Top Data & Analytics Jobs

The Data Architect/Data Modeler is responsible for data architecture, data quality management, data governance, and data integration, as well as leading tasks associated with data design and analytics.

The Business Intelligence/Data Cube Developer will generate reports and data cubes, write custom ETL jobs, and support analytics for a federal agency.

The Digital Business Analyst - Logistics role involves supporting logistics processes, analyzing data for improvements, and managing business projects within the IT and logistics spectrum.

The Sr. Business Analyst will coordinate with stakeholders to develop business requirements, ensure compliance with project standards, analyze processes, and manage project documentation while working flexible hours.

The role involves teaching various data analytics courses, engaging in scholarly research, and providing service to the university and community, all while integrating Christian principles.

Design, deliver, and support organization-wide BI applications and data warehouse platforms. Perform data analysis, statistical and predictive modeling, and develop scalable BI solutions. Translate business requirements into functional specifications, work with stakeholders, and manage change requests to meet project deadlines.

The role involves collecting and implementing Google Analytics for applications, focusing on redesigning existing implementations, along with consulting experience.

The Statistical Programmer analyzes large datasets using SAS and SQL, and applies various statistical methods such as regression and multivariate analysis, while collaborating effectively with team members.

As a Senior Marketing Data Analyst, you'll analyze revenue impacts from marketing, optimize growth strategies, evaluate channels, and establish scalable reporting systems using SQL and AI tools.

Lead the analytics data layer: design and operate a ClickHouse-backed warehouse, define and validate trusted metrics, build customer-facing React dashboards and internal Grafana/self-serve tooling, and ensure data quality, lineage, and documentation for telemetry-derived insights.