2,826 to 2,850 of 10,257 Analytics Jobs

right data. Turn messy questions into clear, evidence-based answers. What we’re looking for 5+ years in data engineering and/or analytics on production systems. Strong SQL and Python, with experience in data warehouses and pipeline tooling. Able to both build the plumbing and interpret what the numbers ...

leadership, and track remedial actions and optimisation opportunities to effective closure; Drive and support global projects and initiatives for operations excellence, providing data‐driven analytics and insights to support informed decision‐making What you’ll bring: Bachelor’s degree in Accounting, Finance, Economics, Business Management, Statistics and Mathematics … communication and time/project management skills Strong analytical and problem‐solving skills Fluency in both English and Chinese (spoken and written); Data and analytics skills (e.g. SQL, Looker) are a plus Applicant Safety Policy: Fraud and Third-Party Recruiters To protect you from recruitment scams, please be aware that ...

complex AI/ML capabilities for executive, technical, and operational buying audiences. Support the integration of AI/ML messaging into adjacent product categories (Analytics, Data Engineering/Data Lake) and vertical GTM motions (line of business and industry), ensuring one coherent regional story rather than siloed workload pitches. … sight from marketing activity pipeline consumption. OUR IDEAL CANDIDATE WILL HAVE:7+ years of product marketing experience (or equivalent).Subject-matter expertise in data analytics, AI/ML/LLMs, data science, or application development, preferably with hands-on familiarity with AI assistant, copilot, or agentic-workflow products. Demonstrated ability ...

behavioral triggers. Troubleshoot and solve technical problemsInvestigate and resolve issues related to audience qualification, journey logic, personalization, data discrepancies, and campaign performance. Partner with Analytics, MarTech, and Engineering teams to diagnose integration and data flow issues. Proactively identify risks and implement scalable solutions. Drive experimentation and performance optimizationDesign A/… improve audience targeting, customer journeys, and content effectiveness. Share insights and recommendations with stakeholders. Partner across the businessCollaborate closely with Product Marketing, Product, Analytics, Engineering, Creative, Sales, and Customer Success teams. Translate business goals into effective CRM strategies. Act as a trusted CRM expert and strategic partner across the organization. ...

risk and PnL calculations for complex derivatives portfolios. Deliver strategic initiatives such as onboarding new products, expanding risk and market-data capabilities, building predictive analytics, enhancing pricing applications and improving the performance and scalability of risk calculations. Balance longer-term platform development with rapid delivery of business-critical enhancements … methodologies and PnL concepts, with the ability to engage confidently with traders and quantitative teams. Experience delivering systems involving pricing, risk calculations, PnL, scenario analytics, market-data processing or quantitative business logic is highly desirable. Strong analytical and problem-solving skills with the ability to investigate complex issues spanning business ...

5+ years. Here are some things we've worked on recently that give a sense of the work we do: Building a data analytics tool using a Neo4J graph database. A DevOps platform to support 3000 users. Processing digital forensic data to enable search and insight generation. A search … GitLab or other DevOps platforms) to support consistent and secure deployments. Proactively monitor, troubleshoot, and continuously improve platform environments using appropriate logging, monitoring, and analytics tools. Lead on and contribute heavily to resolving difficult issues and major incidents. Embed secure design principles into everything you build, proactively seeking security advice. ...

developing robust data observability systems, and embedding governance and GDPR compliance principles across the data lifecycle. You’ll collaborate with product engineering, data platform, analytics, and legal teams to build confidence in data as a product - one that’s reliable, auditable, and actionable. Responsibilities Define and execute the vision … privacy-by-design initiatives, ensuring compliance and traceability across all datasets. Define standards for metadata management, lineage tracking, and access control. Collaborate with analytics and product teams to ensure data definitions and quality metrics are consistent across domains. Mentor engineers and analysts, fostering a culture of data stewardship and accountability. ...

implementation for our foundational data platform — from experimentation, event ingestion pipelines to our data lake, governance frameworks, and data observability and real-time analytics capabilities. You will work closely with data scientists, machine learning engineers, backend teams, and product leaders, providing deep technical expertise to ensure our data systems … data platforms at scale, encompassing both batch processing and real-time streaming architectures. Expertise in data warehousing concepts, advanced ETL/ELT processes, and analytics engineering best practices. Exceptional programming skills, particularly in Python, Scala, or Java, and deep expertise with cloud platforms (AWS, GCP, or Azure). Extensive experience ...

