Top Data & Analytics Jobs in Baltimore, MD

The Director of Data Analytics will lead the analytics roadmap, develop success metrics across departments, and manage a growing data team while ensuring data governance.

The role involves collecting, analyzing, and visualizing data for investment research, utilizing web scraping, data tools, and data science techniques.

The EDI Growth Specialist at Alvys focuses on creating and maintaining EDI data mappings, translating various data formats, collaborating with team members, and validating mappings for EDI integrations.

The Fundraising Data Manager will manage data processing for clients, develop custom SQL scripts, create reports, and manage client CRM.

The Lead Data Analyst will manage analytics workflow, synthesize data, create visualizations and dashboards, and communicate insights to support decision making across teams.

Lead a data science team to develop insights from autonomous vehicle data, create scalable platforms for data access, and collaborate with cross-functional teams on performance measures.

In this role, you'll analyze data to enhance product growth, design experiments, and collaborate with teams to inform business decisions and improve user experience.

The Decision Scientist II collaborates with teams to drive product development and enhance user experience by analyzing data and designing experiments.

As a Decision Scientist II, you will analyze complex data sets, define KPIs, collaborate with various teams to drive product growth, design experiments, and communicate insights effectively to stakeholders.

As an Advanced Analytics Intern, you'll conduct data analysis, collaborate with cross-functional teams, and present findings to drive business decisions.

The role involves deploying ForgeRock's identity technology, analyzing access patterns, developing IAM strategies, and integrating with privileged access management services.

The role involves defining reporting requirements, mapping data fields, collaborating on reporting logic, and identifying automation opportunities. Requires experience in data analysis and business intelligence.

The Sr. Data Analyst at Mode Mobile will analyze complex datasets, identify trends, improve data quality, and support cross-functional decision-making to drive business growth.