technical sales. Preferred qualifications: Master's degree in Business, Statistics, Mathematics, Economics, Engineering or Applied Science, or a related field. 5 years of experience managing projects and working with analytics, software coding, or customer-side web technologies. 5 years of experience with data analysis and SQL/MySQL. 5 years of experience in a customer-facing role. 5 years of More ❯
and abroad. Position Overview: The Performance and Attribution Group is charged with ensuring prompt, accurate calculation and reporting for all portfolios and composites, as well as other performance-related analytics for a variety of purposes. The ideal candidate will have investment knowledge, strong technical, analytical, and communication skills, great attention to detail, and experience with data-related projects. Proficiency in More ❯
for the Global CMS Platform—aligned to company goals and evolving business needs. You will be supporting: Cross-Functional Alignment: Work closely with stakeholders across product, engineering, marketing, and analytics to ensure platform objectives are aligned and dependencies are proactively managed. Your Skillset: 5+ years of experience in product management, preferably leading CMS or platform products at a global scale. More ❯
for the Global CMS Platform—aligned to company goals and evolving business needs. You will be supporting: Cross-Functional Alignment: Work closely with stakeholders across product, engineering, marketing, and analytics to ensure platform objectives are aligned and dependencies are proactively managed. Your Skillset: 5+ years of experience in product management, preferably leading CMS or platform products at a global scale. More ❯
future responsibilities: Oversee the execution of the Data Platform roadmap, ensuring we deliver prioritised projects on time, on budget and to the required quality. Partner with our Head of Analytics Technology Solutions to build strong project teams and realize business priorities for the Data Platform. Produce materials and be a key stakeholder at our Data Platform SteerCo, speaking with authority More ❯
to grow and enhance Modo's product offering. We use Python and the standard scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.). Working closely with our product and analytics functions to ensure the product we deliver aligns closely with user needs and provides value to the wider Modo team. Qualifications: 3 to 5 years experience using Python (or another More ❯
will ensure that SWIFT tackles the most urgent and highest priorities, using data and your analytical skills. You will work on leading edge practices and technologies (agile teams, data analytics, container, cloud) supporting a worldwide critical infrastructure, highly secure and advanced financial organization. You will grow your cyber security knowledge, relate cyber to business benefits and learn from the leaders More ❯
unstructured data in the past to gain effective insights. - Solid grounding in statistics, probability theory, data modelling, machine learning algorithms and software development techniques and languages used to implement analytics solutions PREFERRED QUALIFICATIONS - History of successful technical consulting and/or architecture engagements with large-scale customers or enterprises. Experience migrating or transforming legacy customer solutions to the cloud. Familiarity More ❯
technologies (e.g. rollups, oracles, confidential computing) into clear, engaging language. Conduct keyword research and track trends, competitors, website traffic, and content performance using SEO tools like Ahrefs, Hotjar, Google Analytics, and Search Console. Support and evolve the SEO strategy with the Marketing Coordinator. Help structure and update website content to improve rankings and user experience using tools like Webflow and More ❯
that power Kharon's data-driven products. Model and serve data effectively by collaborating on schema design and data modeling across relational, NoSQL, graph, and search systems to support analytics and machine learning. Assist in integrating LLMs and other AI/ML tools into backend services to enhance data processing and product intelligence. Own it end-to-end. Design, develop More ❯
AI technologies to solve complex application testing and deployment challenges. Key job responsibilities Design AI-powered test automation frameworks that leverage machine learning for intelligent test case generation, predictive analytics, and autonomous test maintenance across mobile and cloud platforms Architect next-generation test infrastructure that combines traditional CI/CD pipelines with AI-driven decision making for optimized test selection More ❯
to grow and enhance Modo's product offering. We use Python and the standard scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.). Working closely with our product and analytics functions to ensure the product we deliver aligns closely with user needs and provides value to the wider Modo team. Qualifications: 3 to 5 years experience using Python (or another More ❯
to grow and enhance Modo's product offering. We use Python and the standard scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.). Working closely with our product and analytics functions to ensure the product we deliver aligns closely with user needs and provides value to the wider Modo team. Qualifications: 3 to 5 years experience using Python (or another More ❯
data and context to paint a complete picture for our clients-around the clock and around the world. In Data, we are responsible for delivering this data, news, and analytics through innovative technology-quickly and accurately. We apply product thinking, deep domain expertise, and technical insight to continuously improve our data offerings, ensuring they remain reliable, scalable, and fit-for More ❯
data and context to paint a complete picture for our clients-around the clock and around the world. In Data, we are responsible for delivering this data, news, and analytics through innovative technology-quickly and accurately. We apply product thinking, deep domain expertise, and technical insight to continuously improve our data offerings, ensuring they remain reliable, scalable, and fit-for More ❯
Analytical and Regulatory needs of Citi's Institutional Clients Group (ICG). The Fabric will bring together disparate data sources for the Global Markets organization and enable industry-leading analytics, client reporting, regulatory, surveillance, supervisory reporting(s) and data science solutions. It will also provide enhanced data quality controls , completeness and accuracy, reconciliations, entitlements, performance, management of data retention and More ❯
deployed on Firebase Functions, and making use of PubSub and Cloud Storage React frontend, using ShadCN for components, TailwindCSS for styling, React Query for state management Posthog for frontend analytics (events, sessions, feature flags, experiments) BigQuery as our data warehouse, with Metabase for data visualization. Production data and Posthog events both stream into it so data is in one place. More ❯
employee for the job. Duties, responsibilities, and activities may change at any time with or without notice. What You'll Bring Minimum Requirements Educated to degree standard in data analytics or a similar field At least three years of Tableau experience At least two years of SQL experience Tableau Desktop Specialist Certification Preferred: Tableau Public Link Tableau Data Analyst Certification More ❯
Managing and providing quality assurance, technical oversight, advisory and analysis as required to ensure successful delivery. Utilise cutting-edge technology and tools, such as advanced simulation software and data analytics platforms, to conduct comprehensive analysis, model scenarios, and robustly forecast future trends. Stay up-to-date with the latest industry trends, emerging technologies, and best practices in the energy and More ❯
culture of connecting, creating opportunity and delivering excellence shapes how we think, how we do things and how we help our people fulfil their potential. Our organisation Our Data & Analytics, Capital Markets and Post Trade divisions have a combined power that provides a comprehensive, integrated suite of trusted financial market infrastructure services to help our customers pursue their ambitions. Explore More ❯
and ability to work in high-pressure environments Requirements Undergraduate degree with a Major in Business, Economics, Engineering (Telecommunications, Industrial, Electrical, Electronic, Computer Science, Data Science), Finance, Management, Strategy, Analytics or a related field 4-5+ years of experience in management consulting or equivalent, of which at least 2 years should have focused on projects related to the TMT More ❯
IIBA (International Institute of Business Analysis)
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 - all while More ❯
resonate with everyone from NHS leaders to frontline clinicians. As a Senior BI Analyst, you'll play a pivotal role in this transformation. You'll: Lead on self-serve analytics and empower others to do the same. Bring data into the heart of how we go to market and grow. Build data fluency across the organisation so that every team More ❯
or CAC accountability Expert in Meta Advantage+, Google Performance Max & Search Ads 360 Proven track record building server-side attribution stacks & LTV bidding loops a passion for data and analytics, being able to hack around in python/SQL and build models Analytical storyteller comfortable in board meetings Experience in credit/fintech, lending, or regulated B2C sectors Scaleup experience More ❯
than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn More ❯