integrations between services and processes into complex environments Technical Skills [Required] Knowledge and/or vested interest in event driven applications, streaming and batch analytics technologies [Preferred] Knowledge and/or vested interest in cloud technologies; experience working with AWS [Required] Knowledge and/or vested interest in different data … management and visualization tools (SQL, Figma, Tableau, Business Objects, etc.) [Required] Knowledge and/or vested interest in complex data analytics supported by python and R [Required] Knowledge of Business Analysis best practices including requirements elicitation, solution evaluation, requirements analysis, gap analysis, and requirements decomposition [Preferred] Familiarity or experience working ...

right data. Turn messy questions into clear, evidence-based answers. What we’re looking for 5+ years in data engineering and/or analytics on production systems. Strong SQL and Python, with experience in data warehouses and pipeline tooling. Able to both build the plumbing and interpret what the numbers ...

creators of the transformation. 4. Process-Centric AI, Digital & Data Enablement Treat technology as an accelerator of process and capability; embed AI, advanced analytics, automation, and digital tools directly into streamlined, user-centric R&D workflows. Direct the Product Owner and Data Senior Lead in defining an integrated, value-driven … Frameworks: Skill in designing training, upskilling, and competence certification programs to raise workforce performance. Digital & Data Enablement: Understanding of how PLM, AI, and advanced analytics serve as enablers for modern, streamlined R&D processes. Preferred: Certification in Lean Six Sigma, Agile methodology (e.g., Scrum/SAFe), or Prosci Change Management. ...

collaborate with teams to recommend improvements to troubleshooting guides, content, and performance metrics. Bachelor's Degree Engineering, Computer Science, Information Technology (IT), Data Analytics/Science, Artificial Intelligence (AI), or related field AND 6+ years experience in technology industry, cloud, technical support, and/or customer experience engineering OR equivalent … experience 1+ year(s) of customer facing experience Bachelor's degree in engineering, Computer Science, Information Technology, Data Analytics/Science, Artificial Intelligence, or related field, AND at least 12 years of experience in the technology industry, cloud, technical support, and/or customer experience engineering; OR equivalent experience. 5+ ...

technologies, and Git. Proven ability to communicate technical concepts to a range of stakeholders and influence decision-making. Experience working across multidisciplinary data and analytics teams. Strong problem-solving capabilities and a track record of delivering high-quality analytical solutions. An interest in applying innovative data science techniques to real ...

ingestion pipelines using Azure Data Factory (ADF) Develop and support data warehousing solutions within Snowflake Design and optimise dimensional data models for reporting and analytics Support the migration and development of solutions within Microsoft Fabric Work closely with analysts and stakeholders to deliver high-quality data assets YOUR SKILLS ...

release governance Azure Core Platform Skills Hands‐on engineering across: Subscriptions, Management Groups, RBAC, Policy Virtual Machines, Storage, Backup, DR Azure Monitor, Log Analytics Private Endpoints and secure service exposure Implement secure‐by‐design configurations aligned to enterprise cloud controls Azure Kubernetes Service (AKS) Deploy, configure, and support AKS clusters … policies, and remediation activities Monitoring, BAU & Incident Management Support business‐as‐usual (BAU) cloud operations across environments Monitor cloud services using Azure Monitor, Log Analytics, and alerting tools Investigate incidents, perform root cause analysis, and implement fixes Maintain platform stability, uptime, and service performance Collaboration & Engineering Excellence Work closely with ...

user experience, adopting LEAN methodologies and automation technologiesStructure and implement Agile delivery methodsUnderstand and support in the implementation of relevant technologies such as: SAP Analytics CloudOracle, Hyperion, SAP BPC/SAC, S/4HANAAnaplan, Tagetik, BoardMicrosoft Power BICapabilities You'll Help DeliverData2InsightSupporting better performance management and insight, from transactional … wider business to make faster, smarter decisions through forward-looking, actionable insights. Establish the right processes, technologies, data, and skills to deliver valueEmbed analytics into performance management routines, driving accountability and decision-making at the right cadenceAI (Artificial Intelligence) enabled Financial TransformationLeveraging AI and emerging technologies to drive automation, predictive ...

