Entry Level Remote Health Informatics Jobs in Philadelphia, PA

At Enlyte, we combine innovative technology, clinical expertise, and human compassion to help people recover after workplace injuries or auto accidents. We support their journey back to health and wellness through our industry-leading solutions and services. Whether you're supporting a Fortune 500 client or a local business, developing cutting-edge technology, or providing clinical services you'll work alongside dedicated professionals who share your commitment to excellence and make a meaningful impact. Join us in fueling our mission to protect dreams and restore lives, while building your career in an environment that values collaboration, innovation, and personal growth.

Be part of a team that makes a real difference.

One day in the office in Wayne, PA is preferred.

• Primary duty will be to accept data from multiple sources, both internal and external, and independently analyze the data to understand the causes and effects of each variable
• Make recommendations on how to maximize use of the services and vendors represented by the data
• Analyze data for annual customer program reviews and create communication tools for use in presenting the results to internal and external customers – will include in-person presentation at external customer meetings with audiences ranging from operational to senior executive
• Manage intake of data from internal and external sources
• Understand the business requirements of the use of the data
• Provide analysis of the data

• Bachelor's Degree in Data Analytics or similar discipline 
• Healthcare, Insurance, or Worker's Compensation industry experience highly preferred
• 2 years of experience with data analytics
• Experience with GenAI tools preferred (Co-Pilot)
• Customer presentation experience required 
• Strong Excel skills
• Experience with BI tools such as Power BI
• Self-directed, highly organized and able to independently coordinate multiple tasks
• Strong communication skills to be able to influence others with the story of what you’re seeing in the data

We’re committed to supporting your ultimate well-being through our total compensation package offerings that support your health, wealth and self. These offerings include Medical, Dental, Vision, Health Savings Accounts / Flexible Spending Accounts, Life and AD&D Insurance, 401(k), Tuition Reimbursement, and an array of resources that encourage a lifetime of healthier living. Benefits eligibility may differ depending on full-time or part-time status. Compensation depends on the applicable US geographic market. The expected base pay for this position ranges from $65,000 - $85,000 annually, and will be based on a number of additional factors including skills, experience, and education.  

The Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with disability.  

Don’t meet every single requirement? Studies have shown that women and underrepresented minorities are less likely to apply to jobs unless they meet every single qualification. We are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

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• Bachelor's Degree in Data Analytics or similar discipline 
• Healthcare, Insurance, or Worker's Compensation industry experience highly preferred
• 2 years of experience with data analytics
• Experience with GenAI tools preferred (Co-Pilot)
• Customer presentation experience required 
• Strong Excel skills
• Experience with BI tools such as Power BI
• Self-directed, highly organized and able to independently coordinate multiple tasks
• Strong communication skills to be able to influence others with the story of what you’re seeing in the data