51 to 75 of 1,296 Analytics Jobs in the South East

best practices in data platforms and governance, and provide technical leadership to multidisciplinary teams. You will work closely with stakeholders across business, IT, and analytics teams to align data architecture with organizational goals, enabling seamless data acquisition and advanced analytics capabilities. What will be your key responsibilities? Strategic Leadership: Develop … and pipelines to ensure efficient and secure data ingestion, processing, storage, and access. Foster a data-driven culture by ensuring architecture supports self-service analytics and business intelligence tools. Data Governance & Security: Establish and enforce robust data governance practices, ensuring compliance with regulatory requirements and company policies. Partner with IT … ML, and big data. Proactively evaluate and recommend new technologies that enhance data capabilities and drive business innovation. Cross-Functional Collaboration: Partner with IT, analytics, and business teams to identify data needs and translate them into actionable platform solutions. Advocate for data democratization by enabling access to clean, high-quality More ❯

best practices in data platforms and governance, and provide technical leadership to multidisciplinary teams. You will work closely with stakeholders across business, IT, and analytics teams to align data architecture with organizational goals, enabling seamless data acquisition and advanced analytics capabilities. What will be your key responsibilities? Strategic Leadership: Develop … and pipelines to ensure efficient and secure data ingestion, processing, storage, and access. Foster a data-driven culture by ensuring architecture supports self-service analytics and business intelligence tools. Data Governance & Security: Establish and enforce robust data governance practices, ensuring compliance with regulatory requirements and company policies. Partner with IT … ML, and big data. Proactively evaluate and recommend new technologies that enhance data capabilities and drive business innovation. Cross-Functional Collaboration: Partner with IT, analytics, and business teams to identify data needs and translate them into actionable platform solutions. Advocate for data democratization by enabling access to clean, high-quality More ❯

best practices in data platforms and governance, and provide technical leadership to multidisciplinary teams. You will work closely with stakeholders across business, IT, and analytics teams to align data architecture with organizational goals, enabling seamless data acquisition and advanced analytics capabilities. What will be your key responsibilities? Strategic Leadership: Develop … and pipelines to ensure efficient and secure data ingestion, processing, storage, and access. Foster a data-driven culture by ensuring architecture supports self-service analytics and business intelligence tools. Data Governance & Security: Establish and enforce robust data governance practices, ensuring compliance with regulatory requirements and company policies. Partner with IT … ML, and big data. Proactively evaluate and recommend new technologies that enhance data capabilities and drive business innovation. Cross-Functional Collaboration: Partner with IT, analytics, and business teams to identify data needs and translate them into actionable platform solutions. Advocate for data democratization by enabling access to clean, high-quality More ❯

analytical mindset with exceptional data visualization capabilities Proficiency in scripting/automation technologies Experience working within Agile methodologies Technology degree essential MSc in Data Analytics and security qualifications (ISACA, CISM, etc.) advantageous If you have the skills and experience we're looking for, please apply with your updated CV. More ❯

accuracy Provide guidance to junior team members Requirements: Bachelor’s degree in Data Science, Statistics, Math, or similar 2+ years in data science or analytics Experience building machine learning models and analyzing data Background in designing experiments or solving real-world problems with data Strong coding skills in Python or More ❯

high-impact projects. Create and implement AI-driven solutions that personalise customer experiences and maximise marketing performance. Use A/B testing and advanced analytics to assess the real-world impact of data-driven strategies. Present findings to technical and non-technical stakeholders, driving data-led decision-making. What We More ❯

Work in a dynamic, supportive, and growth-focused environment. Opportunity to develop strong business analytics and BI skills. About Our Client A leading financial services provider supporting the automotive industry, offering innovative financing, leasing, and insurance solutions. They focus on enhancing customer experiences through data-driven decision-making, business intelligence More ❯