functionally to mitigate risks to delivery Demonstrate the value of product across the organization through reliable, robust delivery Data-Driven Decision Making: Utilize data analytics and user feedback to inform product decisions. Implement user testing and methodologies to validate and improve solutions. Ensure robust metrics and KPIs to measure product … methodologies and creative solutions. Understanding of system architecture, APIs and data warehouses Familiarity with AI/ML technologies and prompt engineering. Knowledge of data analytics and user feedback methodologies. Desirable skills Familiarity with cross-organizational data strategies Proficiency in design and wireframing tools Experience working with technology and data science ...

Experience deploying infrastructure using automation and Infrastructure as Code, particularly Terraform. Experience designing AI-ready cloud and data platforms that support ingestion, storage, governance, analytics, model deployment, monitoring, and integration with enterprise applications. Understanding of generative AI solution patterns, such as retrieval-augmented generation, enterprise search, intelligent assistants, document processing … Deploy. Experience with Anthos, Apigee, Cloud Composer, Dataflow, Pub/Sub, Looker, Vertex AI, Model Garden, Document AI, Gemini, or other Google Cloud data, analytics, API management, AI, or generative AI services. Experience designing retrieval-augmented generation architectures using vector search, embeddings, enterprise data sources, access controls, and secure application ...

risks from both internal and external data. About You You will ideally have: A degree in Business, Marketing, Economics, Finance, Engineering, Mathematics, Data Analytics or a related subject. Strong numerical and analytical skills. Excellent Microsoft Excel skills, including Pivot Tables, XLOOKUP and data analysis. Good PowerPoint and Microsoft Office skills. ...

readiness is aligned with strategic adoption plan which outlines transition from legacy platform to strategic solution across the global footprint Working with the Quant Analytics team and FCD Analytics team for development and management of Machine learning, AI and rules based solution design and delivery Ensure strong processes exist ...

performance metrics. Required Qualifications 7+ years driving large-scale Data, AI, or digital transformation programmes. Proven track record delivering enterprise cloud data platforms, analytics, and machine learning solutions. Deep knowledge of data governance, cloud architecture, and the AI/ML lifecycle. Strong leadership, stakeholder management, and problem-solving skills ...

ability to shape the direction of Data 360, Salesforce’s data platform. The ideal candidate will bring deep expertise in data platforms, data analytics and MarTech, and cloud technologies, combined with a proven track record of driving revenue growth and building high-performing, resilient sales organizations. As AVP of Data … credible spokesperson who can flex between executive audiences and broad employee populations. Required Qualifications Expertise in data platforms, cloud technologies, and data analytics, with a strong ability to communicate complex technical solutions to both technical and non‐technical audiences in EMEA region Proven experience in leading second or third‐line ...

role. You'll operate in a hub-and-spoke model - accountable to your squad day-to-day, plugged into the wider Data & Analytics function through our Community of Technical Practice, where you'll level up, share what's working, and pull in deeper ML, engineering or commercial depth when your … instinct - you can connect work to P&L outcomes and defend value trade-offs. Active practitioner of applied AI/LLM tooling in your analytics or prototyping workflow. Excellent storytelling - credible into senior commercial stakeholders. It would also be greatifyou have: Familiarity with AI evaluation patterns - eval sets, scorecards, guardrails ...

valuation capabilities are designed to support flexible product propositions, including travel experiences, upgrades, bundles, partner offers and ancillary services. Collaborate with Data and Analytics teams to define product success metrics, commercial KPIs and performance reporting requirements. Use customer behaviour, conversion, basket, search and revenue data to identify opportunities to optimise … margin, customer value and operational efficiency. Experience working closely with Engineering teams to deliver scalable, reliable and reusable product capabilities. Experience using data and analytics to monitor product performance, customer behaviour, conversion, basket value and commercial outcomes. Comfortable working with ambiguity and complexity, with the ability to create clarity, structure ...

role: I'm looking for a Contract Data Architect/Consultant to lead a greenfield Power BI initiative , designing and implementing the reporting and analytics environment from the ground up as the first step in a wider transformation within a rapidly scaling business. Own the initial setup and architecture ...