1 to 25 of 7,603 Permanent Analytics Jobs

Join Our Team as an Analytics Engineer! Are you passionate about turning complex data into actionable insights? Do you thrive on solving problems and enabling data-driven decision-making in the dynamic world of payments? If so, we want to hear from you! As anAnalytics Engineerspecializing in the payments space, you'll be at the forefront of analysing payment transaction … trends and contribute to process enhancements. Qualifications Bachelor's degree in Data Science, Computer Science, Information Systems, Finance, or a related field. Proven experience as a Data Analyst/Analytics Engineer role, preferably in the payments industry with issuer processors. Proven experience in SQL,DBT and Snowflake. Proficiency in building and managing data transformations with dbt, with experience in optimizing More ❯

believe that data tells a story - and we're looking for a Senior Data Analyst who can help us read between the lines. If you're passionate about using analytics to solve complex challenges, improve performance, and support mission-critical decisions, we want to hear from you. As a Senior Data Analyst, you won't just crunch numbers - you'll … key operational metrics, such as inventory trends and resource allocation, and develop models to improve forecasting and efficiency. • Serve as a subject matter expert, offering insight and leadership on analytics best practices, emerging tools, and industry trends. This role offers the opportunity to lead and influence - not just analyze. You'll be embedded in the decision-making process, making your … expertise central to both internal initiatives and customer-facing solutions. Requirements: • Bachelor's degree in Data Science, Statistics, Computer Science, Information Systems, Business Analytics, or a related field. • 5 years of experience in data analysis, business intelligence, or related analytical roles. • Proven experience extracting, cleaning, and validating large data sets from multiple sources for analysis. • Strong proficiency in analytical tools More ❯

leverage data for business growth and decision-making, including identifying new data opportunities. Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they … Transform, Load) processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. More ❯

leverage data for business growth and decision-making, including identifying new data opportunities. Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they … Transform, Load) processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. More ❯

leverage data for business growth and decision-making, including identifying new data opportunities. Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they … Transform, Load) processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. More ❯

leverage data for business growth and decision-making, including identifying new data opportunities. Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they … Transform, Load) processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. More ❯

leverage data for business growth and decision-making, including identifying new data opportunities. Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they … Transform, Load) processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. More ❯

leverage data for business growth and decision-making, including identifying new data opportunities. Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they … Transform, Load) processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. More ❯

leverage data for business growth and decision-making, including identifying new data opportunities. Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they … Transform, Load) processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. More ❯

leverage data for business growth and decision-making, including identifying new data opportunities. Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they … Transform, Load) processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. More ❯

leverage data for business growth and decision-making, including identifying new data opportunities. Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they … Transform, Load) processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. More ❯

data modeling techniques for large-scale data management. Demonstrated ability to write clean, efficient code in Python and SQL, with proven experience in building and optimizing data pipelines or analytics solutions. Strong background in Agile project delivery, including sprint planning, task tracking, and collaboration using Jira (or similar agile tool), ensuring timely and high-quality deliverables. Experience with cloud platforms … Familiarity with Apache Spark or comparable distributed data processing frameworks, preferably for large-scale data transformations and analytics. Working knowledge of data governance platforms (e.g., Collibra) and cloud-based analytics solutions (e.g., Databricks). Hands-on experience with modern BI tools (e.g., Qlik, Power BI, Tableau) for data visualization and insight generation. Awareness of data access control best practices (e.g. More ❯

Principal Data Analytics Engineer page is loaded Principal Data Analytics Engineer Apply locations London, UK time type Full time posted on Posted 2 Days Ago time left to apply End Date: July 21, 2025 (11 days left to apply) job requisition id R Job Description Summary Job Description Principal Data Analytics Engineer Permanent Location: London (We believe in the power … how we work, incrementally improving our data architecture, strengthening our engineering practices, expanding our capabilities, and driving innovation across the business. We are currently hiring for a Principal Data Analytics Engineer to join our team in London. In this role, you will lead our data analytics, visualisation, business intelligence, and AI initiatives. You'll collaborate with data engineers, analysts, product … managers, and stakeholders to deliver innovative, self-service data solutions that drive strategic decision-making. Key Responsibilities: Leadership & Mentoring: Guide a team of data analytics and business intelligence engineers, fostering a culture of continuous learning through mentoring, code reviews, and structured development. Own the team's capabilities and outputs. Data Analytics and Visualisation: Leveraging BI tools such as Tableau, Power More ❯

