Top Data & Analytics Jobs

Lead the development of Transaction Monitoring models, leveraging advanced analytics to enhance detection of suspicious activities while managing a global team.

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

As a Senior Data Analyst, you will analyze data to provide insights, mentor clients, and use tools like Tableau and Palantir to visualize data, guiding decision-making for impactful outcomes.

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.

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

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.

The Product Analyst will enhance transaction enrichment products by analyzing data, defining requirements, and making recommendations to improve user experience and product performance.

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 Senior Research Engineer will curate large datasets, automate data pipelines, optimize queries, and support data-driven research impacting business outcomes.

Lead a team of data scientists to enhance patient experiences through data insights, predictive modeling, and analytics for healthcare solutions.

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 Lead, Data Science Internal Audit will implement statistical models, develop data frameworks for audits, mentor junior members, and present findings to stakeholders, enhancing audit practices through analytics.

Build scalable, production-ready data solutions and automations. Perform ad-hoc and deep-dive analyses using Python, PySpark, and SQL. Collaborate cross-functionally, use Databricks and Tableau to generate insights and optimize client marketing performance.

Build scalable, automated data solutions and perform ad-hoc quantitative analyses to identify and forecast trends. Collaborate cross-functionally to optimize client marketing performance using Python, PySpark, and SQL, and produce insights and dashboards with Databricks and Tableau.

The Head of Data Science - Fraud Insights will lead research on fraud analytics, design predictive studies, manage a team, and communicate findings to influence strategy and policy.

Perform advanced data extraction and statistical analysis using SQL, SAS, R or Python; develop reports, KPIs, and dashboards; mentor team members; communicate findings to business partners and support operational decision-making.

Lead eCommerce analytics by building dashboards and self-serve reports, measuring funnel and revenue impact, performing deep-dive analyses, integrating and validating multi-source data, defining KPI standards, supporting experimentation, using AI-assisted tools to automate reporting, and communicating insights to web, marketing, and commerce stakeholders.

Lead design and implementation of an automated fraud rule inventory and testing platform. Use data science and analytics to evaluate rule efficacy versus client friction, perform gap analyses, build synthetic test datasets, manage platform product requirements and QA, and deliver metrics and governance to senior management while supporting new product launches in crypto, digital assets, and banking.

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

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.

Lead modernization of survey-based datasets, oversee methodological innovations, ensure data quality, mentor a team, and act as a trusted advisor.

The Director, Data Insights will bridge technical data and business decisions by translating complex data into persuasive narratives, advise executives, and transform organizational culture toward data-driven practices.

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