Top Data & Analytics Jobs

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.

Drive measurement, experimentation, and analytical frameworks across product and engineering. Build scalable datasets, metrics, pipelines, and dashboards; analyze ML and LLM performance; surface operational risks and reliability insights; and influence product and infrastructure strategy through clear, data-driven recommendations.

The Data Engineer will gather and process large datasets, develop algorithms, conduct data analysis, and improve predictive models for business decisions.

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

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

Lead a team of data scientists to optimize Databricks infrastructure using data science for capacity planning, reliability, and performance improvements.

The Senior Data Analyst/Strategist will drive data strategy and governance initiatives for the Army, ensuring alignment with objectives. Responsibilities include advising senior leaders, developing AI/ML strategies, analyzing complex data, and maintaining policy compliance.

As an Analytic Methodologist, you will lead analytics projects, develop and evaluate methodologies, and support the Department of Defense with your expertise in data science, knowledge graphs, and ontologies.

The role involves designing and developing tools in Python for trading and risk management, maintaining data pipelines, and collaborating with teams to enhance trading strategies using advanced techniques.

The Data Sharing Manager facilitates cross-brand data sharing, managing use cases, stakeholder communication, and process adherence to drive organizational goals.

As a Quantitative Research Analyst, you will develop models, conduct complex data analysis, and work with stakeholders to optimize investment strategies.

Support motor retail pricing through data analysis, model development, and optimisation. Work across Risk Pricing, Insights, Trading and Projects to implement pricing features, run optimisation in Radar, develop ML-driven insights, monitor KPIs, and coordinate cross-team pricing initiatives.

The Director of Statistics leads statistical initiatives in phase 3b/4 and RWE studies, provides expertise in HTA and regulatory compliance, and collaborates with cross-functional teams. Responsibilities include statistical analysis plans, Bayesian methodologies, and mentoring junior staff.

As a Senior Data Scientist, you will apply machine learning and AI algorithms, conduct feature engineering, and collaborate with teams to optimize models and provide data insights.

As a Data Scientist, you'll leverage machine learning and AI to analyze data, build models, and develop intelligent services, collaborating with various stakeholders.

The Executive Director will oversee data science and data management strategies, leading capabilities across commercial insights and analytics while collaborating across multiple organizational functions.

Perform model audits and quantitative analyses, evaluate risk and effectiveness of models, and communicate findings to stakeholders.

As a Performance Engineer, you'll optimize distributed systems for machine learning, solve systems problems, and contribute to high-performance ML projects.