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MSK

Data Analyst I

MSK

. Extract, clean, transform, and validate data from various databases and sources.

Posted 10/22/2026part-timeNew York City • New York • United StatesMid-LevelSenior💰 $69,400 - $107,600 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in data extraction, transformation, and validation, with proficiency in statistical analysis and predictive modeling. Capable of creating impactful data visualizations and reports to support data-driven decision-making in healthcare and research.

Highest-signal resume keywords
Data ExtractionStatistical AnalysisPredictive ModelingSQL ProficiencyTableau Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data CleaningData TransformationStatistical AnalysisPredictive ModelingData VisualizationLarge Dataset AnalysisR ProgrammingPython Programming
Soft Skills
Strong Communication SkillsCollaboration
Tools & Technologies
TableauSQLStatistical Software
Industry Keywords
Computational BiologyBioinformaticsData ScienceStatisticsHealthcare DataResearch Data

Tech Stack

Tools & technologies
PythonSQLTableau

About the role

Key responsibilities & impact
  • Extract, clean, transform, and validate data from various databases and sources.
  • Perform statistical analyses and develop predictive models to identify trends and opportunities.
  • Create dashboards, reports, and data visualizations using tools such as Tableau and statistical software.
  • Maintain and enhance reporting systems to ensure accurate and up-to-date data.
  • Present findings and recommendations to stakeholders and leadership.
  • Collaborate with cross-functional teams to support projects and meet key deliverables.
  • Collect, prepare, and analyze healthcare and research data to support data-driven decision making.

Requirements

What you’ll need
  • Bachelor's degree in Computational Biology, Bioinformatics, Data Science, Statistics, Computer Science, or a related field.
  • Experience analyzing large datasets and applying statistical or predictive modeling techniques.
  • Proficiency with SQL, Tableau, and data analysis tools such as R or Python.
  • Strong communication skills.
  • Ability to translate complex data into meaningful insights.