Product Implementation Analyst, Consultant
Role details
Job location
Tech stack
Job description
The Custom Product Consultant team is responsible for the creation of custom fully insured and self-funded employer group plan selections including creating plan designs in the product platform system, providing member documents and internal benefit requirements. The Product Implementation Analyst, Consultant will report to the Senior Manager. In this role, you will be responsible for assignments of medium to high complexity while applying comprehensive understanding of the company's healthcare products, functions and regulatory guidelines to create plans and plan documents for RFPs, renewals, and new implementations. In this role, you will work cross functionally with a focus on medium to high complex plan designs along with other activities to support business metrics associated with production as defined by the business needs of the organization., Employees living more than 50 miles from an office location will work with their manager to determine in-office time based on business need. External hires must pass a background check/drug screen. Qualified applicants with arrest records and/or conviction records will be considered for employment in a manner consistent with Federal, State and local laws, including but not limited to the San Francisco Fair Chance Ordinance. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, national origin, sexual orientation, gender identity, protected veteran status or disability status and any other classification protected by Federal, State and local laws.
Requirements
- Requires a bachelor's degree or equivalent experience
- Requires 7 years of experience in the related area.
- Strong knowledge of employer group health plans, benefits, federal and state mandates, and regulatory guidelines
- Strong analytical and problem-solving skills required
- Competency in Microsoft Excel and Word required
- Ability to manage high volumes and multiple priorities with a high degree of ambiguity