Top Analytics Jobs in Baltimore, MD

The role focuses on improving application quality of experience through data analytics and engineering, collaboration with teams, and effective communication.

As a Senior Analytics Engineer, you'll design metrics, generate insights, and drive analytics initiatives to support Netflix's ads business.

Seeking a Strategic Data Analyst & Global Compensation Consultant to provide insights on HR data, develop compensation strategies, and drive organizational performance through data storytelling.

The Fraud Analytics Intern will analyze data, create fraud features, develop predictive models, and collaborate with data scientists in cloud environments.

Design, deliver, and consult on analytics projects in consumer lending, including modeling, portfolio analysis, and marketing analytics with hands-on coding expertise in Python and Spark.

As Director of Data & Analytics, you'll build a modern data stack, manage dashboards and reporting, ensure governance, and lead a data team.

As an Analytics Lead, you will conduct research, collaborate on client strategies, mentor team members, develop insights, and create measurement products to guide decision-making.

The role involves designing and delivering end-to-end data and analytics solutions on Azure for enterprise clients, requiring data engineering experience.

The RevOps Analytics Manager is responsible for data analysis, insights generation, data governance, and supporting sales and marketing strategies through advanced analytics and forecasting.

The role involves building and optimizing data pipelines, managing data integration, supporting analytics, and collaborating with cross-functional teams to enable data-driven decisions.

The Associate Data Analyst will support data analysis, develop forecasting models, automate reporting, and analyze trading performance metrics.

The Senior Manager, Marketing Analytics will develop campaign performance metrics, enhance reporting capabilities, and optimize marketing strategies while collaborating with various teams.

Lead a team of analytical engineers to create optimized data solutions, mentor members, and collaborate on data-driven projects using AWS technology.

Lead and grow the analytics team, collaborate with leaders to shape experiments, dive into data using SQL and Python, and present insights to executives.

Lead evaluation of new data assets, develop data strategies, build predictive models, support M&A, and engage clients. Manage analytics teams and promote innovation.

The Director of Data Analytics leads analytics strategy and operations, overseeing business intelligence projects and managing a team. Responsibilities include driving forecasts, statistical modeling, and cross-functional collaboration to enhance reporting and customer engagement.

The Actuarial Consultant will lead pricing initiatives, collaborate with technology and data teams, and perform complex actuarial analyses for Personal Lines products.

The Fraud Analytics Lead will design and implement strategies to mitigate fraud risks, leveraging advanced analytics and collaborating with cross-functional partners.

Lead the development of analytics and BI functions within Snorkel's Data-as-a-Service team, focusing on data modeling, team management, and driving strategic business decisions based on analytics insights.

The Risk Portfolio Analytics Manager leads risk reporting and analytics, ensuring a data-driven view of risk exposure and portfolio performance. Responsibilities include producing reports for governance bodies, monitoring performance, enhancing fraud analytics, and improving reporting frameworks.

The Executive Head leads the Terrain team in research and analytics, providing insights for customers and stakeholders in the agricultural sector, enhancing Association value propositions through strategic guidance, relationship-building, and expert analysis.

The Director of Institutional Research & Academic Analytics leads data collection, analysis, and reporting to support strategic planning, compliance, and decision-making in higher education.

The Senior Data Analytics / Business Analyst will collaborate with various departments to drive revenue growth by analyzing data, conducting experiments, and implementing action plans based on statistical insights.

The Senior Operations Analyst will analyze data to identify trends, develop strategies for operations, and collaborate with various stakeholders to improve processes and metrics.

The Associate Director, Pipeline Analytics will lead data-driven insights, predictive modeling, and portfolio prioritization in oncology R&D to optimize asset development and commercialization strategies.