3 hours ago

Data Quality Analyst for Real World Evidence

Pinnacle Method Consulting

Hybrid
Full Time
$150,000
Hybrid

Job Overview

Job TitleData Quality Analyst for Real World Evidence
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$150,000
LocationHybrid

Who's the hiring manager?

Sign up to PitchMeAI to discover the hiring manager's details for this job. We will also write them an intro email for you.

Uncover Hiring Manager

Job Description

Data Quality Analyst for Real World Evidence

Pinnacle Method Consulting's mission is to help job seekers reach their career peak by accessing top-tier opportunities. We are not a staffing firm or agency. Pinnacle Method does not hire for these roles—we systematically source and verify them from premier employers.

Employer Industry: MedTech and Life Sciences

Why Consider This Job Opportunity

  • Salary up to $150,000 a year
  • Generous benefits including fully paid healthcare for you and your family, dental coverage, 401K with match, and 18+ days of PTO
  • Remote work flexibility with a remote-first company culture
  • Opportunity to work with a diverse team focused on improving patient outcomes
  • Engage in continuous improvement in data quality standards and processes

What To Expect (Job Responsibilities)

  • Investigate data anomalies and inconsistencies to determine root causes using SQL and system knowledge
  • Design test plans that validate the correctness of data pipelines, ETL logic, and derived metrics
  • Develop traceability from raw ingest through transformations to final analytical outputs
  • Document requirements, test cases, traceability matrices, defect reports, and validation evidence in an ISO13485 quality system
  • Communicate findings and reasoning to both technical and non-technical stakeholders

What Is Required (Qualifications)

  • 4-year college degree in an engineering or related field
  • 5+ years of quality assurance experience
  • Strong SQL and data analysis skills
  • Experience validating data warehouses, data lakes, or analytical systems
  • Ability to work independently on complex analytical tasks

How To Stand Out (Preferred Qualifications)

  • Experience with AWS Redshift, Databricks, or Spark
  • Familiarity with time series or device-generated health data
  • Background in real-world evidence, clinical research, or regulated environments
  • Knowledge of ISO 13485, validation, or traceability documentation
  • Proficiency in statistical reasoning or analytical workflows

Key skills/competency

  • Data Quality
  • SQL
  • Data Analysis
  • ETL
  • Data Pipelines
  • ISO 13485
  • Validation
  • Real World Evidence
  • MedTech
  • AWS Redshift

Tags:

Data Quality Analyst
Real World Evidence
MedTech
Life Sciences
SQL
Data Analysis
ETL
Data Pipelines
ISO 13485
Validation
Traceability
AWS Redshift
Databricks
Spark
Time Series Data
Clinical Research

Share Job:

How to Get Hired at Pinnacle Method Consulting

  • Research the employer's mission: Study the MedTech/Life Sciences company's values, recent news, and impact on patient outcomes.
  • Tailor your resume: Customize your application to highlight SQL, data quality, and ISO 13485 experience for the Data Quality Analyst role.
  • Showcase your data expertise: Prepare examples demonstrating your experience in data validation, ETL, and anomaly investigation.
  • Emphasize remote collaboration: Be ready to discuss how you thrive independently and communicate effectively in remote settings.
  • Highlight regulated environment experience: If applicable, showcase your background in clinical research or regulated MedTech environments.

Frequently Asked Questions

Find answers to common questions about this job opportunity

Explore similar opportunities that match your background