Healthcare Data Analyst (SQL, Claims & Reconciliation)

Pyramid Consulting, Inc.; Los Angeles (CA); Remote; USD 55,000 - 59,000; Full time

Job summary

Pyramid Consulting, Inc. is seeking a Healthcare Data Analyst with strong SQL skills and experience in claims data to support reconciliation and data quality efforts on a remote, US-based assignment.

The role demands approximately 5 years of SQL experience and 5–10 years in the healthcare industry, with the ability to investigate data anomalies and communicate findings to cross-functional stakeholders.

Qualifications

• Approximately 5 years of professional SQL experience.
• Approximately 5–10 years of healthcare industry experience.
• Strong hands-on SQL query-writing and data investigation skills.
• Experience with healthcare claims data, claims processing, or claims monitoring.
• Ability to work independently in a remote setting.

Responsibilities

• Write and execute SQL queries to extract, compare, validate, and analyze data.
• Investigate data anomalies and identify inconsistencies across datasets.
• Perform data reconciliation between files, databases, data extracts, and source systems.
• Monitor healthcare claims submissions and investigate discrepancies.
• Document investigation results and reconciliation findings.
• Support continuous improvement of data quality and reconciliation processes.

Skills

SQL

Data analysis

Data reconciliation

Data quality

Claims data

Education

College degree

Job description

Immediate need for a talented Healthcare Data Analyst (SQL, Claims & Reconciliation). This is a 06+months contract opportunity with long-term potential and is located in U.S(Remote).

Job ID: 26-33716

Pay Range: $40 - $43/hour. Traveler benefits as per agency package. (Benefits vary by vendor and assignment.)

Key Responsibilities

• Write and execute SQL queries to extract, compare, validate, and analyze data.
• Investigate data anomalies and identify inconsistencies across datasets.
• Perform data reconciliation between files, databases, data extracts, and source systems.
• Monitor healthcare claims submissions and investigate discrepancies or missing records.
• Conduct data quality checks to identify inaccurate, incomplete, duplicate, or inconsistent information.
• Research data issues, determine potential root causes, and communicate findings.
• Analyze healthcare and claims-related datasets to identify exceptions and data integrity concerns.
• Partner with cross-functional stakeholders to resolve data discrepancies and support business operations.
• Document investigation results, reconciliation findings, and recommended actions.
• Support continuous improvement of data quality and reconciliation processes.

Key Requirements and Technology Experience

• College degree or equivalent relevant educational background, as accepted by the client.
• Approximately 5 years of professional SQL experience.
• Approximately 5–10 years of healthcare industry experience.
• Strong hands-on SQL query-writing and data investigation skills.
• Experience reconciling data across files, databases, or source systems.
• Experience identifying data anomalies, validating data, and troubleshooting discrepancies.
• Excellent analytical, critical-thinking, and problem-solving skills.
• Strong written and verbal communication skills.
• Ability to work independently and manage priorities in a remote setting.
• Experience with healthcare claims data, claims processing, claims submissions, or claims monitoring.
• Background in health insurance, payer operations, or health plan analytics.
• Experience with data quality assurance, data validation, and root-cause analysis.
• Experience analyzing large datasets and summarizing findings for business stakeholders.

Our client is a leading Healthcare Industry, and we are currently interviewing to fill this and other similar contract positions.

Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.