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Altera, a member of the N. Harris Computer Corporation family, delivers health IT solutions that support caregivers around the world. These include the Sunrise™, Paragon®, Altera TouchWorks®, Altera Opal, STAR™, HealthQuest™ and dbMotion™ solutions. At the intersection of technology and the human experience, Altera Digital Health is driving a new era of healthcare, in which innovation and expertise can elevate care delivery and inspire healthier communities across the globe. A new age in healthcare technology has just begun.
Job Responsibility:
Develop and deliver advanced data reporting and analytics solutions to support operational decision-making
Design and optimize Power BI solutions, including DAX measures, Power Query transformations, and data modeling for performance and scalability
Write and maintain complex SQL Server queries, stored procedures, and functions, ensuring performance tuning and best practices
Build Python-based data pipelines, scripts, and API integrations for automation and advanced analytics
Work with Generative AI tools and architectures, including Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG) applications, and platforms such as Google Gemini and OpenAI
Leverage ServiceNow for reporting and analysis of ticketing data, providing operational insights and improvement opportunities
Utilize Microsoft Copilot and other AI assistants to improve team efficiency and decision-making
Document processes, share knowledge, and mentor team members to raise the overall capability of the team
Ensure deliverables meet quality standards and align with business objectives
Take ownership of assigned tasks, proactively communicating progress and risks to stakeholders
Actively contribute ideas for automation, innovation, and process improvement
Requirements:
Minimum 7 years of professional experience in analytics, operations consulting, or related roles
Proven expertise in Power BI (DAX, Power Query, data modeling)
Strong SQL Server skills with experience in writing and optimizing complex stored procedures and functions
Proficiency in Python for data manipulation, automation, and API integration
Knowledge of ServiceNow reporting and ticketing data analytics will be an advantage
Practical exposure to Generative AI, LLMs, Prompt Engineering, RAG architectures, and tools like Google Gemini and OpenAI
Familiarity with Microsoft Copilot or equivalent AI-powered productivity tools
Bachelor’s degree in Computer Science, Information Technology, or related field (Master’s preferred)
Excellent communication skills, both written and verbal
Strong collaboration and stakeholder management skills
Nice to have:
Knowledge of ServiceNow reporting and ticketing data analytics will be an advantage
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