Implementation Data Analyst

The Implementation Data Analyst, under the purview of the Technical Manager, is integral to the precise configuration of new account setups. This role demands an analytical mindset that transcends mere data entry, understanding the nuances of dependencies, configuration decision points, and the organization's hierarchies. Accuracy is paramount, as even minor discrepancies can have significant financial ramifications. The chosen candidate will be a harmonious blend of a business analyst, QA analyst, and data analyst, but with a creative twist. Though the focus leans more towards data entry rather than engineering, it's the complexity and critical importance of the task that differentiates this role from typical data entry positions.

Key Responsibilities:

• Methodical provisioning of new accounts, ensuring accurate platform configuration.
• Maintain an accuracy benchmark of at least 95%.
• Liaise with both internal and external parties, ensuring coherent communication and timely delivery that exceeds set expectations.
• Recognize and address configuration challenges, prioritizing as necessary.
• Drive and align data management objectives to ensure efficient and effective adherence to system protocols.
• Achieve individual and collective delivery targets.
• Safeguard against accessing Protected Health Information (PHI) and Personally Identifiable Information (PII).
  
  

Qualifications:

• At least 2-4 years in a data analyst role.
• Proven track record of data entry and analysis.
• Innate problem-solving ability complemented by effective communication of findings and solutions.
• Agile and adaptable in a dynamic environment.
• Autonomy in task execution with a clear understanding of escalation protocols.
• Team player with the ability to collaborate effectively.
• Unwavering commitment to deadlines, coupled with a keen sense of prioritization.
• Prior experience in implementation or support roles is a notable advantage.
• Familiarity with healthcare and health insurance sectors is beneficial but not mandatory.