Top Data & Analytics Jobs

The Senior Business Analyst role at Vantor involves transforming complex data into actionable insights, improving analysis speed, and mentoring staff. Requires strong experience in requirements analysis and business process modeling.

The Big Data Analyst will evaluate datasets, improve analytical methods, support software developers, and assist end-users to enhance decision-making processes.

Design and develop geo-spatial solutions, perform GIS analyses, manage databases, and lead GIS projects primarily for intelligence applications.

Develop, curate, and publish authoritative geospatial data products in ArcGIS Portal; build Python data-processing pipelines; and create Tableau dashboards and web maps. Manage metadata, hosted feature layers, and data discoverability while partnering with mission users to transform large spatial and tabular datasets into operational visualizations and automated workflows.

Develop, maintain, and optimize ArcGIS Enterprise and ArcGIS Pro datasets, services, and geoprocessing workflows. Perform spatial analysis and cartography, automate workflows (ModelBuilder/Python where appropriate), publish and manage GIS services, troubleshoot GIS systems, and collaborate with developers and stakeholders to integrate and document scalable geospatial solutions supporting mission planning.

Lead HRIS analyst responsible for designing, building, and governing Workday reports, dashboards, worksheets, discovery boards and security. Partner with HR and business leaders to define metrics, deliver C-suite reporting, analyze workforce trends, support audits, UAT, releases, and enterprise datalake work. Implement data governance, access controls, troubleshooting, and automation (including OpenAI Codex) while creating documentation, training, and improving HR reporting and system performance.

Lead design and implementation of enterprise data engineering solutions for Object-Based Intelligence. Build and optimize scalable ETL/ELT pipelines, integrate heterogeneous data, enable ontology-driven knowledge graphs (RDF/OWL/SPARQL), ensure data quality, governance, lineage, and support cloud/containerized platforms. Provide technical leadership, documentation, and mentorship to government stakeholders and support AI/ML data needs.

Senior data engineering SME responsible for designing and implementing enterprise-scale data architectures, pipelines, and integration frameworks to support ontology-driven Object-Based Intelligence. Work includes Semantic Web technologies, knowledge graphs, cloud-native/containerized deployments, data governance, quality, and lineage, supporting AI/ML workflows, performance optimization, automated validation, documentation, and technical leadership/mentoring for government stakeholders.