2,051 to 2,075 of 6,045 DemandTrendPermanent Analytics Jobs

in people's lives every day. How you'll help us make health happen: Manage data and tools for the monthly production process Design solutions for operational reporting and analytics Create datasets for analytics community Design testing solutions for enterprise projects Work with data from multiple systems for dataset creation Recommend improvements to optimize operations Maintain quality control processes Update More ❯

company Working for a social housing provider who is now going through a huge digital transformation in their data team. Your new role The Data Scientist will leverage data analytics to drive insights and improve the quality and efficiency of our housing services by cleaning and organising data. This role involves working closely with various stakeholders to extract, analyse, and … analyse data from internal systems (tenancy, maintenance, finance) and external sources (e.g. census, public datasets). Data Preparation Clean, structure, and validate data to ensure accuracy and usability. Predictive Analytics Build models to forecast housing demand, rent arrears, and maintenance needs. Visualisation & Reporting: Create dashboards and reports to communicate insights to non-technical stakeholders. Performance Evaluation Assess the impact of More ❯

have the drive to challenge boundaries. If you're smart and passionate about delivering brilliant customer experiences, we'd love to hear from you. This position provides insights and analytics that support the Customer Solutions Center's operating model. The Customer Solutions Center is the Sales and Service department at Simply Business. The CSC provides commercial insurance solutions to small … finance business partner to provide recommendations. Facilitate the preparation of regular CSC reporting, dashboards, and insights. Regular use of Looker, Amplitude and Zendesk. Proactively identify areas to improve CSC analytics and make adjustments to processes, leveraging innovative solutions as the business scales. Undertake and support ad-hoc strategic projects and analyses to support leadership decision-making and organizational priorities. What … you need to have: Bachelors degree. 5+ years of analytics experience, with a background in financial service, insurance or "tech companies". Possess strong contact center health/optimization expertise. Experience using new technological advancements such as AI to streamline current processes, garner valuable insights and drive business transformation. Ability to connect analytics work to priorities and business outcomes, provide More ❯

experiences. The Role They need a talented Data Engineer to join their rapidly expanding engineering team in Leeds. You'll be architecting robust data systems that power critical financial analytics, working with modern cloud technologies whilst tackling real-world challenges in the fast-paced fintech sector. This is an excellent opportunity for someone ready to make their mark in financial … a new role and are looking to join a business making real impact, APPLY NOW or email Data Engineer – Leeds – Hybrid - Azure As an industry leading, nationwide Marketing, Digital, Analytics, IT and Design recruitment agency, we are continually receiving new assignments to work on, so keep a close eye on our website, Facebook, LinkedIn and Twitter pages for a full More ❯

that partners directly with portfolio companies to drive measurable operational and financial performance—powered by data. They’re now hiring a Director of Data Science to lead high-impact analytics and machine learning projects across a wide variety of real-world domains. Working closely with a multidisciplinary team, you’ll have the autonomy to shape technical approaches while staying closely … just model accuracy. Requirements: Proven experience applying data science in commercial settings Proven ability to lead data science projects from concept to production Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative field (e.g., Mathematics, Physics, Engineering More ❯

that partners directly with portfolio companies to drive measurable operational and financial performance—powered by data. They’re now hiring a Director of Data Science to lead high-impact analytics and machine learning projects across a wide variety of real-world domains. Working closely with a multidisciplinary team, you’ll have the autonomy to shape technical approaches while staying closely … just model accuracy. Requirements: Proven experience applying data science in commercial settings Proven ability to lead data science projects from concept to production Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative field (e.g., Mathematics, Physics, Engineering More ❯

through Employment Contract. LOCATION Hybrid remote in London (or closely outside of London) - 2 days/week in the office. DUTIES AND RESPONSIBILITIES Be an expert in big data analytics to excite customers about the company's product. You will become a trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of their … and migrations; Involvement in application retirement projects, including data migration and decommissioning activities; Experience with data transformation techniques to support system migrations and data integration efforts; Preferablya background in Analytics/Data Science or Data Engineering); Proven pre-sales experience or equivalent customer-facing technical role (e.g., Solutions Engineer, Systems Architect, etc.); Hands-on expertise with complex proofs-of-concept More ❯

that partners directly with portfolio companies to drive measurable operational and financial performance—powered by data. They’re now hiring a Director of Data Science to lead high-impact analytics and machine learning projects across a wide variety of real-world domains. Working closely with a multidisciplinary team, you’ll have the autonomy to shape technical approaches while staying closely … just model accuracy. Requirements: Proven experience applying data science in commercial settings Proven ability to lead data science projects from concept to production Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative field (e.g., Mathematics, Physics, Engineering More ❯

