8 results
FiltersPlay a key role in designing, developing, and executing migration strategies. Write and optimize complex SQL queries (preferably MySQL) to support data extraction. Collaborate with business analysts, developers, architects, and other stakeholders.
The Epic Clarity Data Analyst will use SQL to analyze clinical, operational, financial, and administrative data generated in Epic’s electronic health record (EHR) and practice management (PM) systems and stored in Epic’s back-end Clarity data model. This role involves leveraging Epic’s in-app reporting tools and building business intelligence dashboards to enable evidence-based decisions. The analyst will also develop data quality tests and build externally facing reports.
This position supports PN Operations by gathering, cleaning, and analyzing data to produce accurate reports and dashboards to inform decisions. Working under guidance, this role maintains data quality, documents processes, responds to ad-hoc requests, and develops proficiency in data sets, spreadsheets, and BI tools.
Estamos em busca de uma pessoa Senior Data Engineer para atuar em um projeto internacional , na construção e evolução do ecossistema de dados, garantindo escalabilidade, qualidade e governança em todas as camadas. You will develop and maintain robust and scalable data pipelines and build and evolve data models using good engineering practices.
In this role, you will develop interactive data visualizations that enable business insights and build a scalable analytical framework to monitor data quality across the organization. You will also work with data teams to deploy data quality across pipelines, set up processes to evaluate data issues, and create data quality standards, communicating insights to drive improvements and promote a data quality mindset.
The Senior Data Engineer is a critical technical leader in our modern data ecosystem, responsible for designing and delivering high-scale data solutions, mentoring junior engineers, and shaping the architectural backbone of our analytics infrastructure. This role balances execution with engineering excellence to support fast, reliable, and trustworthy data delivery, including designing integration architectures, developing reusable libraries, and implementing monitoring and testing systems.
Seeking a Mid QA Engineer to focus on Data & ETL Testing. Requires strong understanding of Data Warehousing (DW), ETL, and Data Quality concepts. Proficiency in SQL, RDBMS, and ETL validation. Experience validating reports and dashboards is needed.
As Head of Quality, the primary goal is to build and lead a customer-facing intelligence product line that delivers actionable insights from Everseen’s Vision AI solutions and complementary third-party data sources. Transform complex operational and performance data into clear, impactful analytics and reporting tools that provide retail customers with unparalleled visibility. This role is pivotal in creating a new revenue stream by developing and scaling a market-leading intelligence offering.