Join to apply for the Data and Analytics Director role at GSK Join to apply for the Data and Analytics Director role at GSK Get AI-powered advice on this job and more exclusive features. Site Name: UK – London – New Oxford Street Posted Date: Jul 8 2025 Are you ready to lead the charge in transforming data into actionable insights … that drive impactful decisions? ViiV Healthcare, a global company 100% focused on HIV, is seeking a visionary Data & Analytics Director to shape the future of healthcare innovation. Join us in our mission to leave no person living with HIV behind, as we push boundaries to deliver breakthroughs that truly matter. Job Purpose As the Data and Analytics Director, you will … the most exciting spaces in healthcare. Key Responsibilities: Data Strategy & Governance: Ensure compliance with global data governance policies, maintain robust data infrastructure, and drive data quality, consistency, and security. Analytics & Insights: Implement advanced analytics solutions, analyze complex datasets, and generate actionable insights to support strategic decision-making and business growth. Business Intelligence: Optimize BI tools to provide real-time data More ❯

GSEC, GICSP, CND, CySA+, Security+ CE, SSCP or CCNA-Security). Ability to write code in either Python or SQL, with knowledge in building and optimizing data pipelines or analytics solutions. Familiarity with popular relational databases (e.g., MySQL, PostgreSQL, SQL Server) Basic understanding of ETL processes and tools (e.g., Talend, Informatica, or similar) Exposure to cloud-based data services (e.g. … Familiarity with Apache Spark or comparable distributed data processing frameworks, preferably for large-scale data transformations and analytics. Working knowledge of data governance platforms (e.g., Collibra) and cloud-based analytics solutions (e.g., Databricks). Hands-on experience with modern BI tools (e.g., Qlik, Power BI, Tableau) for data visualization and insight generation. Awareness of data access control best practices (e.g. More ❯

Job Description Job Title: Data Architect Location: London - 3 days travel to office SC Cleared: Required Job Type: Full-Time Experience: 10+ years Job Summary : We are seeking a highly experienced and visionary Data Architect to lead the design and More ❯

Senior Analytics Engineer Location: London, Hybrid (minimum 2 days per week in office) Type: Full-Time, Permanent Reports to: Engineering Manager/Lead Data Engineer Salary: £55,000-£70,000 per annum Due to the nature of our work, candidates must be eligible for Security Clearance. Join Our Mission At QuantSpark, we're transforming how data and AI serve society. … Our team partners with forward-thinking organisations across multiple sectors to harness the power of analytics and artificial intelligence-creating meaningful impact that extends far beyond financial outcomes. Our impressive client portfolio : Private Equity & Financial Services : We work with top-tier investment firms, global financial institutions, and leading wealth management companies, providing portfolio performance analytics, AI-powered value creation, and … SaaS, Manufacturing & More : From innovative SaaS providers to global manufacturing leaders, our cross-industry expertise ensures we bring diverse perspectives to complex challenges. We're seeking an experienced Senior Analytics Engineer who's passionate about turning complex data into actionable insights that drive remarkable results for our clients. Why You'll Love QuantSpark Work That Matters: Lead high-impact analytics More ❯

edge data technologies & solutions, establish 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 drive the long-term … and API frameworks. Optimize workflows 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 security teams to implement secure … in data platforms, AI/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 data for decision-making. What More ❯