Accountability for customer success across the organisation Customer Experience Drive continuous improvement in onboarding and adoption flows Create personalised customer communication strategies Develop sophisticated customer health tracking and predictive analytics Reduce time-to-value through intelligent product engagement Drive and oversee playbooks for account management and customer progression Serve as an executive sponsor for key accounts and manage complex customer … and present analytical reports to support business strategy Develop and maintain customer success tech stack Create efficient workflows and automation processes Implement customer relationship management best practices Utilise data analytics tools to derive customer insights and drive data driven decisions Manage and optimise key performance indicators: GRR and NRR Churn rate Customer Satisfaction (CSAT) Net Promoter Score (NPS) Adoption rates … develop a team of 6 direct reports Foster a culture of continuous learning and innovation with support for career progression Upskill team in digital customer success techniques and advanced analytics Cross-Functional Collaboration Align Customer Success initiatives with Product, Marketing, Sales, and Corporate functions Facilitate customer-centric product development Create unified approaches to customer success, resolve conflicts and lead cross More ❯

that partners directly with portfolio companies to drive measurable operational and financial performance—powered by data. They’re now hiring a Director of Data Science to lead high-impact analytics and machine learning projects across a wide variety of real-world domains. Working closely with a multidisciplinary team, you’ll have the autonomy to shape technical approaches while staying closely … just model accuracy. Requirements: Proven experience applying data science in commercial settings Proven ability to lead data science projects from concept to production Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative field (e.g., Mathematics, Physics, Engineering More ❯

that partners directly with portfolio companies to drive measurable operational and financial performance—powered by data. They’re now hiring a Director of Data Science to lead high-impact analytics and machine learning projects across a wide variety of real-world domains. Working closely with a multidisciplinary team, you’ll have the autonomy to shape technical approaches while staying closely … just model accuracy. Requirements: Proven experience applying data science in commercial settings Proven ability to lead data science projects from concept to production Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative field (e.g., Mathematics, Physics, Engineering More ❯

driven customer-facing products. At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets. Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high … systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most. We are looking for Senior NLP Engineers with a strong expertise and passion for … the quality of the data and derive actionable insights and analytics. Broad areas of applications and interest include: information extraction, entity recognition and disambiguation, topic classification, sentiment analysis, text analytics, summarization, event detection, conversation mining, dialogue systems, semantic parsing, question answering or sentence representations. You'll have the opportunity to: Collaborate with colleagues on production systems and write, test, and More ❯

Holistic Thinking: Consider components and systems while considering a holistic user experience. Rapid Problem-Solving: Quickly fix bugs and solve problems to enhance customer satisfaction. Data-Driven Development: Utilize analytics to inform product decisions and improve features. Continuous Improvement: Participate in code reviews and contribute to improving our development processes. Stay Current: Keep up-to-date with the latest industry … Holistic Thinking: Consider components and systems while considering a holistic user experience. Rapid Problem-Solving: Quickly fix bugs and solve problems to enhance customer satisfaction. Data-Driven Development: Utilize analytics to inform product decisions and improve features. Continuous Improvement: Participate in code reviews and contribute to improving our development processes. Stay Current: Keep up-to-date with the latest industry … search these words to find applicants that read this and see they're human. Job type: Remote job Tags software design frontend docker support code devops education cloud content analytics engineer backend fullstack digital nomad Sent 269 days ago Apply on external site Share on Facebook Share on Twitter Share on LinkedIn Share via Email Back to index More ❯

platform is intuitive, endlessly scalable, and approved by NHS Digital as a cloud storage solution. Over the next 12 months you will: Work closely with our tech teams on analytics and metrics for product decision-making, both in inputs to experiments or feature development and through monitoring uptake and benefit of changes Own our reporting workstreams and database health Understand … for every day users to monitor their activity, and to support buyers and key decision makers Actively input into company strategy and steer key decisions through product and user analytics Requirements Essential: 1 + year as a Data Analyst (or a similar role) Strong understanding of SQL and Bigquery, or similar relational database languages Strong analytical skills Experience working with … user and business outcomes Excellent communication and presentation skills Enthusiasm, passion, energy and the desire to make positive change Nice to have, but not essential: Working knowledge of Google Analytics Experience in python Experience in B2B analytics Benefits Work from home or at our office in Huckletree Shoreditch (Finsbury Square) Pet friendly office Flexible working times ️ 25 days annual leave More ❯

