976 to 1,000 of 5,999 Analytics Jobs

transformation context AI Services delivery: contact-centre optimisation, AI driven personalisation, AI assisted marketing intelligence, and AI powered operations Strong technical background in AI technologies, machine learning, and data analytics Exceptional communication and interpersonal skills to engage with clients and stakeholders effectively Understanding of the challenges and opportunities in digital transformation across various industries Innovative mindset with a passion for More ❯

changes, value positioning, and negotiation strategies. Strong analytical skills with proficiency in Excel, SQL, and/or data visualisation tools (e.g. Tableau) Experience in pricing, revenue management, or commercial analytics within a B2B or SaaS environment. Understanding of pricing strategies, including value-based and dynamic pricing models. Experience running and analysing A/B tests or other pricing experiments. Commercial More ❯

and implementing reusable Power Platform components, templates, and best practices to streamline development. • Providing guidance on solution architecture, data integration, and performance optimization for Power Platform projects. Reporting and Analytics: • Creating dashboards and reports to track Power Platform usage, identify potential issues, and measure the impact of Power Platform solutions. • Analyzing data to identify trends and opportunities for improvement within More ❯

field, or a related field, or equivalent experience. Over 5 years of hands-on experience in Software Engineering, Enterprise Intelligence, including Data Warehousing, Data Management, Data Manipulation, Business Intelligence, Analytics, and the Big Data ecosystem. Proven track record of successfully leading teams of developers, data/software engineers, data analysts, or data scientists for more than 2 years. Proficiency in More ❯

Google Classroom. Demonstrated expertise in managing enterprise business systems such as LMS, Salesforce, HR platforms, Power BI, SQL databases, and online learning environments. Skilled in data governance, reporting, and analytics, with a strong ability to translate both business and academic requirements into effective technical solutions. Proven ability to lead and manage a team of business systems developers, while providing proactive More ❯

not hesitate to contact us on our email which is (url removed) where we will be happy to action your requests. KEYWORDS: Pricing Strategy, Pricing Analysis, Strategy, Competitive Analysis, Analytics, Communication Skills, Excel, PROS, Pricing Manager, Pricing Management, pricing analyst, commercial analyst More ❯

make society safer and keeping the criminals at bay. LexisNexis Risk Solutions is seeking a Product Manager to join our Global Team , who would focus on growing our fraud analytics proposition , helping us fulfil our mission to provide essential insights to advance and protect people, industry and society . You will act as a Product Owner, working in a dynamic More ❯

the financial services industry. For more than two centuries, we've been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients. Work, Live and Grow. We make all efforts to create a great work environment. Our benefits packages are competitive and comprehensive. More ❯

We believe the best jobs make you fly - so what better way to launch your career than with a 24-month Virgin Atlantic Apprenticeship in Analytics, Data and AI? You’ll gain hands-on experience, industry-recognised qualifications, and make a real impact from day one. Role Own and manage a variety of regular reports for internal and external use More ❯

data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes. Our Team More ❯

s well-suited to someone who enjoys turning real-world routing challenges into scalable solutions. You'll work directly in a cross-functional squad which includes Operations, Engineering, Data Analytics, and Data Science, to improve the quality of our routes and reduce the cost of delivery. You'll also play a key role in shaping our future routing strategy, working More ❯

command of English. Preferred Qualifications: PhD in Computer Science, Engineering, Physics, Data Science, Operations Research, or related field. Experience designing and deploying Infrastructure to support machine learning and data analytics solutions. Experience in data engineering infrastructure, data warehousing, cross-region replication Project Management certifications, e.g. PMP Cloud Certifications in AWS, Azure, GCP Kubernetes Certifications, e.g. CKA, CKAD, CKS Any other More ❯