Skills : Strong experience in data engineering. At least some commercial hands-on experience with Azure data services (e.g., Apache Spark, Azure Data Factory, Synapse Analytics). Proven experience in leading and managing a team of data engineers. Proficiency in programming languages such as PySpark, Python (with Pandas if no PySpark More ❯

or SaaS startups. Passionate about Generative AI and LLMs with a strong grasp of cutting-edge algorithms and technologies (e.g., NLP, computer vision, predictive analytics). Extensive experience with major cloud platforms (AWS, Google Cloud, Azure), microservices, containerization (Docker, Kubernetes), and DevOps/CI/CD pipelines. Skilled in Python More ❯

science team. Qualifications: Bachelor's degree in Data Science, Statistics, Mathematics, or a related field. 2+ years of experience in a data science or analytics role. Proficiency in Python or R, SQL, and data visualisation tools. Experience with machine learning models and statistical analysis. Preferred Skills: Familiarity with AWS and More ❯

science team. Qualifications: Bachelor's degree in Data Science, Statistics, Mathematics, or a related field. 2+ years of experience in a data science or analytics role. Proficiency in Python or R, SQL, and data visualisation tools. Experience with machine learning models and statistical analysis. Preferred Skills: Familiarity with AWS and More ❯

business opportunity to work on real-time/streaming projects. Responsibilities Manage ETL, build pipelines, and scale data infrastructure to support data science and analytics initiatives. Design, implement and improve tools and services for orchestration, observability, data governance and data quality to high engineering standards Deploy and manage products using More ❯

well-suited to a versatile individual who thrives in dynamic, fast-paced environments. The role involves contributing to the growth of the Data and Analytics function, collaborating with technical teams to enhance and streamline data reporting processes. Key responsibilities include handling, visualising, and interpreting data, with a strong focus on More ❯

alongside leadership in project delivery and resource planning. You’ll serve as a subject matter expert (SME) across multiple domains, bringing together data integration, analytics, reporting layers, and governance—while coordinating across DevOps, infrastructure, application support, and security teams to deliver robust, enterprise-grade solutions. Key Responsibilities Lead the design More ❯

will be entitled to our general gift/voucher scheme. Datatech is one of the UK’s leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website: www.datatech.org.uk More ❯

Technology, Engineering, STEAM degree or a related field is required. An advanced degree (Masters’ or Postgraduate) a plus b. Certifications in financial systems, data analytics, or project management (e.g., PMP, CFA, FRM) a huge plus Professional Experience:a. Experience in fund administration, private markets, or asset management firms b. 5+ More ❯

BI, Linux, Airflow. An appreciation of the main concepts of Data Science/Machine Learning would be useful. We use a range of predictive analytics and machine learning methodologies, including logistic regression and cluster analysis, plus some predictive time series analysis. More ❯

companies and asset management clients . It’s a unique opportunity to shape enterprise-level data platforms in environments where data governance, real-time analytics, and regulatory compliance are essential. The Role: We are seeking a Senior Data Architect to lead the design and delivery of robust, cloud-native data More ❯

information sources Producing reports on a regular basis to inform commercial decision-making and aid continuous improvement, in line with Clancy standards Using data analytics to perform detailed root cause analysis on trends and identify actions required by liaising with various functions across the business and interrogating information available on More ❯

Products, Engineering, Sales and other Professional Services colleagues around the world to continually redefine best practices Requirements Experience within a Fraud Strategy or Fraud Analytics function. Proficient in SQL (Python knowledge and BI tools like SuperSet, PowerBI, Tableau a bonus). Experience of working with fraud system management, such as More ❯

markets. Technical Proficiency: Strong programming knowledge in languages such as Python, Java, or C++. Experience with cloud platforms (e.g., AWS), database management, and data analytics tools. Familiarity with software development methodologies and best practices. Leadership & Communication: Demonstrated ability to lead and inspire technical teams. Excellent communication skills, with the ability More ❯

broad business audience, both internal and external · Educated on a variety of analytical methods, shapes thinking and influences decisions · Experience in Consumer/Marketing Analytics with the ability to apply knowledge of and passion for digital, social, mobile media, and other new platforms to provide insight and evaluation that helps More ❯

IT & Data Department play a crucial role in enabling the business to implement new strategies with a focus on continuous improvement, whether through data-analytics based reviews of existing processes or the provision of cutting-edge insights into how we can innovate on the delivery of key projects across multiple More ❯

ability to work with a diverse and global team Understanding of leading technologies platforms such as Salesforce, SAP, ServiceNow, and leading technologies in data analytics and AI Proficiency in project management methodologies and tools is crucial for overseeing the execution of digital initiatives, managing resources, and ensuring timely delivery of More ❯

About Reporting – It’s About Leading with Data Build and manage new data pipelines and dashboards from national systems like PND and APMIS Develop analytics that help answer urgent questions: Are interventions reducing harm? Where is exploitation spiking? Design and deliver new performance reports to support NCLCC strategy and Home More ❯