Experienced Data Modeler for Remote Healthcare Data Architecture and Analytics Projects

Transforming Healthcare Data Management with Workwarp

At Workwarp, we're revolutionizing the healthcare industry by harnessing the power of data to drive insights and improve patient outcomes. As a leader in healthcare data solutions, we're seeking an experienced Data Modeler to join our team on a remote basis. If you're passionate about data modeling, have a strong background in healthcare, and are looking for a challenging role that offers flexibility and growth opportunities, we want to hear from you.

About the Role

As a Data Modeler at Workwarp, you will play a critical role in designing and implementing data architectures that enable our clients to make data-driven decisions. Your expertise in data modeling, SQL, and database design will be crucial in helping us deliver high-quality data solutions to the healthcare industry. You'll work closely with our team to analyze business needs, develop data models, and implement data governance policies that ensure data quality and integrity.

Key Responsibilities

• Discover, analyze, and scope data requirements to create high-level process models that represent processes for the area under analysis.
• Analyze existing business system data, perform data profiling, and conduct source analysis to identify data quality issues and opportunities for improvement.
• Create detailed mapping documents covering source-to-target mapping, transformation logic, and harmonization to ensure seamless data integration.
• Design data architecture and strategy using Entity-Relationship modeling to produce a design best suited for retrospective analysis of data.
• Determine the right set of facts and surrounding dimensions suited to perform the desired type of analysis or queries against the data.
• Develop data solution diagrams, including data flow diagrams and use case models, to communicate complex data concepts to stakeholders.
• Utilize your expertise in SQL to query and analyze data, identify trends, and develop insights that inform business decisions.
• Collaborate with stakeholders to understand business needs and translate those needs into an effective data model that meets their requirements.

Essential Qualifications

To be successful in this role, you should have:

• A minimum of 5 years of experience in data modeling, with a proven track record of delivering high-quality data models that meet business needs.
• At least 2 projects completed as a Data Modeler, with experience working on complex data architecture projects.
• Intermediate to advanced skills in SQL, with the ability to write complex queries and optimize database performance.
• 4+ years of experience in database modeling, with expertise in Entity-Relationship modeling and Star/Snowflake Schema modeling.
• 3+ years of experience in metadata management, with knowledge of metadata management tools and best practices.
• Healthcare domain knowledge is a must, with exposure to HL7, FHIR, or OMOP considered a plus.

Preferred Qualifications

To stand out from the crowd, you'll have:

• Experience implementing IBM UDMH Model - Atomic or Dimensional Model.
• Exposure to one or more enterprise-level modeling tools, such as IDA, ERWin, or ER-Studio.
• Advanced understanding of data normalization and denormalization techniques.
• Advanced experience in Master Data management/systems and Reference Data management/systems.
• Experience with modeling process creation and implementation.

Skills and Competencies

To excel in this role, you'll need:

• Strong analytical and problem-solving skills, with the ability to analyze complex data sets and identify insights.
• Excellent communication and collaboration skills, with the ability to work effectively with stakeholders to understand business needs.
• Strong technical skills, including proficiency in SQL, data modeling, and database design.
• Ability to work independently in a remote environment, with a strong self-motivation and discipline.

Career Growth Opportunities and Learning Benefits

At Workwarp, we're committed to helping our team members grow and develop their skills. As a Data Modeler, you'll have opportunities to:

• Work on complex data architecture projects that challenge you to think creatively and develop innovative solutions.
• Develop your skills in data modeling, SQL, and database design, with access to training and development resources.
• Collaborate with experienced professionals who can mentor and guide you in your career.
• Stay up-to-date with industry trends and best practices, with opportunities to attend conferences and workshops.

Work Environment and Company Culture

At Workwarp, we pride ourselves on our collaborative and dynamic work environment. As a remote team member, you'll be part of a global community that values:

• Flexibility and work-life balance, with the ability to work from anywhere.
• Innovation and creativity, with a culture that encourages experimentation and learning.
• Collaboration and teamwork, with regular virtual team meetings and opportunities to connect with colleagues.
• Diversity and inclusion, with a commitment to creating a workplace that's inclusive and respectful.

Compensation, Perks, and Benefits

We offer a competitive salary and benefits package that includes:

• A comprehensive compensation package that reflects your experience and skills.
• Opportunities for professional growth and development, with access to training and development resources.
• A flexible work environment that allows you to work from anywhere.
• A collaborative and dynamic team culture that values innovation and creativity.

Join Our Team

If you're a motivated and experienced Data Modeler looking for a challenging role that offers flexibility and growth opportunities, we want to hear from you. Apply now to join our team and be part of a company that's transforming the healthcare industry through data-driven insights.

Don't miss this opportunity to take your career to the next level. Submit your application today and let's discuss how you can contribute to our mission.