ready to lead the charge in transforming data into actionable insights that drive impactful decisions? ViiV Healthcare, a global company 100% focused on HIV, is seeking a visionary Data & Analytics Director to shape the future of healthcare innovation. Join us in our mission to leave no person living with HIV behind, as we push boundaries to deliver breakthroughs that truly … matter. Job Purpose As the Data and Analytics Director, you will play a pivotal role in shaping the future of our regional business by driving the integration of local insights into the Global pipeline strategy. Your leadership will ensure that the Global strategy not only aligns with the overarching enterprise vision but is also tailored for success within the unique … the most exciting spaces in healthcare. Key Responsibilities: Data Strategy & Governance : Ensure compliance with global data governance policies, maintain robust data infrastructure, and drive data quality, consistency, and security. Analytics & Insights : Implement advanced analytics solutions, analyze complex datasets, and generate actionable insights to support strategic decision-making and business growth. Business Intelligence : Optimize BI tools to provide real-time data More ❯

Head of Data & Analytics Architecture and AI page is loaded Head of Data & Analytics Architecture and AI Apply locations Chiswick Park time type Full time posted on Posted 30+ Days Ago job requisition id JR19765 Want to help us bring happiness to the world? Want to join an ambitious and fast growing global biscuits and confectionery business investing heavily in … offers global ambition, a clear Vision and roadmap for success, challenge, and unrivalled opportunities to learn and make an impact Click "Apply" to get started. The Head of Data & Analytics Architecture and AI mission has three facets. 1) To own the D&A Architecture ensuring alignment with business objectives and the technology transformation agenda for D&A to provide enabling … Digital services such as Data as a Service via APIs and Insights as a Service 2) To own and deliver the technology capability for Data, Analytics and AI (D&A). Working closely with the Squads on a daily basis, the Lead Engineer will help the squads deliver maximum outputs for each sprint ensuring each sprint delivers the longer term More ❯

Ready to make an impact with data? Join Thames Water as a Data Analyst in our Credit Risk Analytics team and help shape smarter, faster decisions that drive real results. What you'll be doing as a Data Analyst You'll turn complex data into clear, actionable insights, helping to strengthen credit risk strategies and improve how we manage and … Swindon-based, with one office day every Tuesday What you should bring to the role As a Data Analyst, you will: At least 3 years' experience in a data analytics role, turning data into real-world results and driving smarter business decisions Strong SQL skills - confident in writing efficient queries and building clear, reliable reports Great with Excel and other More ❯

to write simple queries and create basic data structures. Demonstrated ability to write clean, efficient code in Python and SQL with knowledge on building and optimizing data pipelines or analytics solutions. Foundational understanding of data pipelines and ETL/ELT processes, including data ingestion and transformation concepts. Basic knowledge of CI/CD tools (e.g., Jenkins, GitLab CI) with a … Familiarity with Apache Spark or comparable distributed data processing frameworks, preferably for large-scale data transformations and analytics. Working knowledge of data governance platforms (e.g., Collibra) and cloud-based analytics solutions (e.g., Databricks). Hands-on experience with modern BI tools (e.g., Qlik, Power BI, Tableau) for data visualization and insight generation. Awareness of data access control best practices (e.g. More ❯

experience in big data systems including Hadoop, Spark, Scala Data visualization skills in Tableau, Power BI, D3, ArcGIS, or similar Experience with Git, Bash, Unix commands Experience in Cloud analytics (AWS, Azure, or GCP) with tools such as AWS SageMaker, Azure HDInsight, etc. Familiarity with Flask is a plus Knowledge of DBOps and MLOps framework is a plus Experience with More ❯

Polygraph Employee Type: Regular Percentage of Travel Required: None Type of Travel: The Opportunity: We are seeking a skilled and motivated Sr. Data Scientist to join our dynamic Data & Analytics team. The ideal candidate will have a strong background in statistics, machine learning, and data mining, with the ability to visualize and communicate complex data in a clear and compelling More ❯

strategy, and roadmap for our CDP and SCV, aligning with overall business objectives and stakeholder needs. Requirements Gathering: Proactively gather, analyze, and prioritize requirements from internal stakeholders (marketing, product, analytics, etc.) for data integration, access, and utilization. Data Source Integration: Oversee the integration of various data sources into the CDP, ensuring data quality, consistency, and completeness. This includes working with More ❯