Data Analyst with Operations experience _ 10+ Years Experience

Data Analyst with Operations experience _ 10+ Years Experience

Posted 2 weeks ago by 1750846737

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Negotiable
Outside
Remote
USA
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Amazon S3 Amazon Web Services (AWS) Anomaly Detection Automation AWS Glue Computer Science Data Flow Diagram Data Manipulation Data Quality Data Science Data Visualisation External Auditing Extract Transform Load (ETL) File Handling File Management Generic Programming Informatics Management Power BI Python (Programming Language) Scripting Software Coding Software Development SQL (Programming Language) Stakeholder Management Tableau (Business Intelligence Software) Verification And Validation Workflows

Summary: The role of Data Analyst with Operations experience focuses on managing and analyzing healthcare data, ensuring compliance with HIPAA standards, and optimizing data operations. The position requires extensive experience in data manipulation, ETL processes, and the use of various data visualization tools. The analyst will serve as a primary contact for data file management and will collaborate with teams to deliver insights and reports. This is a remote position requiring a strong background in healthcare data and operations.

Key Responsibilities:

  • 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.
  • 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 during transformations and downstream consumption.
  • 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.
  • Identify opportunities for automation and efficiency in file handling and ETL processes.
  • Document procedures, workflows, and data dictionaries to standardize operations.

Key Skills:

  • 10+ years of experience in a data operations or analyst role with a strong focus on healthcare data.
  • Bachelor's or Master's degree in Health Informatics, Data Analytics, Computer Science, or related field.
  • 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.

Salary (Rate): undetermined

City: undetermined

Country: USA

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

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.

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