51 to 75 of 6,742 Permanent Analytics Jobs

Data and Analytics Associate, Valuations Pantheon has been at the forefront of private markets investing for more than 40 years, earning a reputation for providing innovative solutions covering the full lifecycle of investments, from primary fund commitments to co-investments and secondary purchases, across private equity, real assets and private credit. We have partnered with more than 650 clients, including … specialized experience and global team of professionals across Europe, the Americas and Asia, we invest with purpose and lead with expertise to build secure financial futures. The Data and Analytics ( DnA ) team is a newly established function that integrates the Data Integrity and Portfolio Analytics teams. DnA plays a critical role in supporting key functions across the organization, including Investment … ecosystem, ensuring accurate ingestion and integrity of Pantheon's core data -including client, managed fund, deal, investment, and asset data. This disciplined approach to data stewardship powers actionable portfolio analytics that are essential to: Enhancing the investment decision-making process Improving transparency and engagement with clients Enabling data-driven portfolio and financial oversight By centralizing and reinforcing data governance and More ❯

Data and Analytics Associate, Transactions Management Pantheon has been at the forefront of private markets investing for more than 40 years, earning a reputation for providing innovative solutions covering the full lifecycle of investments, from primary fund commitments to co-investments and secondary purchases, across private equity, real assets and private credit. We have partnered with more than 650 clients … specialized experience and global team of professionals across Europe, the Americas and Asia, we invest with purpose and lead with expertise to build secure financial futures. The Data and Analytics (DnA) team is a newly established function that integrates the Data Integrity and Portfolio Analytics teams. DnA plays a critical role in supporting key functions across the organization, including Investment … ecosystem, ensuring accurate ingestion and integrity of Pantheon's core data -including client, managed fund, deal, investment, and asset data. This disciplined approach to data stewardship powers actionable portfolio analytics that are essential to: Enhancing the investment decision-making process Improving transparency and engagement with clients Enabling data-driven portfolio and financial oversight By centralizing and reinforcing data governance and More ❯

of a company that's empowering people to unlock their digital potential! To get a sneak peek into our culture, find us on Optimizely is seeking an experienced Sales Analytics Lead, to join our Data Services function. This role will be critical to helping optimize our decision-making abilities across the Sales Operations teams. This position will be responsible for … strategies. • Partner with, Marketing, Customer Success and Product teams to implement data-informed actions and measure impact. • Ensure data integrity, relevance, and timeliness by collaborating with data engineering and analytics teams to define and evolve measurement frameworks and KPIs. • Storytelling Requirements: Develop clear, compelling, and audience-appropriate narratives that explain the "why" behind Sales performance trends. • Translate technical data findings More ❯

a company that's empowering people to unlock their digital potential! To get a sneak peek into our culture, find us on Optimizely is seeking an experienced Customer Success Analytics Lead, to join our Data Services function. This role will be critical to helping optimize our decision-making abilities across our Customer Success teams. This position will be responsible for … optimization strategies. • Partner with, Sales, Marketing and Product teams to implement data-informed actions and measure impact. • Ensure data integrity, relevance, and timeliness by collaborating with data engineering and analytics teams to define and evolve measurement frameworks and KPIs. • Storytelling Requirements: Develop clear, compelling, and audience-appropriate narratives that explain the "why" behind Customer Success performance trends. • Translate technical data More ❯

central role in supporting long-term growth, performance, and value creation. About the Department The Business Intelligence team is a core function responsible for managing the entire reporting and analytics lifecycle-from requirements gathering and data extraction to visualisation, testing, and delivery. The team provides critical support across finance, treasury, risk, and strategic planning, while also managing enterprise BI tools … and platforms. With a focus on excellence, the team leverages analytics to support informed decision-making, operational efficiency, and long-term business value. Key Responsibilities Champion analytics and business intelligence initiatives across all departments, promoting a culture of data-led decision-making. Serve as a subject matter expert for the data platform and reporting tools, offering guidance to key stakeholders. … and manipulate data across large-scale database environments. Support transformation and change initiatives by providing insights and reporting capabilities that improve data integrity and performance. Lead delivery of advanced analytics and AI-driven projects aligned with business strategy. Analyse performance data to uncover trends, drive insights, and highlight strategic opportunities. Collaborate closely with stakeholders to define reporting requirements and ensure More ❯

