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.

Provides analytical and lifecycle support for U.S. Navy electromagnetic warfare, decoy, and SEWIP systems. Applies operations research, data science, logistics analysis, reliability and maintainability engineering, mathematical modeling, simulation, optimization, and what-if analysis to improve system readiness, operational availability, resource allocation, and lifecycle performance. Develops performance metrics, evaluates alternatives, analyzes complex datasets, and delivers recommendations and decision-support products to technical and program leadership.

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.

Analyze alternative data to uncover macroeconomic insights relevant to rates and foreign exchange markets. Develop expertise in market-driving themes and KPIs, produce written and visual research, communicate findings to investment professionals, and collaborate with data scientists, engineers, sourcing teams, and Compliance to create actionable investment research.

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, AI, and data science, and translates complex information into actionable executive recommendations. Builds a globally integrated, high-performing team and evolves its capabilities, operating model, technology, and partnerships to improve decision quality and measurable business outcomes.

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 analytical solutions, expose datasets, support data fusion, and use data science techniques to detect trends and patterns. Requires communication skills and experience supporting the Special Operations community.

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 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.

This role involves delivering analytics for Finance & Strategy, developing data pipelines, and producing insights to inform leadership decisions.

Lead and mentor analytics engineers while building scalable data foundations, instrumentation, experimentation practices, AI-assisted analysis tools, ETL/ELT pipelines, and self-service datasets. Partner with data scientists, engineers, product managers, designers, and researchers to improve data quality, documentation, metric investigations, and insight-driven decision-making. Drive analytics engineering strategy, workflow optimization, and responsible use of AI across analysis and development processes.

Lead paid media analytics for Life Company, using SQL/Python and advanced statistics to measure and optimize paid social/search and AI-powered search. Build audience segmentation, run incrementality/experimentation, create visualizations and recommendations, and partner with marketing to drive acquisition and engagement.

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.

Analyze business data, conduct exploratory and ad-hoc analyses, build reporting frameworks, and monitor data science models. Use SQL, Python, Snowflake, and dbt to clean and model data, investigate trends and anomalies, evaluate hypotheses, and communicate actionable insights through visualizations, reports, and presentations to technical and non-technical stakeholders.

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 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.

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.

Data Engineering Interns build data pipelines, models, semantic models, and dashboards using Microsoft Fabric, Snowflake, SQL, Python, and Power BI. Responsibilities include ingesting and profiling data, improving data quality, translating business questions into reusable datasets, developing data agents, refining reports, and presenting project findings to the Data & Analytics team.

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.