Top Data & Analytics Jobs

The Scientific Implementation Associate works with R&D teams to onboard customers, configure scientific workflows on the Uncountable platform, and improve data accessibility for experiments.

Lead design and delivery of enterprise Power BI solutions and a Power BI Center of Excellence. Build scalable data models, integrate BI with centralized data platforms and ERP systems, govern BI assets, adopt DevOps and Agile practices, mentor teams, and drive analytics adoption to enable data-driven decisions across the organization.

The Solutions Architect IV - Data Analytics will engage with stakeholders, define data architecture best practices, design data integration workflows, develop enterprise BI dashboards, and oversee cloud data warehouse optimizations.

As Director of Data Strategy & Analytics, you'll lead data initiatives for Retail clients, build relationships, and develop B2B measurement strategies while mentoring a team.

The Business Analyst collaborates with stakeholders to analyze processes, gather requirements, drive system enhancements, and improve operational efficiency through data-driven insights and reporting.

Manage business intelligence and analytics initiatives for sales, transforming data into actionable insights and driving strategic decisions.

Manage and mentor a team of machine learning engineers, oversee ML project development, collaborate with product management, and drive product milestones.

The Principal Data Engineer will lead data architecture initiatives, design scalable data systems, and oversee data standards across teams while ensuring high-quality data infrastructure and guiding engineering teams.

Design and execute SQL-based ETL processes to migrate legacy public safety data into Mark43. Collaborate with customers, contractors, and internal teams to map legacy schemas, handle edge cases, ensure data fidelity, and improve migration tooling while managing timelines and stakeholder relationships.

The Senior Business Analyst will analyze healthcare data, manage requirements for data warehousing projects, and contribute to Business Intelligence initiatives. Responsibilities include data aggregation, understanding database structures, EDI claims, and conducting data quality checks.