Top Data & Analytics Jobs

Develop and deploy advanced statistical and ML models on large-scale alternative datasets to generate investable signals, partner with investment teams, evaluate data quality, and drive novel data-driven research with commercial impact.

Develop and implement advanced algorithms, apply statistical techniques, collaborate with clients, assess technologies, and mentor team members.

Lead regional sales analytics for the UK, build dashboards and diagnostic reports, execute analytics roadmap using Snowflake, dbt, Tableau and AI, provide strategic insights to sales leadership, partner with Finance and Product, and mentor peers.

The role involves leading a team to develop AI and ML solutions, manage customer interactions, and analyze large data sets using various technologies.

Lead the strategy and execution of real-world data capabilities, focusing on data lifecycle management, vendor relationships, and collaboration with various teams to deliver analysis-ready datasets.

Develop advanced algorithms, apply statistical techniques, support clients with data analysis, contribute to emerging datasets, mentor junior associates, and advance thought leadership through research.

The VP Global Grid Modeling will lead global data strategy, manage high-performing teams, ensure quality datasets, and engage with customers for insights in energy markets.

The role involves strategic business analysis, technical expertise in cloud platforms, data engineering, analytics, and project management to drive data initiatives.

Lead hands-on analytics initiatives for Global Supply Chain using BI, ML/AI, and process improvements. Collaborate with stakeholders and IT to design, implement, and scale reporting, dashboards, POCs, and SOPs. Manage projects, train staff, and improve manufacturing data quality to drive operational performance.

Leads the Bank’s mortgage analytics and insights organization, overseeing managers and analysts who evaluate MPF and residential mortgage portfolios. Provides strategic analysis of portfolio performance, credit and market risks, mortgage trends, and regulatory developments. Advises senior leaders, regulators, rating agencies, and the Board; oversees reporting, regulatory submissions, advanced analytics, AI, automation, and process improvements. Responsible for organizational design, talent development, performance management, succession planning, and executive communication.

The Senior Data Scientist will solve complex problems, mentor junior team members, conduct analyses, build models, and collaborate with various business units to enhance data science capabilities and strategies.

Lead Data & Analytics Product Development, focusing on identifying, developing and monetizing data products, while overseeing a team and shaping AI strategies.

Lead a team of data scientists to enhance infrastructure through data science, focusing on capacity planning, performance optimization, and customer experience.

Leads specialty exposure management for non-natural catastrophe and liability portfolios across insurance lines. Oversees analysts performing pre- and post-bind modeling, portfolio production, reporting, regulatory submissions, data quality, and model validation. Partners with underwriting teams to optimize risk-adjusted capacity deployment, presents portfolio insights to senior stakeholders, manages outsourcing relationships, and advances exposure management tools, workflows, AI, automation, and analytics capabilities. Requires extensive insurance or reinsurance catastrophe modeling experience and strong leadership, risk governance, SQL, and analytical skills.

Analyzes supply chain operations, develops KPI dashboards, recommends solutions, supports business decisions, and assists with integrating bolt-on software into an existing ERP system. Requires a master's degree in industrial engineering, operations management, or supply chain management, plus specified graduate coursework. No professional experience is required.

As a Sr Director of Consumer Analytics, you will lead insights into consumer behavior, manage a team, and influence senior leadership with data-driven strategies to enhance business performance.

The Director leads global HR analytics, driving innovation and delivering data-driven strategies to enhance colleague experiences, operational excellence, and decision-making through advanced analytics and automation.

The role involves building and scaling a Closed-Loop Design Program that enhances pre-sales engineering through data science and analytics in supply chain automation.

The Senior Data Scientist will design and deploy time-series forecasting models, collaborate with stakeholders, and operationalize models in cloud environments, focusing on demand planning across various industries.

As an Associate Engineer in Data Science, you will leverage data analysis and machine learning to solve complex problems and develop inspiring digital products.

The Staff Data Scientist will drive data-informed monetization strategies across subscriptions, advertising, and virtual currencies, collaborating with product and engineering teams and defining success metrics.

The Director of Data Enablement and Reporting will lead data governance and analytics efforts for the R&D organization, ensuring AI readiness and compliance while collaborating with stakeholders and driving a data-centric culture.

The Data Product Manager will lead cross-functional teams to create high-impact data products, translate business needs into technical requirements, and manage product roadmaps. Responsibilities include collaborating with stakeholders, optimizing product performance, and ensuring compliance with industry standards.

Agap Technologies Inc. offers online Data Science training, providing real-time instruction, interview training, and support for OPT applications with a professional environment.

Lead a team in data analytics to identify and mitigate compliance risks in lending using statistical modeling and machine learning. Oversee fair lending reviews and collaborate with cross-functional teams to implement data-driven strategies in compliance operations.