenges in trust & safety and beyond without complex More ❯
environment Strong SQL and HTML experience Advanced MS Excel skills: ability to draw insights from large datasets, use of pivot tables, formulas, etc. Ability to use independent judgement, decision-making, and unique approaches to routinely troubleshoot problems related to AdTech and user experience issues Effective time management skills - ability to prioritize, meet deadlines and manage multiple issues under More ❯
KPIs, and provide actionable insights to stakeholders. • Partner with cross-functional teams to identify operational challenges, conduct deep-dive analyses, and deliver data-driven recommendations that support strategic decision-making and network improvements. • Create What if Scenarios on forecasting simulations and cost analysis BASIC QUALIFICATIONS - Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc. - Experience with More ❯
for a hands-on Analytics Engineer to turn data into Simmer's growth engine. As our hands-on Analytics Engineer, you'll bring structure, clarity and confidence to decision-making, building the modern data stack that powers scale. You'll lead our transition from an existing Azure SQL setup to a more scalable, robust architecture, designing pipelines, shaping More ❯
on quality by implementing operational changes matching the everchanging regulatory space. The team designs global, consistent, and scalable solutions and prioritize a blend between technology-driven and human decision-making processes. GSRC believes that innovation thrives on diversity, fostering an inclusive and equitable culture that empowers employees with opportunities for learning and development. Key job responsibilities As a More ❯
KPIs, and provide actionable insights to stakeholders. • Partner with cross-functional teams to identify operational challenges, conduct deep-dive analyses, and deliver data-driven recommendations that support strategic decision-making and network improvements. BASIC QUALIFICATIONS - Experience with SQL - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience More ❯
provide solutions for oil & gas companies, particularly as they develop their power businesses, state power grid operators, hedge funds and investment management companies. Our software solutions support critical decision-making and help these regional and global leaders optimise their trading, power operations, and manage complex risks. Our technology facilitates increased automation and efficiency in the face of changing More ❯
ability to effectively collaborate with cross-functional teams and present complex technical concepts to non-technical stakeholders. Demonstrated leadership abilities, including the ability to mentor team members, facilitate decision-making, and drive consensus among diverse stakeholders. Experience with Agile methodologies and DevOps practices, including continuous integration, automated testing, and deployment pipelines. Strong problem-solving and analytical skills, with More ❯
d also like you to have: Strong organizational skills and attention to detail Analytical mindset with proficiency in Excel/Google Sheets and a passion for data-driven decision-making Proficiency with modern workplace tools such as Jira, Confluence, Notion, or similar Excellent written and verbal communication skills, with the ability to influence stakeholders at all levels Collaborative More ❯
extended periods (e.g., use of Epic, documentation, data analysis) Desirable Knowledge of digital health innovation, clinical pathway optimisation, or integrated care models Familiarity with using data to support decision-making and performance improvement Skills in user engagement, co-design methods, or human-centred design Competence with data tools or basic analytics (e.g., Excel, dashboards, clinical KPIs) Understanding of More ❯