Henry Schein One (HSOne) is the global leader in dental management, analytics, communication and marketing software. We deliver innovative dental software and services, combined with expert business coaching, to help connect dental technology so it works as one. When technology connects, more data is shared, more tasks are automated, and more work gets done. Most importantly, dental professionals have more More ❯

test new business rules to support new target areas identified by the team. Implementing data storage solutions, integrating databases, and using Azure data services for efficient data management and analytics Provide innovated methods by which management teams maintain their business objectives Analysts Insights Supporting SeeR team business analysts with data and resulting rule implementations through visualizations. Insights to rule effectiveness More ❯

Qualifications Advanced degree in Computer Science, Engineering, or related field. Deep Learning modelling expertise is highly preferred. Experience in agile, DevOps, and modern software development methodologies. Familiarity with data analytics, machine learning, or AI technologies. Prior experience in a startup or high-growth technology company. Prior experience in the sports, media, or digital advertising ecosystem would be a big plus. More ❯

the financial services industry. For more than two centuries, we've been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients. Work, Live and Grow. We make all efforts to create a great work environment. Our benefits packages are competitive and comprehensive. More ❯

Saalex Solutions, a division of Saalex Corp., is an Engineering and Information Technology Services company with a focus on Test Range Operations and Management, Engineering and Logistics Services, Data Analytics and Business Intelligence Services and Information Technology Services. Founded in 1999 by Travis Mack, Saalex Solutions is a Service Disabled Veteran-Owned and Operated business with prime and subcontract expertise More ❯

who exhibits Ownership and Insist on the Highest Standards, and has strong engineering and operational best practices experience. Basic qualifications: 5+ years of relevant professional experience in business intelligence, analytics, statistics, data engineering, data science or related field. Experience with Data modeling, SQL, ETL, Data Warehousing and Data Lakes. Strong experience with engineering and operations best practices (version control, data More ❯

and attention to detail. Our 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 divisions. To help us deliver More ❯

Stock Exchange Group) is a world-leading financial markets infrastructure and data business. We are dedicated, open-access partners with a commitment to excellence in delivering services across Data & Analytics, Capital Markets, and Post Trade. Backed by three hundred years of experience, innovative technologies, and a team of over 23,000 people in 70 countries, our purpose is driving financial More ❯

with the latest Azure technologies and industry best practices to continuously enhance data engineering capabilities. Looking at our current pipeline of work, we can also consider those with an Analytics Engineering lean, with experience within BigQuery (GCP) with data modelling in DBT and mobile/telecoms industry experience would be beneficial. A bit about YOU! As much as we just More ❯

BigQuery tables. LangChain/Langraph: Experience building LLM-powered applications with prompt m anagement/chaining and integration with various LLM providers. BigQuery: Advanced knowledge of data warehousing/analytics, BigQuery ML for in-database machine learning, query optimization techniques. Google Cloud Storage (GCS): Experience with data lake management, storage/retrieval processes, lifecycle management. Desirable ITIL Foundation in IT More ❯

leading AI projects within an engineering and manufacturing environment Extensive experience in project management, team leadership, and strategic planning Strong understanding of AI technologies, machine learning algorithms, and data analytics Evidence of effective stakeholder management in a complex multi 1 stakeholder environment Track record of driving delivery, continuous improvement, and sustained performance focusing activities on key business issues and outcomes More ❯

structures, metadata, dependency and workload management Identify and resolve data issues including data quality, data mapping, database and application issues Implement data flows to connect operational systems, data for analytics and business intelligence (BI) systems Deliver high quality implementation and documentation for critical functionality Deliver code, unit tests, feature tests, stubs and integration tests. Operate in an agile environment as More ❯

leading AI projects within an engineering and manufacturing environment Extensive experience in project management, team leadership, and strategic planning Strong understanding of AI technologies, machine learning algorithms, and data analytics Evidence of effective stakeholder management in a complex multi[1]stakeholder environment Track record of driving delivery, continuous improvement, and sustained performance focusing activities on key business issues and outcomes More ❯