This Data Architect position is a member of 3Cloud’s Managed Services team, responsible for ongoing development, support, escalations, and proactive maintenance for our client’s Azure Data Platform solution through the Managed Services teams processes, procedures, and tools. As a Data Architect, you will be a critical part of our core team that is essential to the success of our Managed Services division.
The Data Analyst responsibilities include creating data-rich dashboards. Ability to drill down data and visualize it through charts, reports, or dashboards. Writing Power BI DAX expressions and implementing Row-level Security (RLS). Developing custom BI products with scripting and programming languages such as R, Python, etc. The role involves data warehousing and business intelligence platforms, including data mining, cleaning, and munging.
CI&T seeks a talented, motivated, and experienced Mid Data Analyst to join our team and contribute on data-driven solutions for our customers. Responsibilities include data collection, analysis, modeling, and visualization using Power BI, ensuring data quality, collaborating with cross-functional teams, and maintaining documentation.
Collect and clean data from various sources to ensure accuracy and consistency. Perform exploratory data analysis to identify trends, patterns, and anomalies. Develop and maintain dashboards and reports to track key performance indicators (KPIs) and other relevant metrics. Lead the analysis during the experimentation phase of new initiatives to determine viability and success of hypotheses.
Seeking a Power BI Developer to join our team in supporting a wide-ranging technical support initiative for a large Federal agency. The role involves building Data Analytics enterprise models using Microsoft’s Power BI, developing tabular and multidimensional models, and creating self-service models. Responsibilities also include developing, publishing, and scheduling reports and dashboards to meet business requirements.
We are seeking a Power BI Report Developer with strong experience in Databricks to design, build, and optimize high-impact analytics solutions. In this role, you will develop interactive dashboards and data visualizations that help transform complex data into actionable insights for business decision-makers. You’ll collaborate closely with cross-functional teams, including data engineering, analytics, and operations, to ensure data accuracy, performance, and scalability.
This role involves leadership in building and leading a healthcare data analytics team, partnering with various teams to shape a data roadmap, owning analytic datasets across different sources, building automated self-service dashboards, supporting data governance initiatives, and leveraging data to support strategic projects, requiring 8+ years of experience in healthcare data analytics and 3+ years of management experience.
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 is a fully remote position responsible for Development of applications including management, enhancement, integration, implementation, maintenance, modernization, data integrity and infrastructure support for enterprise applications. Configure out-of-the-box workflows and create/maintain custom workflows. Build reports, dashboards, and views.
Looking for a role that motivates and challenges you? As Architect - BI & Analytics you will conduct customer discovery meetings to determine reporting requirements and work with customers on Power BI Licensing. You will also be creating Power BI solutions for customers including importing data from multiple sources, building reports and dashboards, and creating appropriate data elements using DAX and source queries.