501 to 525 of 15,524 Analytics Jobs

Generation BI ecosystem. Ensure robust data governance, including a centralised data catalogue, data quality, compliance, and access management. Manage global teams across Data Engineering, Reporting, Data Governance, and Advanced Analytics, fostering an agile, value-driven, and innovation-focused culture. Collaborate with business and IT stakeholders (Data Owners, Product Owners, Business Leaders) to position data as a core strategic asset. Oversee … leadership role in a global or matrixed organisation. Proven expertise in modern BI architecture (Data Lake, EDW, Streaming, APIs, Real-Time & Batch Processing). Demonstrated experience delivering cloud-based analytics platforms (Azure, AWS, GCP). Strong knowledge of data governance, cataloguing, security, automation, and self-service analytics. Excellent leadership and team management skills across distributed and cross-functional teams. Strong … and non-technical stakeholders alike. The Head of BI will work within a modern, cloud-based BI ecosystem, including: Data Integration: Fivetran, HVR, Databricks, Apache Kafka, Google BigQuery, Google Analytics 4 Data Lake & Storage: Databricks Delta Lake, Amazon S3 Data Transformation: dbt Cloud Data Warehouse: Snowflake Analytics & Reporting: Power BI, Excel, Snowflake SQL REST API Advanced Analytics: Databricks (AI & Machine More ❯

BI ecosystem . Ensure robust data governance, including a centralised data catalogue, data quality, compliance, and access management. Manage global teams across Data Engineering, Reporting, Data Governance, and Advanced Analytics, fostering an agile, value-driven, and innovation-focused culture. Collaborate with business and IT stakeholders (Data Owners, Product Owners, Business Leaders) to position data as a core strategic asset. Oversee … role in a global or matrixed organisation . Proven expertise in modern BI architecture (Data Lake, EDW, Streaming, APIs, Real-Time & Batch Processing). Demonstrated experience delivering cloud-based analytics platforms (Azure, AWS, GCP). Strong knowledge of data governance, cataloguing, security, automation, and self-service analytics. Excellent leadership and team management skills across distributed and cross-functional teams. Strong … technical stakeholders alike. The Head of Data Engineering & Insight will work within a modern, cloud-based BI ecosystem , including: Data Integration: Fivetran , HVR, Databricks , Apache Kafka, Google BigQuery , Google Analytics 4 Data Lake & Storage: Databricks Delta Lake, Amazon S3 Data Transformation: dbt Cloud Data Warehouse: Snowflake Analytics & Reporting: Power BI, Excel, Snowflake SQL REST API Advanced Analytics: Databricks (AI & Machine More ❯

the rapid growth environment of Cloud Computing? Amazon Web Services is looking for a highly motivated, analytical and detail oriented candidate to help build scalable, predictive and prescriptive business analytics solutions that supports AWS Supply Chain and Procurement organization. You will be part of the Supply Chain Analytics team working with Global Stakeholders, Data Engineers and Business Analysts to achieve … Conduct deep dive analyses of business problems and formulate conclusions and recommendations; determine optimized courses of action to deliver comprehensive Analytical solutions. • Enhance analytical maturity through predictive and prescriptive analytics using Machine Learning and Optimization techniques. • Produce written recommendations and insights for key stakeholders to help shape solution design. • Design, develop and maintain scalable and reliable analytical tools, dashboards, and … help you develop into a better-rounded professional. BASIC QUALIFICATIONS - Bachelor's degree in Engineering, Statistics, Computer Science, Mathematics, Economics, Data Science or related field. - 6+ years' hands-on analytics work experience, with proven quantitative orientation. - 3+ years' experience using business intelligence tools like Tableau, QuickSight, PowerBI etc. Hands on experience in Python, SQL, Data Warehouse solutions and databases - Experience More ❯