Verisk Analytics is a multinational data and analytics risk assessment company and a leading source of information about insurance risk. To serve our clients, we draw upon our vast experience in data management and predictive modelling to offer decision analytics to the insurance industry through underwriting to claims management in personal lines, commercial lines, and the London market. In underwriting … property attributes, business activities and financial data, insurance claims and policies, medical information, aerial imagery and geodemographic data. In claims solutions we support end-to-end claims handling with analytics and automation tools that streamline workflow, improve claims management and support better customer experiences. We also provide a fraud detection service across multiple perils and lines of business. Using intel … Role Purpose Verisk are looking for a Data Scientist to support the development of various data science models to support the development of our risk management products. The International Analytics Team is a dynamic and exciting place to work: our projects are extremely varied and include developing supervised machine learning models, unsupervisedclustering type models, language modelling, network analysis and a More ❯

this programme, you'll help clients navigate their digital transformation journeys, leveraging the latest tools, technologies, and methodologies to solve complex business problems. Whether you're interested in data analytics, technology consulting, or risk management, this programme will give you exposure to a variety of industries and services. You'll collaborate with PwC's global network of experts to deliver … of target companies. Provide insights to help clients make informed decisions on acquisitions, mergers, and other business transactions, using technology to gain a competitive edge. Risk and Technology (Data Analytics): Develop data-driven solutions to help clients manage regulatory compliance, cybersecurity, and operational risks. Use advanced analytics, data visualisation, and machine learning techniques to provide clients with valuable insights that … work towards acquiring certifications in cutting-edge technologies, such as AWS (Amazon Web Services), Microsoft Azure, or Google Cloud. You will also receive comprehensive training in areas like data analytics, cybersecurity, cloud computing, and business intelligence tools. These will be supported by practical, on-the-job learning and ongoing mentoring from experienced professionals at PwC. Additionally, you'll have the More ❯

this programme, you'll help clients navigate their digital transformation journeys, leveraging the latest tools, technologies, and methodologies to solve complex business problems. Whether you're interested in data analytics, technology consulting, or risk management, this programme will give you exposure to a variety of industries and services. You'll collaborate with PwC's global network of experts to deliver … of target companies. Provide insights to help clients make informed decisions on acquisitions, mergers, and other business transactions, using technology to gain a competitive edge. Risk and Technology (Data Analytics): Develop data-driven solutions to help clients manage regulatory compliance, cybersecurity, and operational risks. Use advanced analytics, data visualisation, and machine learning techniques to provide clients with valuable insights that … work towards acquiring certifications in cutting-edge technologies, such as AWS (Amazon Web Services), Microsoft Azure, or Google Cloud. You will also receive comprehensive training in areas like data analytics, cybersecurity, cloud computing, and business intelligence tools. These will be supported by practical, on-the-job learning and ongoing mentoring from experienced professionals at PwC. Additionally, you'll have the More ❯

this programme, you'll help clients navigate their digital transformation journeys, leveraging the latest tools, technologies, and methodologies to solve complex business problems. Whether you're interested in data analytics, technology consulting, or risk management, this programme will give you exposure to a variety of industries and services. You'll collaborate with PwC's global network of experts to deliver … of target companies. Provide insights to help clients make informed decisions on acquisitions, mergers, and other business transactions, using technology to gain a competitive edge. Risk and Technology (Data Analytics): Develop data-driven solutions to help clients manage regulatory compliance, cybersecurity, and operational risks. Use advanced analytics, data visualisation, and machine learning techniques to provide clients with valuable insights that … work towards acquiring certifications in cutting-edge technologies, such as AWS (Amazon Web Services), Microsoft Azure, or Google Cloud. You will also receive comprehensive training in areas like data analytics, cybersecurity, cloud computing, and business intelligence tools. These will be supported by practical, on-the-job learning and ongoing mentoring from experienced professionals at PwC. Additionally, you'll have the More ❯

