Oversees and strategizes the data analytics needs of the organization, including analysis of population health metrics, network clinical, financial, utilization, and patient satisfaction in support of the optimization of Dignity Health MSO's performance relative to value-based contracts. Leads a team to provide and strategize results for hands on data science and analytics functions for Dignity Health MSO leadership. Collaborates with Dignity Health MSO leadership and provider network to achieve organizational goals.
Runs activities related to designing new approaches, methodologies and modelling comprehensive dashboards and understands the business needs and transforming them into a feasible technical solution plan. Thinking towards Automating the manual works. Supports the team to deliver activities related to designing new approaches and modelling comprehensive dashboards.
Manage and enhance the company's data warehouse, ensuring alignment with best practices and internal standards. Translate business requirements into efficient, reliable datasets within the Data Lake and oversee data layer management in Snowflake. Design and implement data models, views, and aggregates using dbt.
Support in designing and customizing reports and in modifying databases while performing basic tests. You will monitor data quality in pipelines and provide data support to clients. Work with developers to improve applications, follow best practices, and help build and maintain data pipelines for analysis and reporting. You will also support the development of data models and data integration processes and write simple and effective ETL processes under guidance.
We are seeking a highly skilled Lead Data Engineer with strong expertise in PySpark, SQL, and Python, as well as a solid understanding of ETL and data warehousing principles. The ideal candidate will have a proven track record of designing, building, and maintaining scalable data pipelines in a collaborative and fast-paced environment.
As a Senior Data Engineer, you will have a pivotal role in large projects, bringing your data architecture and engineering expertise to help Pennylane meet its high delivery standards. You will continue designing data platform, from data ingestion and validation to transport, storage, and exposure to consumers. You will collaborate with other data engineering teams, sharing technical knowledge and defining best practices.
The Data & Analytics Senior Consultant is responsible for being a partner to team members, a mentor, and directly enabling the growth of the Manufacturing Intelligence team at MCA. The Sr. Consultant is expected to lead project implementations, drive innovation, upskill and mentor junior teammates, and partner with leadership to drive continuous improvement. They will build client relationships and implement scalable and efficient technical architectures.
We are looking for people experienced with data architecture, design and development of database mapping and migration processes. This person will have direct experience optimizing new and current databases, data pipelines and implementing advanced capabilities while ensuring data integrity and security. Ideal candidates will have strong communication skills and the ability to guide clients and project team members. Acting as a key point of contact for direction and expertise.
Bring your passion and feel the energy in this Remote/Hybrid role across Australia. As an Informatica’s Intelligent Data Management Cloud (IDMC) Developer, you will specialize in leveraging the IDMC platform to ensure data quality, accessibility, and governance across the organization. This role is pivotal in designing, implementing, and maintaining data cataloging, data quality, data integration, and metadata management solutions using Informatica's suite of tools, focusing on Catalog, Data Quality & Reference360.
We are looking for an experienced Data Engineer to drive RDBMS, Warehousing and BigData solutions for our global BookData business. You will work with and be responsible for curating the largest English-language bibliographic metadata and book sales measurement data sets in the world. This is a remote position based in the UK with occasional travel required to central London.