5,251 to 5,275 of 13,733 Analytics Jobs

global product and engineering function delivering world-class software solutions through the Ascend Platform. ESS is structured around core business areas: Analytics, Decisioning, Identity & Fraud (ID&F), and Solutions. ESS is comprised of ~1,100 people across 14 countries, almost 80% of whom are engineers.This role is for Fraud & Identity ...

usage and performance data to identify growth opportunities and optimize AWS solutions for advertising and publishing workloads including ad serving, programmatic platforms, and data analytics- Collaborate with internal teams (Solutions Architects, Professional Services, Product), ISVs, and technology partners to develop customized AWS solutions that meet advertising and/or publishing ...

dedicated to fostering a collaborative, inclusive, and healthy environment that promotes flexibility and accountability. As a leading provider of technology, communications, and data and analytics solutions to businesses around the world, it is critical that we understand, embrace, and operate in a multicultural environment. Every associate has unique strengths, which ...

.Experience with CI/CD for mobile (e.g., build automation, signing, distribution, feature flags, release trains).Experience with observability and production support practices: crash analytics, performance monitoring, logging, alerting, and operational readiness.Experience leading multiple engineers/teams (people leadership or strong matrix leadership), including planning, prioritization, and delivery management.J.P. Morgan ...

share your knowledge, elevate the technical bar of the team, and help others communicate their findings more clearly.You are a power user of product analytics tools like Mixpanel or Amplitude, capable of setting the standard for how we track and visualise user behaviour across the platform.What ...

teams to showcase Optimizely’s statistical capabilities in external communications. Knowledge and Experience 3+ years of industry or educating experience with experimentation, data science, analytics, etc. Understanding of and ability to explain experimentation, randomized control trials, and inference, particularly aspects of high throughput testing such as multiple hypothesis testing, sequential ...

Value Realization:Lead the execution of large, complex data and AI transformation programmes (involving multiple concurrent workstreams like Data Engineering, ML/AI, and Analytics), ensuring on-time, on-budget, and high-quality delivery.Relentlessly focus on maximizing ROI by linking technical deliverables directly to measurable business outcomes and tracking value ...

. Experience building AI-powered proof of concepts using low-code/no-code tools, lightweight scripting, or enterprise AI platforms. Familiarity with product analytics, experimentation frameworks, value-stream measurement, and outcome-based performance tracking. Understanding of enterprise AI governance, model evaluation, guardrails, traceability, and secure AI adoption practices. About ...

performance metrics, and develop a structured framework for measuring product performance. Manage product roadmaps and release milestones, incorporating user insights, industry trends, and data analytics to optimize the user experience. Work with cross‐functional teams to shape and implement app product strategies based on user needs and business plans that ...

complementary).Experience building AI-powered proof of concepts using low-code/no-code tools, lightweight scripting, or enterprise AI platforms.Familiarity with product analytics, experimentation frameworks, value-stream measurement, and outcome-based performance tracking.Understanding of enterprise AI governance, model evaluation, guardrails, traceability, and secure AI adoption practices.About the role: This ...

microservices. Excellent knowledge of software such as Microsoft Office Suite, Miro, Jira and Confluence. Excellent knowledge of digital tools such as CRM, CMS, Analytics and Optimization tools. Understanding business technology mapping. Continuous Improvement mindset (Kaizen) and eager to learn the new knowledge Strong experience and understanding of IT technologies. Strong ...

data privacy, security, and regulatory constraints, and the ability to balance compliance with commercial outcomes.Desired Skills & CompetenciesExperience from Product Management, Management Consulting, Strategy, Data Analytics or related roles. Strong analytical skills and comfort working with data to inform decisions and tell clear stories.Clear, structured communication and a collaborative working style.Strong ...

deliver complex transformation programs and realize transaction synergies. AI and Digital Innovation Assess the impact of M&A activities on AI capabilities, data products, analytics platforms, and digital assets. Identify opportunities to leverage AI, GenAI, and Agentic AI to accelerate integration, improve decision making, and automate business processes. Establish governance ...

programming activities. Proven leadership in building and scaling enterprise data services, driving cloud transformation, optimising performance, capacity, and delivering AI enabled operational and analytics platform.**Responsibilities:*** Lead the design, engineering and delivery of next generation cloud data services supporting data pre-processing, advances matching engines, AI/GenAI services ...

privacy, security, and regulatory constraints, and the ability to balance compliance with commercial outcomes. Desired Skills & CompetenciesExperience from Product Management, Management Consulting, Strategy, Data Analytics or related roles. Strong analytical skills and comfort working with data to inform decisions and tell clear stories. Clear, structured communication and a collaborative working ...

with digital wallets, PayPal, BNPL and alternative payment methods. Knowledge of payment decline codes and issuer behaviour. Experience using SQL, BI tools or payment analytics platforms. Understanding of fraud controls and the relationship between acceptance and fraud risk. Experience supporting PSP migrations, payment orchestration or new payment-method launches. Experience ...

competitors)Leverage AI and machine learning capabilities to enhance product decision-making, identify customer behavior patterns, forecast trends, and uncover unmet needs.Apply AI-powered analytics to validate product assumptions, track adoption, and surface opportunities for improvement.Collaborate with engineering to explore and integrate AI/ML features that add value ...

.Experience with CI/CD for mobile (e.g., build automation, signing, distribution, feature flags, release trains).Experience with observability and production support practices: crash analytics, performance monitoring, logging, alerting, and operational readiness. Experience leading multiple engineers/teams (people leadership or strong matrix leadership), including planning, prioritization, and delivery management.J.P. ...

. Experience building AI-powered proof of concepts using low-code/no-code tools, lightweight scripting, or enterprise AI platforms. Familiarity with product analytics, experimentation frameworks, value-stream measurement, and outcome-based performance tracking. Understanding of enterprise AI governance, model evaluation, guardrails, traceability, and secure AI adoption practices. About ...

i.e. strategic, bottleneck) and further relationship management. Work with the Data & Insights team to continuously improve the quality and depth of supplier data, support analytics enablement, and ensure real-time visibility into supplier status, activity, and performance. Cross-Functional Collaboration: Act as the integration point for supplier-related workflows across ...

Hands-on experience operating containerized services on Kubernetes in at least one major cloud (AWS, GCP, or Azure). Experience with data warehousing or analytics technologies such as Snowflake, Iceberg, Trino, or Postgres. Experience designing, deploying, and operating ML models in production, including familiarity with MLOps tooling such as MLflow. ...

competitive domain and technologies. Broad understanding of the following: DaaS/VDI Applications Enterprise Browser Enterprise Mobility Management Networking Enterprise Security Data Management Data Analytics Strong understanding of business processes and their implementation into enterprise applications Analytical and negotiation skills, particularly at the C-level Ability to work independently ...

dedicated to fostering a collaborative, inclusive, and healthy environment that promotes flexibility and accountability. As a leading provider of technology, communications, and data and analytics solutions to businesses around the world, it is critical that we understand, embrace, and operate in a multicultural environment. Every associate has unique strengths, which ...

Proficiency in Microsoft 365 (Excel, Teams, SharePoint, Outlook) and project or ticketing tools such as Jira Preferred PMP certification Experience with healthcare data management, analytics, governance, quality, or data integration programs Familiarity with federal or state health programs and agencies Experience with agile or hybrid delivery frameworks Work Environment/ ...

risk and control concepts, including how technology can support evidence-based assurance, control testing and alert-based review. Experience using automation, AI-enabled tools, analytics or low-code/no-code solutions to improve monitoring, assurance or reporting activity. Understanding of responsible AI use, including the need for human judgement ...