9 of 9 Permanent Analytics Jobs in Cambridge

Bachelor's degree Knowledge of MS office. Experience working on root cause analysis, corrective and preventive actions for solving customer problems and prevention of defects. PREFERRED QUALIFICATIONS Knowledge of analytics & statistical tools such as SAS, PowerBI, SQL & ETL DW concepts Knowledge of visualization tools such as Tableau, Datazen, SSRS Experience back office operations, escalation management and troubleshooting environments Experience working More ❯

unstructured data in the past to gain effective insights. - Solid grounding in statistics, probability theory, data modelling, machine learning algorithms and software development techniques and languages used to implement analytics solutions PREFERRED QUALIFICATIONS - History of successful technical consulting and/or architecture engagements with large-scale customers or enterprises. Experience migrating or transforming legacy customer solutions to the cloud. Familiarity More ❯

average salaries in the sector for lower-level positions and fully trained Data Analysts: Junior Data Analyst - £30,000 Data Analyst - £50,000 Business Data Analyst - £67,500 Data Analytics Analyst - £80,000 Business Analysts - £60,000 Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless More ❯

and business objectives. You will guide and develop a high-performing team, driven with context of emerging threats and strategic objectives. Ensure Threat Intelligence, Proactive Security Testing and Security Analytics functions develop under your leadership to deliver maximum context into the operational team, as well as enabling real time risk validation and actionable security insights. Continue delivering automation and detection More ❯

teams A user-centric mindset with a focus on measurable outcomes Desirable: Experience with legal tech platforms (PMS, DMS, workflow automation) Knowledge of Microsoft Fabric, BI tools, and data analytics Familiarity with microservices, API management, and platform engineering Relevant certifications (e.g. TOGAF, Azure Solutions Architect) Benefits include: 25-30 days holiday + bank holidays Private healthcare (BUPA) Profit share and More ❯

savvy – able to lead messaging, oversee content and own agency relationships International outlook and understanding of global Business to Government marketing landscapes Hands-on with digital, CRM, campaign management, analytics, and performance tracking Why Join the business? Established, profitable business with circa: 300 employees World-class, mission-critical product portfolio Trusted by governments and critical services globally Significant runway for More ❯

responsibilities Our engineers collaborate across diverse teams, projects, and environments to have a firsthand impact on our global customer base. You'll bring a passion for innovation, data, search, analytics, and distributed systems. You'll also: Solve challenging technical problems, often ones not solved before, at every layer of the stack. Design, implement, test, deploy and maintain innovative software solutions More ❯

driven applications. You will focus on creating high-performance APIs, architecting scalable data management tooling, and ensuring the reliability of services that integrate advanced AI frameworks with complex scientific analytics and laboratory workflows. You'll work closely with ML researchers, platform engineers, and scientists to develop systems that can handle diverse workloads and scale seamlessly, including structured SQL database, data … Mentorship: Experience guiding peers in backend best practices, performance optimization, and system design. Orchestration Systems: Experience with orchestration tools (Flyte, Kubeflow, Airflow, Prefect, Dagster). Domain Background: Exposure to analytics for life sciences, material sciences, or related fields. We're All In Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual More ❯

of large customer data sets Deploying and maintaining of statistical models and algorithms Testing analytical models and their integration within the Featurespace platforms Ensuring high quality documentation exists alongside analytics products (reports, presentations, visualizations) Measuring, documenting, and improving outcomes associated with analytic products Supporting the delivery teams delivering analytic products Enabling both technical and non-technical colleagues by effectively communicating … office 3 days a week. Qualifications Good degree in a scientific or numerate discipline, e.g. Computer Science, Physics, Mathematics, Engineering or equivalent work experience Experience implementing statistical models and analytics algorithms in software Experience using Python, Java, or another major programming language for data analysis, machine learning or algorithm development Technical and analytical skills with the ability to pick up More ❯