Top Data & Analytics Jobs

Responsibilities include data analysis, systems design, Netezza scripting, ensuring data security, technical support for ETL processes, and defining data quality plans.

As a Data Scientist, you will analyze blockchain data to derive insights, develop and deploy predictive models, and improve product offerings.

The role involves working with large datasets, applying BI and data science techniques, utilizing SQL, R, and Python, along with strong communication skills.

Build reliable data models and semantic layer for AI-powered analyses. Support Product, Finance, and Customer Success with SQL-based analytics, BI dashboards, and stakeholder storytelling. Standardize data team processes, prioritize work, and collaborate across company to enable data-informed decisions.

The role involves designing and developing customizations for IBM Infosphere MDM, focusing on data management architecture and multi-domain solutions.

The Category Business Analyst supports Category Business Managers by analyzing product lines and vendor processes to enhance customer satisfaction and improve brand strength.

Design, build, and operate data services and pipelines to ingest, standardize, and deliver clinical data for product, analytics, and ML. Tune Spark workloads, enforce data quality, monitor production systems, and partner with product and engineering. Participate in on-call support.

The Data Steward will perform data transformations and related activities in Databricks, maintain code, gather requirements, and ensure data quality.

The Collibra Lead will define Data Governance Organization, develop a business glossary, lead workshops, ensure alignment with executive vision, and design technical architecture.

As a Data Engineer, you will architect and maintain the data systems, create pipelines and integrations, and ensure data quality for analytics and reporting.