Top Data & Analytics Jobs

The Director, Decision Scientist will shape product strategy, define risk policies, leverage data for continuous improvement, and maximize customer LTV.

The role involves designing and maintaining data pipelines and analytical tools, conducting statistical modeling, and collaborating with teams on energy systems analysis.

Design, build, and operate high-scale streaming and batch data pipelines using Kafka, Flink, and Airflow. Optimize Redshift and Iceberg/Athena performance and cost. Ensure data quality, observability, SLAs, and serve reliable datasets/APIs. Mentor engineers and collaborate cross-functionally to deliver low-latency, production-grade telemetry and analytics data assets.

The Data Architect will design and implement an enterprise data cloud, develop data models, and lead data strategy initiatives for clients. Responsibilities include requirements gathering, database design, and creating data integration solutions, ensuring effective client collaboration and project success.

Lead data management and migration projects, develop and maintain data architecture for on-premise and cloud systems, and enhance data processes.

The Director of Marketing Analytics will lead the marketing analytics function, turning data into insights to optimize marketing performance and drive growth. Responsibilities include building a team, developing measurement strategies, and collaborating with various departments to enhance marketing ROI across channels.

The Business Analyst will gather requirements, analyze data, and develop documentation to support data products and ensure governance standards. They will collaborate with cross-functional teams and facilitate user acceptance testing.

The role involves guiding customers through cloud data warehousing transformations, providing technical leadership, and assisting in production planning and deployment in various data warehousing technologies.

The Senior Data Architect will design scalable data architectures on Oracle Cloud, develop data pipelines, and mentor teams while ensuring data quality and governance.

As a Sr. Data Engineering Consultant, you will build and optimize scalable data solutions and mentor teams while collaborating with clients on data modernization projects.