No.1-rated home insurer by Review Centre since 2013. At Policy Expert, data is at the heart of everything we do, and our ambition is clear: our data and analytics will enrich every customer experience, optimize every business decision, and empower every colleague. The Exec and Board have committed significant investment to establish and mature our data capabilities, underpinned by … a transformative Data Strategy built around three core pillars: Operating Model, Data & Analytics Platform, and Data Culture. We have five disciplines - Data Management, Engineering, Science, Analytics, and Visualisation - that collaborate with the rest of the business to drive incremental value through data, operational excellence, and business agility. About the Product Management team: Product Management is at the core of our … innovation and excellence across our insurance offerings. Led by our Chief Product Officer, who oversees our Heads of Product (Home, Motor, Pet, and Shared Services), Delivery Management, and Business Analytics, the team facilitates strategic prioritisation and translates executive decisions into actionable roadmaps and timely delivery. Our Product Management function combines deep business insights, user-centred design, and agile methods to More ❯

to lead the development of their in-house data science capabilities. This is a newly created role where you'll shape the future of how the team integrates advanced analytics, diverse datasets, and machine learning into high-impact client projects across sectors such as media, tech, and entertainment. You’ll be joining a collaborative, supportive environment with around 60 consultants … work across a mix of project delivery, innovation, and team development – helping shape everything from statistical capability to the company’s broader data vision. You’ll work on: Advanced analytics projects (segmentation, conjoint, MaxDiff, KDA, etc.) Processing large, complex datasets (e.g. transactional data, 1st-party data, behavioural) Developing infrastructure and tooling for scalable analysis Expanding the use of AI, synthetic More ❯

to lead the development of their in-house data science capabilities. This is a newly created role where you'll shape the future of how the team integrates advanced analytics, diverse datasets, and machine learning into high-impact client projects across sectors such as media, tech, and entertainment. You’ll be joining a collaborative, supportive environment with around 60 consultants … work across a mix of project delivery, innovation, and team development – helping shape everything from statistical capability to the company’s broader data vision. You’ll work on: Advanced analytics projects (segmentation, conjoint, MaxDiff, KDA, etc.) Processing large, complex datasets (e.g. transactional data, 1st-party data, behavioural) Developing infrastructure and tooling for scalable analysis Expanding the use of AI, synthetic More ❯

for the day-to-day administration, maintenance, and support of the Nexthink platform. This role plays a critical part in enhancing IT operations through proactive issue detection, user behavior analytics, and continuous improvement initiatives based on Nexthink insights. Key Responsibilities Administer and maintain the Nexthink platform including Collector deployment, Engine configuration, and Portal management Develop and deploy Nexthink campaigns, remote … e.g.,SCCM, Intune) DoD 8140 compliance, CompTIA Security + or higher Must have Active Secret Clearance Preferred Qualifications Nexthink Certified Associate or higher Experience integrating Nexthink with monitoring or analytics platforms (e.g., Splunk, Power BI) Familiarity with digital experience scoring, employee sentiment analysis, or self-healing automation Prior experience in large enterprise environments or regulated industries Oneida Technical Solutions is More ❯

be doing? As a Mid-Level Data Scientist, you will play a critical role within a multidisciplinary team of data scientists, analysts, and domain experts, developing advanced AI and analytics solutions for the Insurwave platform. This self-sufficient team is responsible for the entire delivery lifecycle—from design and development to testing, deployment, and ongoing support. You will work across … the full machine learning workflow, applying advanced analytics and ML techniques to extract structured insights from complex insurance submission documents, conduct exposure analytics, and model asset behaviour for the commercial insurance market. Responsibilities Design, build, and deploy machine learning models that meet defined performance and business requirements Develop production-ready data science solutions and maintain high-quality, testable code using More ❯

