Senior Data Analyst at GOLDEN WOLF LLC
San Antonio, TX 78230, USA -
Full Time


Start Date

Immediate

Expiry Date

15 Nov, 25

Salary

90000.0

Posted On

15 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Tableau, Power Bi, Genesis, Sas, Quality Improvement, Spss, Enterprise, Mathematics, Mip, Python, Health Services Research, R, Mitigation Strategies, Biostatistics, Performance Metrics, Mdr, Soft Skills, Sql, Data Analysis, Statistical Packages, Mastery, Data Manipulation

Industry

Information Technology/IT

Description

POSITION SUMMARY:

GoldenWolf is seeking a Data Analyst who will harness data insights to pinpoint opportunities for optimizing Defense Health Agency (DHA) resources, enhance healthcare delivery, and drive cost containment across multiple DHA programs.

REQUIRED QUALIFICATIONS:

  • Two (2) years’ experience working in healthcare and facility data quality improvement.
  • Two (2) years’ experience developing and deploying clinical performance metrics preferred.
  • Three (3) years’ experience with basic SQL for data manipulation and/or SAS statistical analysis software packages.
  • One (1) year of software management and data retrieval experience.
  • 2 years of statistical language experience, such as R, Python, SPSS, or SAS, preferred.
  • Knowledge of relational database software, SQL
  • Experience in applied statistics using R, Python, SPSS, SAS, or other statistical programs.
  • Experience in using medical/clinical/health data, and healthcare data analysis.

EDUCATION:

  • Bachelor’s degree in health services research, Biostatistics, Statistics, Mathematics,
  • Computer Science, Business Administration, Management, Economics, or a related quantitative field of study.
  • Previous participation in an advanced training/program in their area of expertise is required or the equivalent combination of education and experience.

TOOLS & TECHNICAL SKILLS:

  • Advanced SQL programming on enterprise and tactical infrastructures.
  • Proficiency in open-source statistical packages (R, Python) and commercial analytics/visualization tools (Tableau, Power BI, MS Excel).
  • Mastery of Microsoft Office Suite/Microsoft 365 and relational database management.
  • Domain Knowledge & Governance
  • Familiarity with the Military Health System (MHS) and Defense Health Agency (DHA) direct-care and purchased-care delivery models.
  • Knowledge of healthcare data sources (e.g., M2, MDR, MIP, GENESIS, DMHRSi, DMLSS-FM, LogiCole, RPAD).
  • Awareness of information systems security principles to ensure compliance with data-security best practices.

PERSONAL ATTRIBUTES & SOFT SKILLS:

  • Strong analytical and creative problem-solving abilities; skilled at critical evaluation and developing mitigation strategies.
  • Proven capacity to manage multiple tasks under aggressive deadlines, adapt to changing priorities, and deliver on time and within budget.
  • Excellent written and verbal communication skills; able to advocate recommendations persuasively at all organizational levels.

How To Apply:

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Responsibilities

01) Data Modeling & Management

  • Build and maintain data models using facilities, environmental, clinical, operational, personnel, and cost/expense data.
  • Develop system data models to support descriptive and predictive analysis of DHA facilities and healthcare systems.
  • Design and maintain thorough documentation of database processes, including data mapping, data dictionaries, and entity-relationship diagrams.

02) Data Processing & ETL

  • Load, process, standardize, and integrate data using SQL queries, stored procedures, and ETL best practices.
  • Validate, manipulate, and analyze large datasets and “big data” sources to ensure accuracy, applicability, and efficiency.
  • Test and evaluate new software packages, data tools, and automation scripts for data extraction.

03) Analytical & Statistical Techniques

  • Perform analytical studies using descriptive, multivariate, and predictive modeling techniques.
  • Explore data to identify trends, relationships, and improvement opportunities based on leadership direction and FE data.
  • Build, assess, and monitor predictive models; automate generation of performance metrics and model updates.

04) Reporting & Communication

  • Prepare briefing charts, fact sheets, staff reports, and presentations that clearly convey findings, recommendations, and actionable insights.
  • Synthesize disparate data into concise, authoritative reports and position papers for tactical and strategic decision making.
  • Lead or participate in working groups; consult with clients and colleagues to align analysis with business needs.

Job Type: COA - Contingent On Award of this project
Supervisory Responsibilities: None
Travel Requirements: Up to 25% of worktime

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