practices in data governance and security, and ensuring the scalability and performance of data solutions. You will play a critical role in understanding the business context of data, supporting analytics and decision-making by collaborating with data scientists, analysts, and other key stakeholders This position requires client presence between 25%-50% of the time per month at the client's … upstream teams to align data ingestion strategiesand optimize data handoffs. Collaboration & Stakeholder Management Partner with data scientists, analysts, and business teams to providetrusted, accurate, and well-structured data for analytics and reporting. Communicate complex data concepts in a clear and actionable mannerto non-technical stakeholders. Develop and maintain documentation to ensure knowledge sharing andcontinuity Infrastructure & Security Management Maintain and support … Tableau or Power BI for data visualization. Understanding of machine learning pipelines and how they integrate with data engineering processes. Certification in cloud data engineering (e.g., AWS Certified Data Analytics) What We'll Offer You In Return: The chance to join an organisation with triple-digit growth that is changing the paradigm on how digital solutions are built. The opportunity More ❯

law. Accommodation is available upon request for candidates taking part in the selection process. Senior Data Engineer (Azure/Databricks Job Family Grouping: Chief Underwriting Officer Job Family: Data & Analytics Location: London How does this role contribute to our collective success? The Data & Analytics department transforms raw data into actionable insights to drive informed decision-making and optimize business operations. … on the Azure platform, ensuring efficient data processing, storage, and retrieval. You will play a key role in modernizing our data architecture, ensuring efficient data integration, and enabling advanced analytics to support critical business decisions. This role will enhance the department's ability to deliver high-quality analytics and maintain robust data infrastructure. What will you do in this role More ❯

law. Accommodation is available upon request for candidates taking part in the selection process. Senior Data Engineer (Azure/Databricks Job Family Grouping: Chief Underwriting Officer Job Family: Data & Analytics Location: London How does this role contribute to our collective success? The Data & Analytics department transforms raw data into actionable insights to drive informed decision-making and optimize business operations. … on the Azure platform, ensuring efficient data processing, storage, and retrieval. You will play a key role in modernizing our data architecture, ensuring efficient data integration, and enabling advanced analytics to support critical business decisions. This role will enhance the department's ability to deliver high-quality analytics and maintain robust data infrastructure. What will you do in this role More ❯

be involved in the entire data pipeline from data acquisition to data extraction, ensuring that the data is accurate, reliable, and accessible, and fit-for-purpose for business intelligence, analytics, and data science functions. Data Engineer will be collaborating with cross-functional teams to support the delivery of impactful analytics work for our clients. About us We are the official … APIs, websites, and flat files for efficient data processing. Selecting and integrating appropriate tools and technologies Troubleshooting and resolving data-related issues. Architect scalable data solutions to support advanced analytics, machine learning, and real-time processing needs. Design and implement data governance frameworks, including metadata management, lineage tracking, and cataloging. Ensuring data quality and reliability; ensuring data security and compliance More ❯

data privacy, security and ethical guidelines in data analysis and model development. • Collaborate with data engineers to access, integrate and preprocess data for analysis purposes. • Provide expertise in advanced analytics and data science techniques to support decision-making and mission-critical operations. Staying current with the latest developments in data science, machine learning, and artificial intelligence to apply innovative approaches … and DAF data related laws, regulations, and policies (preferred). • Experience supporting the Air Force (preferred). • Multiple data analysis languages, methods, and tool expertise (preferred) Desired Certifications: • Certified Analytics Professional (CAP) • SAS Certified Professional: AI and Machine Learning (preferred) • SAS Certified Advanced Analytics Professional (preferred) • SAS Certified Data Scientist (preferred) • DataBricks Certified Data Engineer Professional (preferred) Travel: Some travel More ❯

laying the foundation for a modern, scalable, and reliable data platform. You'll work closely with stakeholders across the business to ensure that our data architecture supports business intelligence, analytics, and data science needs. This is a hands-on leadership role, combining deep technical experience, strong project delivery skills, and people leadership. You will directly manage a team of data … engineers and collaborate with pricing, analytics, IT, and business stakeholders. Your team will also be responsible for establishing and enforcing DevOps and FinOps best practices. KEY RESPONSIBILITIES Lead the end-to-end migration of the existing data warehouse to Google BigQuery, guiding the internal team and collaborating effectively with our implementation partner. Own and evolve the data platform strategy, architecture … engineers, fostering a culture of technical excellence and collaboration. Define and enforce best practices in data modelling, ETL/ELT processes, and pipeline monitoring. Work closely with stakeholders across analytics, pricing, operations, finance, and product to understand their data needs and ensure the platform meets them. Manage project timelines, risks, dependencies, and budget where appropriate. Champion DevOps/DataOps practices More ❯

