Senior Data Analyst

Blue Water Thinking

. Obtain and analyze data through advanced computerized models and algorithms to inform strategic decision-making and optimize business outcomes .

Posted 9/22/2026full-timeRemote • United StatesSenior💰 $115,000 - $145,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis and visualization, utilizing advanced statistical software and programming languages to derive actionable insights that support healthcare transformation goals. Proficient in collaborating with cross-functional teams and communicating complex findings to diverse stakeholders.

Highest-signal resume keywords

Data AnalysisStatistical Software ProficiencyData Visualization ToolsVHA Systems KnowledgePredictive Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisStatistical SoftwarePythonRSASData VisualizationTableauPower BIQlikPredictive Analytics

Soft Skills

CommunicationCollaborationAnalytical Thinking

Tools & Technologies

VHA SystemsCDWVistAVSSCRAMPPTF (MedSAS)MCAPCMMNPCDVETSNET

Certifications & Qualifications

Public Trust Clearance

Industry Keywords

HealthcareFederal EnvironmentData StandardsCompliance FrameworksHIPAAHITECHVeterans AffairsHealthcare Transformation

Tech Stack

Tools & technologies

PythonTableau

About the role

Key responsibilities & impact

Obtain and analyze data through advanced computerized models and algorithms to inform strategic decision-making and optimize business outcomes
Extrapolate data patterns using advanced algorithms to identify actionable insights
Develop graphs, charts, and visualizations to communicate complex mathematical findings
Present analytical outcomes to managers and stakeholders to guide business model adjustments and future planning
Apply in-depth knowledge of VHA systems and files, including CDW, VistA, VSSC, RAMP, PTF (MedSAS), MCA, PCMM, NPCD, and VETSNET
Collect, clean, and validate large datasets from multiple VA sources
Translate raw data into meaningful reports that support healthcare transformation goals
Collaborate with cross-functional teams to align data strategies with program objectives
Support predictive modeling and trend analysis to improve veteran healthcare delivery

Requirements

What you’ll need

Bachelor’s degree (BA/BS) in Data Science, Statistics, Health Informatics, or a related field
Minimum of 8 years of experience in data analysis, preferably in a healthcare or federal environment
Proficiency in statistical software and programming languages (e.g., Python, R, SAS)
Strong experience with data visualization tools such as Tableau, Power BI, or Qlik
Demonstrated ability to interpret complex datasets and communicate findings to non-technical audiences
Familiarity with VHA systems and data repositories, including CDW and VistA
Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
Must be able to obtain and maintain the required federal public trust clearance for this role
Resume must be submitted in word document format and must include dates in each section (experience, education, certifications...)
Candidates must fill out the below form to the best of their knowledge
Preferred: Master’s degree in Data Analytics, Public Health, or related discipline
Preferred: Experience supporting federal healthcare programs, especially within the Department of Veterans Affairs
Preferred: Knowledge of healthcare data standards and compliance frameworks (e.g., HIPAA, HITECH)
Preferred: Experience with machine learning models and predictive analytics in healthcare settings
Preferred: Active Public Trust clearance
Preferred: Familiarity of Senator Elizabeth Dole Act Sections 105 and 107

Benefits

Comp & perks

Health insurance (medical, dental and vision)
Paid time off
Federal holidays
Matching 401K plan
Reasonable accommodations throughout the application and hiring process