Top Data & Analytics Jobs

As a Decision Analytics Consultant, you'll leverage RWD and RWE analytics to support pharmaceutical clients by generating insights and conducting analyses for evidence generation and HEOR studies.

Leads Mattel’s global insights and analytics organization, integrating consumer, shopper, retail, cultural, market, and business intelligence. Shapes enterprise strategy, identifies growth opportunities and risks, establishes measurement frameworks, applies predictive analytics and AI, and translates complex data into actionable executive recommendations. Builds scalable intelligence capabilities, develops multidisciplinary talent, and drives transformation, decision rigor, and measurable business impact across the enterprise.

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.

Supports SOCOM data initiatives by gathering requirements, developing methodologies, generating software requirements, testing tools, and discovering, aggregating, manipulating, and visualizing disparate data sources. Works with customers and stakeholders to identify solutions, expose datasets, support data fusion, and use data science techniques to identify trends and patterns. Requires communication skills and experience supporting Special Operations-related missions.

Teach undergraduate and graduate information systems and analytics courses, including course preparation, student assessment, grading, advising, and office hours. Participate in departmental, university, professional, and community service, contribute to student learning assessment, and maintain professional activity through scholarship, conferences, pedagogy, or industry practice.

Leads a specialized Business Intelligence and reporting team supporting AML data governance and financial crimes risk management. Oversees reporting, data controls, regulatory reviews, audits, risk remediation, stakeholder relationships, project intake, resource planning, and data visualization standards. Provides strategic direction, executive-level insights, regulatory guidance, and people leadership while ensuring compliance, data quality, continuous improvement, and timely delivery of BI initiatives.

Leads North American insights, analytics, and AI delivery supporting underwriting decisions, portfolio management, operational efficiency, and customer outcomes. Translates business priorities into measurable data products and analytics initiatives, oversees AI-enabled transformation, ensures responsible AI governance, and partners with underwriting and enterprise Data & Analytics teams. Develops high-performing teams, drives adoption, promotes agile and product-oriented delivery, and ensures scalable, reusable solutions that generate business value.

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.

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.

Maintain and build a Metadata Application Profile (MAP) to integrate metadata from multiple data stores into a search and discovery system. Assess metadata quality, run queries using UI/API/Postgres/Elasticsearch, create design documents for new data stores, coordinate with data stewards, and investigate metadata discrepancies and tickets to enable enterprise-wide imagery and data discovery.

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.

Manages natural science and biological datasets by compiling, standardizing, validating, documenting, querying, and maintaining databases and GIS data. Produces reports, maps, summaries, and customized data outputs; maintains metadata, archives, backups, and data catalogs; supports database access and retrieval issues; and trains users. The role coordinates with agencies, researchers, organizations, and the public to ensure accurate, consistent, and accessible data for policy, planning, management, and research.

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.

Designs, develops, tests, maintains, and optimizes data pipelines and software systems using SQL, Python, and Apache Airflow. Supports technical projects, documents systems, troubleshoots application performance, evaluates user requirements, and develops technical specifications. Collaborates with epidemiologists, statisticians, and researchers, while mentoring staff and translating academic research needs into software solutions.

The Data Engineer will develop and document research data products, contribute to scientific papers and findings, lead research efforts, coordinate with academic partners, and propose independent research goals. The role also includes project management, technical documentation, meetings, and collaboration with statistical developers, data engineers, and researchers. Experience with Apache Airflow, SQL, data visualization, web development, statistics, analytics, and agile software development is desired.

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 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.

Oversee the full lifecycle of research data, including quality, governance, metadata, publication, archival, and FAIR compliance. Partner with multidisciplinary researchers, develop documentation and scalable data infrastructure, support knowledge graph and AI/ML integration, and provide training. The role also requires navigating responsible data-sharing decisions involving privacy, safety, sensitivity, and dual-use risks while collaborating with software engineers and leadership.