Talan UK is a leading Data Management and Analytics consultancy, working closely with leading software vendors and top industry experts across a range of sectors, unlocking value and insight from their data. At Talan UK, innovation is at the heart of our client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as … this role, you must have: Multi-skilled experience in one or more of the following disciplines: Data Management, Data Engineering, Data Warehousing, Data Modelling, Data Quality, Data Integration, Data Analytics, Data Visualisation, Data Science and Business Intelligence. Delivery experience using the following core technology: SAS (SAS EG, SAS DI, SAS Viya). An ability to write complex SQL queries. Project More ❯

Mastery of SQL, including the ability to write complex queries, stored procedures, views and perform query optimization. •Programming/Statistical Analysis Skills: Working knowledge of R or Python for analytics, data manipulation, and algorithm development. •Data Warehousing Knowledge: In-depth knowledge of data warehousing principles, dimensional modeling techniques (e.g., star schema, snowflake schema), and data quality management. •Communication and Collaboration … with project management methodologies (e.g., Agile, Waterfall) and tools (e.g., JIRA, Confluence). PREFFERED QUALIFICATIONS •Minimum 1+ years of experience supporting a Financial Operations function •Experience in advanced data analytics, statistical modeling, and predictive analytics using tools such as Alteryx, Python, or R; experience with machine learning algorithms and techniques is a plus. •Experience in building and maintaining APIs for More ❯

dynamic and fast-paced workplace. The analyst position will include, but is not limited to, the following capabilities: Essential Job Functions: Architect, design, code, and implement next-generation data analytics using best practices in the latest technologies. Develop solutions to enable metadata/rules engine-driven data analytics application leveraging open source and/or cloud native components. Develop solutions More ❯

Job Summary: We are seeking a skilled and detail-oriented Data Analyst with strong interpersonal and client facing skills to join our data analytics team. The ideal candidate will be responsible for designing, developing, and maintaining dashboards and reports to data-driven support decision-makers across the organisation whilst also liaising with our client and their subsequent data analyst's More ❯

enforcement client's data holdings to develop innovative insights, predictive models, and business solutions. The ideal candidate will have experience working with unstructured data, statistical modeling, and advanced data analytics to drive decision-making and enhance operational effectiveness. Develop and support AI/ML models for data analysis, focusing on the accuracy, authenticity, expectancy, timeliness, relevancy, and viability of intelligence More ❯

responsible for overseeing the implementation, administration, and optimization of our data management environment. This includes managing Azure cloud services, SQL Server databases, Apache Tomcat applications, and leveraging cutting-edge analytics tools like Power BI and Data Bricks. You will provide technical leadership to data engineering teams, optimize data pipelines, and ensure that systems meet performance, reliability, and security standards. This More ❯

one person at a time. Position Purpose Working under the direction of the Head of Data & Insights this position will build, test and continuously improve the data platform and analytics capability within Melba. Collaborating with key stakeholders this position will focus on translating business needs into actionable data solutions by developing, enhancing, and maintaining robust data platforms, reporting tools, and More ❯

Position Overview We are seeking a highly motivated and analytically strong Data Analyst to join our Portfolio Management Team (PMT). This role is designed for professionals with 4–5 years of experience who thrive in data-driven environments and More ❯

Position Overview We are seeking a highly motivated and analytically strong Data Analyst to join our Portfolio Management Team (PMT). This role is designed for professionals with 4–5 years of experience who thrive in data-driven environments and More ❯

Product Owner (Data & Analytics) London Hybrid - 3 days pw onsite £60,000 to £75,000 We currently have an exciting opportunity for a Data Product Owner to join a one-of-a-kind customer centric organisation in the not-for-profit space, whose solutions support customers and their families across the UK. In this role, you’ll drive the evolution … and implementation of data products, ensuring high-quality, accessible, and trusted data that fuels analytics, machine learning, and personalised experiences. You will work cross-functionally to create data products that empower teams across the business, from marketing to operations, and enable insight-driven decisions. Acting as the bridge between business stakeholders, data scientists, analysts, engineers, and governance teams, you'll … prioritised & actionable backlog that maximizes business value while ensuring to addresses customer needs. What you'll bring... Experience as a Data Product Owner or Product Owner for data/analytics platforms. Experience managing data products or platforms, ideally customer data platforms (CDPs), data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data engineering workflows, data tools (dbt, Airflow), and More ❯