Engineer II, Business Intelligence
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Job Description Job Title: Engineer II, Business Intelligence Experience: 3-5 Years Job Location: Remote, India Company Overview Ensemble Health Partners India, we're at the forefront of innovation, leveraging cutting-edge technology to drive meaningful impact in the Revenue Cycle Management landscape. Our future-forward technology combines advanced AI-driven analytics with tightly integrated data ingestion, workflow automation and business intelligence solutions on a modern cloud architecture. These AI-powered solutions are actively running in production, continuously optimizing processes and delivering data-driven insights at scale. We have the second-largest share in the RCM space in the US Market with 10000+ professionals working in the organization. With 10 Technology Patents in our name, we believe the best results come from a combination of skilled and experienced team, proven and repeatable processes, and modern and flexible technologies. As a leading player in the industry, we offer an environment that fosters growth, creativity, and collaboration, where your expertise will be valued, and your contributions will make a difference. Position Overview: The Engineer II, Business Intelligence plays a pivotal role in transforming complex data into actionable insights. This position involves developing and optimizing Power BI reports, building and maintaining data pipelines, and implementing automation tools. This role will require both analytical depth and technical expertise in data engineering, business intelligence, and automation. The Engineer II, Business Intelligence will develop scalable analytics solutions. Roles & Responsibilities Design, develop, and maintain Power BI reports with complex data models to meet business requirements. Perform root cause analysis on data discrepancies and production issues, ensuring data integrity and accuracy. Experience with solutioning for tables within Azure Databricks for use across BI platforms. Leverage Power Automate to design and deploy automation solutions for routine business tasks and data workflows. Utilize SQL, DAX, and M language skills to manipulate and analyze large datasets. Collaborate with cross-functional teams to ensure requirements are clear and deliver data-driven solutions. Implement and follow standard SDLC processes and agile methodologies. Engage in continuous improvement initiatives to enhance reporting capabilities and data quality. Leverage Databricks and Visual Studio Code for data engineering tasks and workflow automation. Required Skills: Bachelor's degree in Computer Science, Information Systems, or a related field. 2 - 3 years of experience with relational databases and advanced T-SQL. 2-3 years of experience developing Power BI reports with proficiency in DAX and M languages. 3+ years of experience SQL, including Azure Databricks and Azure Data Factory. 2+ years of experience with Power Automate and automation tools. Hands-on experience in Visual Studio Code and Git (experience with CI/CD pipelines, AI solutions, and Python is a plus). Experience with tools such as DAX Studio, Performance Analyzer, and Vertipaq. Excellent problem-solving, analytical, and communication skills. Healthcare or revenue cycle management experience is strongly preferred. Why Join US - We adapt emerging technologies to practical uses to deliver concrete solutions that bring maximum impact to providers bottom line. - We offer you a great organization to work for, where you will get to do best work of your career and grow with the team that is shaping the future of Revenue Cycle Management. - We have our strong focus on Learning and development. We have the best Industry standard professional development policies to support the learning goals of our associates. Associate Perks + Benefits - Health Benefits and Insurance Coverage for family and parents. Accidental Insurance for the associate. - Term Insurance for the associate. - Professional Development Program and Reimbursements. - Company Swags- Welcome Packages, Work Anniversary Swags
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