BI ecosystem . Ensure robust data governance, including a centralised data catalogue, data quality, compliance, and access management. Manage global teams across Data Engineering, Reporting, Data Governance, and Advanced Analytics, fostering an agile, value-driven, and innovation-focused culture. Collaborate with business and IT stakeholders (Data Owners, Product Owners, Business Leaders) to position data as a core strategic asset. Oversee … role in a global or matrixed organisation . Proven expertise in modern BI architecture (Data Lake, EDW, Streaming, APIs, Real-Time & Batch Processing). Demonstrated experience delivering cloud-based analytics platforms (Azure, AWS, GCP). Strong knowledge of data governance, cataloguing, security, automation, and self-service analytics. Excellent leadership and team management skills across distributed and cross-functional teams. Strong … technical stakeholders alike. The Head of Data Engineering & Insight will work within a modern, cloud-based BI ecosystem , including: Data Integration: Fivetran , HVR, Databricks , Apache Kafka, Google BigQuery , Google Analytics 4 Data Lake & Storage: Databricks Delta Lake, Amazon S3 Data Transformation: dbt Cloud Data Warehouse: Snowflake Analytics & Reporting: Power BI, Excel, Snowflake SQL REST API Advanced Analytics: Databricks (AI & Machine More ❯

strategy. The Data and AI Lead will be responsible for establishing a robust data governance framework, enabling data-driven decision-making, and identifying opportunities to leverage AI and advanced analytics across the organisation. This role will play a critical part in ensuring data integrity, accessibility, and innovation, while aligning with regulatory and ethical standards. The role holder will lead a … Establishing data architecture standards and ensuring alignment with enterprise IT and digital strategies Overseeing the development of data pipelines, models, and human interfaces to support real-time and predictive analytics Ensuring compliance with data protection regulations and ethical AI principles Building internal capability through training, tools, and best practice guidance on data and AI Representing the organisation in cross-government … Strong understanding of data governance frameworks, data architecture, and AI/ML lifecycle management Experience with cloud platforms (e.g. Azure, AWS), data engineering tools (e.g. Databricks, Snowflake, Foundry), and analytics platforms (e.g. Power BI, Tableau) Knowledge of relevant legislation and standards, including GDPR, ISO 27001, and ethical AI guidelines Proven ability to translate business needs into data and AI solutions More ❯

Analyst role at Wates Group The Vacancy We are seeking a highly skilled The Vacancy We are seeking a highly skilled Lead Data Analyst to join our growing Data & Analytics team. This is a technical leadership role focused on both delivering high-quality analytics solutions and coaching Assistant Data Analysts to ensure excellence across the team. You will act as … Familiar with Microsoft Data Lake and data modelling best practices. Proven experience managing data projects and stakeholder expectations. Strong ability to tell stories with data Qualifications Certification in Data Analytics Technology (preferred) ITIL v3 Foundation (desirable) Technical Skills Power BI & DAX Jupyter or Azure Synapse Notebooks Databricks Microsoft Data Lake Python (or similar) What We Offer Competitive salary Flexible working … Kingdom 2 weeks ago London, England, United Kingdom 1 week ago Senior Data Analyst | Greenfield Trading House | Up to £100k + Bonus | London Hybrid 3x/week Liquidity Data & Analytics Business Analyst Data Analyst, Power BI | Investment Management - Trading Platform | London, Hybrid | up to £100k + Bonus, Benefits Snr Data Analyst, Power BI | Investment Management - Trading Platform | London, Hybrid | up More ❯

Manager, Business Intelligence Engineer, III, Amazon FinAuto - GREF Tech The Global Real Estate and Facilities (GREF) Technology team, part of Finance Automation, is the software development and data and analytics team for GREF. Our mission is to build technology solutions that simplify the processes Amazon employs to manage its corporate real estate and improve workplace experience. We build services and … III to create the next generation of real estate systems and tools. You will play a crucial role in driving the development and implementation of advanced business intelligence and analytics solutions. You will leverage your strong technical expertise and analytical skills to empower GREF's cross-functional teams with actionable data insights that support strategic decision-making. The ideal candidate … Amazon QuickSight • Lead the design and implementation of highly complex, scalable, and high-performance BI architectures and data models to support the organization's strategic business objectives • Use advanced analytics techniques, such as statistical analysis, predictive modeling, and machine learning, to uncover hidden patterns and trends in data • Collaborate cross-functionally with data engineers, data scientists, and business partners to More ❯

