Data Analyst with Operations experience _ 10+ Years Experience

Requirement details:

Job Title: Data Analyst with Operations experience & Healthcare domain

Location: Remote

Duration: 12+ Months

Qualifications:

10+ Years of Experience

Key areas: AWS S3; AWS Glue; File & data Operations; ETL; Health care data; Tableau; PowerBI; HIPAA; Data pipelines; React; Node; Python' Mongo

Required Qualifications

Bachelor s or Master s degree in Health Informatics, Data Analytics, Computer Science, or related field.

10+ years of experience in a data operations or analyst role with a strong focus on healthcare data.

Demonstrated expertise in working with medical claims data, EHR systems, and healthcare coding standards (e.g., ICD, CPT, LOINC, SNOMED, RxNorm).

Strong programming and scripting skills in Python and SQL for data manipulation and automation.

Hands-on experience with AWS, Redshift, RDS, S3, and data visualization tools such as Power BI or Tableau.

Familiarity with HIPAA compliance and best practices in handling protected health information (PHI).

Excellent problem-solving skills, attention to detail, and communication abilities.

Responsibilities

File Intake & Management

Serve as the primary point of contact for receiving files from clients, ensuring all incoming data is tracked, validated, and securely stored.

Monitor and automate data file ingestion using tools such as AWS S3, AWS Glue, or equivalent technologies.

Troubleshoot and resolve issues related to missing or malformed files and ensure timely communication with internal and external stakeholders.

Data Operations & ETL

Develop, manage, and optimize ETL pipelines for processing large volumes of structured and unstructured healthcare data.

Perform data quality checks, validation routines, and anomaly detection across datasets.

Ensure consistency and integrity of healthcare data (e.g., EHR, medical claims, ICD/CPT/LOINC codes) during transformations and downstream consumption.

Data Analysis & Reporting

Collaborate with data science and analytics teams to deliver operational insights and performance metrics.

Build dashboards and visualizations using Power BI or Tableau to monitor data flow, error rates, and SLA compliance.

Generate summary reports and audit trails to ensure HIPAA-compliant data handling practices.

Process Optimization

Identify opportunities for automation and efficiency in file handling and ETL processes.

Document procedures, workflows, and data dictionaries to standardize operations.