Top Data & Analytics Jobs

Seeking IT professionals for free training and placement services in BI consulting and Tableau development, ensuring strong foundational skills and communication for technical solutions.

The Data Scientist will analyze data to optimize products, drive business decisions, develop models and algorithms, and enhance customer experiences.

As a Senior Forward Deployed Data Engineer, you will design and implement data pipelines for media agency clients, manage technical delivery, and ensure data security while mentoring junior engineers and communicating effectively with stakeholders.

The role involves leading programming efforts for clinical trials, developing SAS programs for datasets and regulatory submissions, and managing CRO partnerships. Responsibilities include ensuring data quality and regulatory compliance, with oversight of TFL outputs and eSubmission components.

Lead and grow a team of data engineers and analysts, own the data platform roadmap, design and operate reliable data pipelines across streaming, APIs, and various stores, set on-call and production monitoring practices, remain technically hands-on, and drive cross-functional collaboration to deliver analytics and infrastructure work.

The Senior Database Developer designs, optimizes, and maintains databases, migrating data, developing queries, and ensuring security standards are met. They collaborate with teams and support development in DB-related tasks.

Design, build, and maintain ETL/ELT data pipelines and domain-oriented data products to support a Digital Thread. Ensure data quality, governance, mapping, and discoverability. Apply software-engineering practices (version control, testing, CI/CD, IaC) for production deployments. Integrate manufacturing and operational systems and prepare AI/ML-ready datasets for analytics and predictive use cases.

The Senior Technology Architect - Big Data will design and implement solutions using Hadoop, Java, and Python, focusing on data warehousing and BI projects with extensive experience in the software lifecycle.

Develop methods for optimizing AI applications, implement automated evaluation systems, and work with clients to adapt tools for various domains.

The Data Support Analyst will provide support for project tools and data, manage project financials, and prepare management reports.