Business Intelligence Engineer II, Amazon FinAuto - GREF Tech The Global Real Estate and Facilities (GREF) Technology team, part of Finance Automation, is the software development and data and analytics team for GREF. Our mission is to build technology solutions that simplify the processes Amazon employs to manage its corporate real estate and improve workplace experience. We build services and products … II to create the next generation of real estate systems and tools. You will play a crucial role in driving the development and implementation of advanced business intelligence and analytics solutions. You will leverage your strong technical expertise and analytical skills to empower GREF's cross-functional teams with actionable data insights that support strategic decision-making. The ideal candidate … Amazon QuickSight • Lead the design and implementation of highly complex, scalable, and high-performance BI architectures and data models to support the organization's strategic business objectives • Use advanced analytics techniques, such as statistical analysis, predictive modeling, and machine learning, to uncover hidden patterns and trends in data • Collaborate cross-functionally with data engineers, data scientists, and business partners to More ❯

office) Department Summary: MITRE is currently seeking motivated and qualified applicants for a Computational Finance Technology and Regulation Analyst to join our Financial Innovation Laboratory (FINLab) and Model-Based Analytics Department (L144) in the Modeling, Simulation, Experimentation and Analytics Division. In FINLab, our CompFi scientists provide expert analysis and consulting to our Federal Government clients in transforming their technologic and … applicants will have demonstrated expertise in at least two of the following areas: Corporate Finance, Financial Market Microstructure and Regulation, Payment Systems, Fintech, Regulatory Tech and Supervisory Tech, Financial Analytics, Market Modeling and Analysis. Responsibilities: • Develop innovative, multidisciplinary approaches for analyzing financial data and trends that may impact the US financial system and markets • Advise government sponsors on the technologies …/or develop research proposals on issues related to improving financial regulation and banking supervision, adopting new technologies to support distributed ledger or faster payments, or implementing advanced financial analytics • Understand US, mission partner, and adversary capabilities and assess potential threats to U.S. financial stability and security. • Conduct analytic and simulation-based analyses using financial data to provide new insights More ❯

of our Agile development team. In this role, you'll drive the evolution and implementation of Finance and 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 … BigQuery), or data lakes. Familiarity with data modelling, data pipelines, ETL/ELT processes, and APIs. Strong understanding of data quality frameworks, data contracts, and lineage. Proficient in using analytics and BI tools (e.g., Tableau, Power BI, Looker) to drive product decisions. Strong understanding of Agile frameworks and Product delivery. Analytical mindset and ability to prioritise based on value derived … achieve their best work. Minimum criteria Demonstrable experience as a Product Owner or in a similar role. Experience as a Data Product Owner or Product Owner for data/analytics platforms. Understanding of the software development lifecycle with a data-centric lens. Familiarity with data engineering workflows, data tools (dbt, Airflow), and cloud data platforms (AWS, GCP, Azure). Proven More ❯

of our Agile development team. In this role, you'll drive the evolution and implementation of Finance and 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 … BigQuery), or data lakes. Familiarity with data modelling, data pipelines, ETL/ELT processes, and APIs. Strong understanding of data quality frameworks, data contracts, and lineage. Proficient in using analytics and BI tools (e.g., Tableau, Power BI, Looker) to drive product decisions. Strong understanding of Agile frameworks and Product delivery. Analytical mindset and ability to prioritise based on value derived … achieve their best work. Minimum criteria Demonstrable experience as a Product Owner or in a similar role. Experience as a Data Product Owner or Product Owner for data/analytics platforms. Understanding of the software development lifecycle with a data-centric lens. Familiarity with data engineering workflows, data tools (dbt, Airflow), and cloud data platforms (AWS, GCP, Azure). Proven More ❯

