Senior Data Analyst

February 15

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Altera Digital Health

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Altera Digital Health is a health technology company that provides innovative electronic health record (EHR) solutions and services tailored for hospitals and health systems. Their offerings, including products like Paragon, Sunrise, TouchWorks, and Denali, are designed to improve patient care, streamline workflows, and enhance financial outcomes for mid-size and community healthcare organizations. Altera emphasizes a commitment to enhancing healthcare delivery through advanced technology and expert support, aiming to help healthcare providers reach their full potential and achieve improved patient outcomes.

Electronic Health Records • Financial Management and Operational solutions • Analytics and Intervention solutions • Digital healthcare • Patient Engagement

5001 - 10000 employees

⚕️ Healthcare Insurance

☁️ SaaS

🤖 Artificial Intelligence

📋 Description

• Altera, a member of the N. Harris Computer Corporation family, delivers health IT solutions that support caregivers around the world. • The primary purpose of this role is to analyze large-scale data sets to discover trends, identify performance and quality metrics, and uncover optimization opportunities as well as design and develop enterprise-wide data analysis and reporting solutions and fulfill ad hoc reporting requests. • Analyze enterprise data warehouse and business intelligence systems to identify and document complex data mappings (ETL), relations, business rules, as well as functional and non-functional requirements. • Gather reporting and analysis requirements and translate into data models. • Provide analytical support to various departments within the organization including formulating metrics and quality targets. • Analyze and resolve data quality problems through appropriate process design strategies, including error detection and proposing error correction procedures, using automation wherever possible. • Recommend methods to collect, analyze and manage data to improve data quality and effectiveness of data systems. • Act as primary point of contact working with stakeholders to understand systems, processes and business needs. • Work closely with Legal, Compliance and Security/Privacy to ensure the highest level of Healthcare data protection and quality. • Support the Development Team during the software build process (consultancy, requirements definition, design, documentation, review, etc.). • Support the sales / pre-sales process by ensuring data meets the client needs and analyzing development requirements from potential new sales prospects. • Define and develop dashboards/reports and ad hoc queries as requested in a simple and understandable format.

🎯 Requirements

• Bachelor's Degree in a relevant Program of study, or equivalent preferred • 7+ years relevant work experience; 2-3 years at the Expert level or equivalent experience preferred • Required Technologies: SQL, Excel, PowerBI, MicroStrategy, SSIS, SSRS, XML, PowerShell, Google Charts, JavaScript • Data Warehousing and Business Intelligence Systems: Profound knowledge of data storage, retrieval, and analysis systems. • ETL Processes: In-depth understanding of Extract, Transform, Load (ETL) processes for integrating and processing data. • Statistical and Analytical Methods: Strong foundation in statistical methods to apply in data analysis for uncovering trends and insights. • Data Analysis and Visualization: Proficiency in analyzing large datasets and presenting data in visual formats using tools like Tableau, Power BI, or similar. • Programming and Scripting: Expertise in programming languages such as SQL, Python, or R for data manipulation and analysis. • Critical Thinking and Problem-Solving: Excellent analytical skills for solving complex problems and providing practical solutions. • Communication Skills: Superior verbal and written communication skills, able to clearly explain complex data-related concepts to non-technical stakeholders. • Translating Requirements into Data Models: Ability to convert business requirements into functional data models and analytics reports. • Ensuring Data Quality and Accuracy: Capability to implement and maintain quality control processes ensuring data accuracy and validity. • Database Management Systems (DBMS): Familiarity with both relational and non-relational database systems like SQL Server, Oracle, or MongoDB. • Data Protection and Compliance: Knowledge of legal and regulatory requirements in data handling, especially relevant in healthcare. • Project Management: Skills in managing data analysis projects from start to finish, ensuring timely delivery. • Multitasking: Ability to handle multiple projects simultaneously without compromising on quality or deadlines. • Collaboration: Strong interpersonal skills to work effectively with diverse teams including development, sales, and legal. • Adaptability to New Technologies: Quick learner with the capability to adapt to new data analysis tools and technologies as they emerge.