Top Data & Analytics Jobs

The role involves developing and calibrating financial models, enhancing analytics frameworks, collaborating across teams, and applying quantitative methods to improve business performance.

The Senior Manager will lead model validation efforts, including economic forecasting and risk management models, while collaborating with business leaders and managing a team of analysts.

Lead the ML Data Enablement team to define strategy and execution for accelerating third-party and internal data onboarding, enforce data quality and SLAs, build metadata and lineage standards, and deliver scalable data infrastructure and workflows to reduce time-to-production for ML models.

Responsible for validating market risk models and ensuring their accuracy. Engage with various stakeholders, communicate findings, and maintain model integrity while leveraging innovative analytical technologies.

As a Machine Learning Engineer, you will enhance internal libraries for deep learning, collaborate with researchers, and optimize workflows for cost savings.

The Data Analyst will improve AI technologies by testing products, performing data analysis, and ensuring quality assurance of natural language datasets.

The Data Annotation Expert analyzes and annotates natural language datasets, tests AI products, and improves machine learning model accuracy. Requires collaboration and effective communication skills.

The Manager, Growth Analytics & Marketing Science will build and evolve marketing measurement frameworks, drive analytics, and optimize marketing strategies through data and AI.

Design, build, and maintain forecasting and portfolio optimization models for U.S. power markets; analyze market outcomes, track supply/demand/congestion dynamics, and apply statistical, optimization, and ML methods to inform commercial decisions.

As a Senior Machine Learning Engineer, you'll build and deploy ML models for risk and fraud detection, leading technical efforts and collaborating cross-functionally.

The Strategy & Analytics Senior Lead will drive product decisions through analysis, partnering with cross-functional teams to generate insights and enhance operational processes.

The Procurement Analytics Lead analyzes procurement data using AI and analytics tools, creates reports, identifies process improvements, and collaborates with stakeholders to drive efficiency and compliance.

The Senior Director leads R&D data strategy, focusing on AI and data governance to enhance portfolio decision-making, ensuring data quality and operational excellence.

The role involves leading the enterprise strategy for data analytics and technology modernization, driving data-driven decision making, and managing digital transformation initiatives while building a high-performing team.

The Data Scientist II role involves data collection, analysis, and modeling to develop insights for financial crime risk, utilizing data science techniques and collaborating with diverse teams to create sustainable solutions.

This role involves developing deep learning models for time-series prediction, conducting research, mentoring, and collaborating with cross-functional teams.

Assist in the development and calibration of statistical models for credit decisions, loss forecasting, and performance testing. Support documentation, enhancements, and data evaluation processes while collaborating with senior peers.

The Associate will design and develop BI dashboards, assist with control testing, automate processes, collaborate with stakeholders, and maintain BI applications.

The Data Architect III is responsible for leading data strategies, overseeing data governance, and mentoring team members. They analyze data needs, develop BI solutions, and communicate effectively with stakeholders, all while ensuring high data maturity and alignment with organizational goals.

The role involves leading advanced analytics in HR to build a data-driven culture, utilizing predictive models, and overseeing data integration and visualizations for workforce insights.

Join Nextdoor's machine learning team to build data-intensive products, develop ML models, analyze datasets, and enhance user experiences. Collaborate closely with product and data science teams.

The IT Director will lead data engineering and business intelligence initiatives, ensuring reliable access to data and overseeing analytics capabilities. The role demands collaboration with IT and business teams, management of platform stability, and leadership of technical teams, driving automation, data quality, and governance.

The IT Director of Business Intelligence leads data engineering and analytics initiatives, overseeing BI platforms, team development, and strategy deployment to enhance data accessibility and insights.

The IT Director leads data engineering and business intelligence operations, manages teams, ensures reliable data access, and integrates AI capabilities to support analytics and reporting.

Lead development and execution of data-driven audit strategies for insurance and PBM clients. Analyze large datasets, design analytics solutions, create dashboards, perform statistical profiling and sampling, ensure regulatory compliance, manage project budgets and client communications, and coach junior staff to improve examination efficiency and effectiveness.