of our Agile development team. In this role, you'll drive the evolution and implementation of Finance and 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 … BigQuery), or data lakes. Familiarity with data modelling, data pipelines, ETL/ELT processes, and APIs. Strong understanding of data quality frameworks, data contracts, and lineage. Proficient in using analytics and BI tools (e.g., Tableau, Power BI, Looker) to drive product decisions. Strong understanding of Agile frameworks and Product delivery. Analytical mindset and ability to prioritise based on value derived … achieve their best work. Minimum criteria Demonstrable experience as a Product Owner or in a similar role. Experience as a Data Product Owner or Product Owner for data/analytics platforms. Understanding of the software development lifecycle with a data-centric lens. Familiarity with data engineering workflows, data tools (dbt, Airflow), and cloud data platforms (AWS, GCP, Azure). Proven More ❯

most connected data platform that bridges marketing strategy to scaled activation. We work with agencies and clients to transform the value of data by bringing together technology, data and analytics capabilities. We deliver this through the Open Media Studio, an AI-enabled media and data platform for the next era of advertising. We’re endlessly curious. Our team of thinkers … cloud and data ecosystems that align with the organisation’s business and technology goals, enabling the development and deployment of sophisticated agentic intelligence solutions. You will collaborate with engineering, analytics, and business leaders to ensure that our systems support data-driven decision-making, meet the demands of a modern, cloud-native enterprise, and facilitate the orchestration of intelligent agents. Define … a focus on identifying opportunities for agentic intelligence to enhance our products and services. Design and implement a modern data architecture, including data lakes, data warehouses, and real-time analytics platforms, ensuring they are optimised for agent access and data processing. Ensure data platforms support advanced analytics, machine learning, and business intelligence requirements, as well as the specific data needs More ❯

Lead at Simple Pharma plays a pivotal role in shaping and delivering the roadmap for our internal data capabilities. Sitting at the intersection of business operations, data engineering, and analytics, this role ensures that our data systems and insights are aligned with the company's strategic goals and day-to-day needs. You will lead the data function, with data … you will be doing ️ Lead, Define and Deliver the Data Roadmap Translate business strategy and operational needs into a clear data roadmap, prioritising and coordinating delivery across data infrastructure, analytics, and automation projects. Lead and Mentor the Data Team Support the growth and performance of data analysts and engineers by setting direction, mentoring day-to-day, and enabling them to … opportunities for improvement, and ensure that data projects drive measurable outcomes. Translate technical details into actionable Insights for a range of audiences, including non-technical stakeholders. Contribute Directly to Analytics and Solution Design Take a hands-on role in analysis and solution development—supporting insight generation, refining dashboards, and helping to design data models and workflows where needed. Drive Adoption More ❯

Position Description Purpose: The Air Force ISR Digital Infrastructure Transformation paves the way for intelligence analysts to harness the latest technological advancements securely. It is orchestrated through Data and Analytics, Sense Making/Automation, Augmentation and AI (AAA), Networks, Hybrid and Multi-Cloud, Enterprise Services, and cybersecurity capabilities. This structure allows integration, synchronization, and coordination with the Intelligence IC, Department … related to governance, strategic planning, enterprise architecture, capability portfolio management, solutions analysis, solution implementation planning, performance and risk management, IT service management, systems engineering, innovative project management, data and analytics, training, program analysis, policy analysis, information technology analysis, and administrative technical support. Additionally, the candidate will offer Data Architecture expertise to support existing, ongoing, and expanding programs, projects, technologies, processes … Experience working with or contributing to the design and implementation of data architectures. • Cloud Computing: Experience with cloud platforms (AWS, Azure, GCP) and their data services, including storage, compute, analytics, and security offerings. Familiarity with cloud-based data warehousing, data lake solutions, and cloud migration strategies. • Understanding of the Intelligence Community (IC): Knowledge of IC data standards, policies, and practices More ❯

