Top Data & Analytics Jobs

As an Applied Research Engineer, you will drive the development of NLP systems, analyze data, collaborate with teams, and ensure efficient model integration.

The Financial Systems Analyst manages NetSuite, optimizes business system performance, supports users, ensures data integrity, and collaborates on process improvements.

Lead development and ownership of BigQuery data assets, pipelines, and observability. Build and optimize dbt models, CDC/file/streaming ingestion, and streaming replication. Partner with engineering and business teams to enable self-service analytics, advanced analytics (LTV, churn, attribution), and reliable real-time data products.

Seek a Lead Analytics Engineer to design and build scalable data solutions, oversee data engineering, and collaborate with cross-functional teams to meet data needs.

The Data Analyst will analyze trends, design experiments, maintain dashboards, and enhance game integrity using data-driven insights to improve the player experience.

The Fraud Analyst will monitor gaming customers for fraudulent activity, analyze user behavior, and develop reporting tools while collaborating with stakeholders to enhance fraud prevention strategies.

Lead and grow a data engineering team that designs, builds, tests, and operates large-scale data pipelines and warehouses. Partner cross-functionally to translate requirements, ensure data quality, observability, SLAs, security, and governance, and drive automation and performance for analytics, ML, and product use cases.

The Assistant Manager will lead data governance and analytics initiatives, overseeing the data warehouse infrastructure, analytics processes, and ensuring compliance and quality in data management.

The Data Scientist will develop end-to-end models using automated data pipelines, evaluate business opportunities, and collaborate with teams for optimization tests.

The role involves improving logistics processes using SAP TMS, managing projects and team mentoring, and interfacing with various stakeholders.

The role involves configuring and developing EtQ Reliance for Quality Management, supporting operations, and leading projects by translating business requirements into solutions.

The role involves designing data models, engineering pipelines, managing data quality, and partnering with stakeholders for analytics projects.