be doing? As a Mid-Level Data Scientist, you will play a critical role within a multidisciplinary team of data scientists, analysts, and domain experts, developing advanced AI and analytics solutions for the Insurwave platform. This self-sufficient team is responsible for the entire delivery lifecycle—from design and development to testing, deployment, and ongoing support. You will work across … the full machine learning workflow, applying advanced analytics and ML techniques to extract structured insights from complex insurance submission documents, conduct exposure analytics, and model asset behaviour for the commercial insurance market. Responsibilities Design, build, and deploy machine learning models that meet defined performance and business requirements Develop production-ready data science solutions and maintain high-quality, testable code using More ❯

to lead the development of their in-house data science capabilities. This is a newly created role where you'll shape the future of how the team integrates advanced analytics, diverse datasets, and machine learning into high-impact client projects across sectors such as media, tech, and entertainment. You’ll be joining a collaborative, supportive environment with around 60 consultants … work across a mix of project delivery, innovation, and team development – helping shape everything from statistical capability to the company’s broader data vision. You’ll work on: Advanced analytics projects (segmentation, conjoint, MaxDiff, KDA, etc.) Processing large, complex datasets (e.g. transactional data, 1st-party data, behavioural) Developing infrastructure and tooling for scalable analysis Expanding the use of AI, synthetic More ❯

to lead the development of their in-house data science capabilities. This is a newly created role where you'll shape the future of how the team integrates advanced analytics, diverse datasets, and machine learning into high-impact client projects across sectors such as media, tech, and entertainment. You’ll be joining a collaborative, supportive environment with around 60 consultants … work across a mix of project delivery, innovation, and team development – helping shape everything from statistical capability to the company’s broader data vision. You’ll work on: Advanced analytics projects (segmentation, conjoint, MaxDiff, KDA, etc.) Processing large, complex datasets (e.g. transactional data, 1st-party data, behavioural) Developing infrastructure and tooling for scalable analysis Expanding the use of AI, synthetic More ❯

to lead the development of their in-house data science capabilities. This is a newly created role where you'll shape the future of how the team integrates advanced analytics, diverse datasets, and machine learning into high-impact client projects across sectors such as media, tech, and entertainment. You’ll be joining a collaborative, supportive environment with around 60 consultants … work across a mix of project delivery, innovation, and team development – helping shape everything from statistical capability to the company’s broader data vision. You’ll work on: Advanced analytics projects (segmentation, conjoint, MaxDiff, KDA, etc.) Processing large, complex datasets (e.g. transactional data, 1st-party data, behavioural) Developing infrastructure and tooling for scalable analysis Expanding the use of AI, synthetic More ❯

the modern consumer. 🧑🏼 💻 The Web Analyst will join a collaborative insights team to own and expand the digital data infrastructure. You’ll lead on BigQuery development, support cross-brand analytics, and work closely with commercial teams to turn data into clear, compelling stories. This is a high-impact role with real ownership and visibility, ideal for someone who thrives at … ROAS, ROI, CAC, LTV) Experience building dashboards in tools like Power BI, Looker, or Excel Excellent communication skills — can explain technical work to non-technical stakeholders Background in digital analytics, with at least 2 years’ relevant experience 🖥️ Benefits: Staff discounts across household retail brands Annual bonus scheme and generous holiday Interest-free loans and financial wellbeing support High-impact L More ❯

the modern consumer. 🧑🏼 💻 The Web Analyst will join a collaborative insights team to own and expand the digital data infrastructure. You’ll lead on BigQuery development, support cross-brand analytics, and work closely with commercial teams to turn data into clear, compelling stories. This is a high-impact role with real ownership and visibility, ideal for someone who thrives at … ROAS, ROI, CAC, LTV) Experience building dashboards in tools like Power BI, Looker, or Excel Excellent communication skills — can explain technical work to non-technical stakeholders Background in digital analytics, with at least 2 years’ relevant experience 🖥️ Benefits: Staff discounts across household retail brands Annual bonus scheme and generous holiday Interest-free loans and financial wellbeing support High-impact L More ❯