Brand: Develop pricing algorithms balancing supply, demand, and margin targets. Build dashboards to track product launches and promotional performance. Analyse customer acquisition channels and ROI using tools like Google Analytics, Ads, Meta, Bing. Map customer journeys and identify conversion drivers. Enhance loyalty programs and customer lifetime value. Lead A/B and multivariate testing to improve UX and conversion. Drive … What We're Looking For 5+ years of experience in data insight, pricing, or revenue optimisation. experienced with large datasets from ingestion to analysis. Strong background in e-commerce analytics (Google, Meta, Bing). Advanced SQL , Excel (including VBA/macros) , and Power BI skills. Experience with Python is a plus. Highly numerate with excellent problem-solving skills. Independent thinker More ❯

cross-functional teams, including Marketing, Product, and UX, to optimize acquisition and conversion strategies. Develop and maintain dashboards and reporting tools to track KPIs and acquisition performance. Leverage advanced analytics techniques (e.g., regression analysis, segmentation, cohort analysis) to enhance understanding of user behavior. Collaborate with performance marketing and CRM to maximise LTVs. What We're Looking For Bachelor’s degree … in Mathematics, Data Science, Statistics, Marketing, Business Analytics, Economics or a related field. 4+ years of experience in product analytics, data analysis, or a related field. Expert knowledge in SQL. Experience with data visualization tools such as Tableau, ThoughtSpot, or Power BI. Expert knowledge of Statistical analysis and A/B methodologies. Strong problem-solving skills and ability to communicate More ❯

AI/ML frameworks to enhance operational efficiency and customer experience. Manage and deliver complex technology projects on time and within budget, ensuring high-quality outcomes. Data Management and Analytics: Implement data governance models and advanced analytics solutions to enhance decision-making and business insights. Lead initiatives in big data augmentation and predictive analytics. Develop a group-wide data strategy … transformation projects and innovative technology solutions. Deep domain expertise in asset management, private equity, and the shipping industry. Experience in delivering technology projects in the shipping industry, including data analytics platforms. Hands-on experience with a variety of technologies such as Microservices, .NET Core, Angular, React, Node, Java, Azure/AWS/Docker, ML/AI frameworks, NoSQL, blockchain, and More ❯

consultant for the diverse business areas we serve. You'll play a key role in shaping the future of CAVU's data science capability, accelerating the use of advanced analytics, and embedding data-driven decision making across the organisation. As our new Senior Data Scientist, you'll work on exciting projects including productionising forecasting algorithms, developing classification models, exploring customer … on NLP projects too. You'll also take ownership of projects, support our data science tooling (including Databricks and AWS), and collaborate closely with experts in Data Engineering, BI, Analytics, and Data Governance to solve problems and create scalable solutions that make a tangible difference. What's in it for you? This is a brilliant opportunity to join CAVU's … deliver clean, reliable, and well-documented datasets. Develop and maintain CI/CD pipelines for testing, deployment, and delivery of data science solutions. Support data modelling and transformation for analytics and reporting needs. Contribute to continuous improvements in our data science practices, testing frameworks, and deployment processes. Mentor and support more junior colleagues, fostering a culture of learning and knowledge More ❯

mission to help our customers connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart home devices … a key role in crafting data platforms, models, and pipelines that inform strategic decision-making for our customers and prepare data for a variety of use cases from simple analytics to Generative AI and Data Science. This role reports into our Principal Data Engineer. Your Role Collaborate and Innovate: Partner with internal and customer stakeholders to understand business needs and … as an Azure Data Engineer, with the ability to consult, advise, engineer, and optimize data products and assets. Azure Data Products: Expertise in platforms like Microsoft Fabric, Azure Synapse Analytics, Azure Databricks, and supporting technologies such as Power BI, Microsoft Purview, Azure SQL Database, Azure Cosmos DB, Azure Data Lake, etc. Azure Infrastructure: Understanding core Azure concepts and tools (Networks More ❯

and functions to achieve these goals. What will my accountabilities be? As a Restaurant Technology Problem Manager, you will be responsible for owning ITIL Problem Management and Service Data Analytics whilst managing a team of Site Reliability Engineers and Level 3 technical subject matter experts. Your accountabilities could be refined as follows: Own ITIL Problem & Change Management Take ownership of … Collaborate with development teams to advocate for reliability engineering principles throughout the software development lifecycle, detecting and correcting performance issues to meet availability goals. Manage Service Operations data and analytics Take charge of the management and roadmap of an internal data lake house and its downstream reporting, delivering early insights and value to the business. Enforce data governance policies and … practices to ensure the quality, security, and integrity of data. Utilise advanced analytics and machine learning techniques to develop actionable insights from data, contributing to the enhancement of system reliability and performance. What Team will I be a part of? This role will operate within the Running Great Restaurant Technology (RGRT) team Who are my customers? Reporting directly to the More ❯

