Top Data & Analytics Jobs

Analyze existing systems, design cloud-ready data processing workflows, develop specifications and migration tools, validate implementations via automated testing, and report progress. Collaborate with stakeholders and developers to optimize BI/reporting solutions and complete relevant technical training.

Lead end-to-end measurement, optimization, and reporting for engagement and activation programs. Design and run A/B and multivariate tests, perform funnel, cohort, and segmentation analyses, build/validate dashboards and data pipelines, ensure data quality, and translate insights into executive-facing recommendations. Partner with product, engineering, creative, and client teams to drive measurable program improvements in regulated healthcare environments.

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.

The Quantitative Research Manager leads research to improve trading systems, develop new trading signals, and manage an alpha generating portfolio. Responsibilities include collaborative team research and effective communication across departments.

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.

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.

Analyze conversational call flows and large datasets to optimize IVR and generative AI systems. Perform call testing, annotation, dashboard monitoring, and deliver data-driven insights and presentations to improve self-service, reduce agent handling, and enhance customer experience.

As a Business Intelligence/Data Engineer, you will analyze data structures, implement data warehousing solutions, and design data visualizations while working with AI/ML services in cloud environments.

Gather business requirements and design, build, test, and implement a relational database using MS Access 2010, involving data migration and validation.

The Forward Deployed Product Manager engages with clients to understand their needs, translates data requirements, and drives product adoption and strategy to maximize data value.