exciting journey awaits, if you are interested in exploring the possibilities We Want to Talk to You! The Difference You Make: The primary function of the IT, Data & Advanced Analytics Sr. Auditor role is to execute complex audit testing, with focus on data risk and the use of advanced analytics tools, as part of internal audit reviews and activities and … address audit recommendations. Documents audit testing and follow-up tasks in accordance with relevant audit standards. Attends professional training actions provided by the company. Evaluate control effectiveness through data analytics-driven tests. Provides consistent quality service to both internal and external stakeholders that meets the company's standards. What You Bring: To perform this job successfully, an individual must be … or equivalent quantitative field. Req Master's Degree Data Science, Data Analysis, Operational Research, Decision Management or equivalent quantitative field. Pref Work Experience: 3+ Years Data mining/advanced analytics applied to large-scale data-intensive projects. Req Skills and Abilities: Demonstrated experience with advanced statistical packages and software. Demonstrated experience building and applying machine learning/predictive modeling in More ❯

business intelligence tools based on Tableau software and a growing cloud data warehouse connected to robust data pipelines. The team is responsible for designing, developing, and curating golden-copy analytics datasets from diverse sources. These systems empower data scientists and analysts to make informed, high-quality decisions within the firm and across Blackstone's portfolio companies. Given the scale of … Blackstone's investments and the critical role of data analytics, this is a unique opportunity. Key Responsibilities: Assess high level analytics goals, refine requirements, and build scalable data solutions Refine and drive adoption of data visualization best practices throughout the firm Develop and enrich relationships with data leads across Blackstone Facilitate Proof-of-concept (POC) engagements, draft business designs (requirements … and provide constructive feedback to team members. Stay up-to-date with emerging technologies and industry trends to continuously improve development practices. Qualifications: 7+ years of data visualization/analytics experience preferred on platforms such as Tableau, Sigma, PowerBI, Looker, etc. Capacity to work within complex systems and large data sets via SQL or Python Entrepreneurial attitude and ability to More ❯

opportunities available for experienced professionals across architecture and engineering. This unit is driving major transformation initiatives with flagship enterprise clients, with a focus on intelligent data platforms, AI-driven analytics, and scalable cloud-native solutions. Role Overview This is a strategic and hands-on opportunity for an experienced Data Architect to lead the development of a robust, scalable data architecture … expert on GCP data and AI solutions, both internally and with client stakeholders Design and deliver scalable architectures across data lakes, pipelines, AI/ML models, and real-time analytics Work in collaboration with Google Cloud teams, ensuring alignment to best practices and cutting-edge services Build reusable assets, accelerators, and frameworks to drive project delivery and consistency Lead a More ❯

also brings strategic product thinking and cross-functional leadership . In this role, you'll not only lead the design and implementation of the data infrastructure that powers advanced analytics and data science across our platforms, but also contribute to the strategic direction, roadmap, and execution of data products in collaboration with senior stakeholders. Architect & Build Scalable Data Solutions Collaborate … end ingestion pipelines Design and build robust ETL/ELT processes and data architectures using modern tools and techniques Lead database design, data modelling, and integration strategies to support analytics at scale Drive Data Integration & Management Design and implement secure, scalable, and efficient data ingestion frameworks across structured, semi-structured, and unstructured data Partner with product owners and engineers to … scalability top of mind What You'll Bring An ideal candidate will have: Proven experience in a hands-on technical role delivering impact through data engineering, software development, or analytics Demonstrated success in launching and scaling technical products or platforms Strong programming skills in at least two of the following: Python, SQL, Java Commercial experience in client-facing projects is More ❯