Data Analyst

Analytica•San Antonio, TX

13d•Hybrid

About The Position

Analytica is seeking a Data Analyst to support a defense health mission critical program. The ideal candidate will be comfortable working directly with clients in consulting and delivery capacity to provide solutions that tackle complex problems. The person needs to be a US Citizen with a SECRET clearance or the ability to secure a SECRET clearance. The role may be Hybrid, either in San Antonio Tx or Falls Church VA or potentially remote with periodic travel for meetings. Analytica is looking for bright, motivated professionals who want to continue their careers in the data analytics field. The data analyst will support the agency’s mission to provide high-quality healthcare for beneficiaries and their families. The ideal candidate will work across different project workstreams to help analyze and improve quality of care on a range of special topics. Analytica has been recognized by Inc. Magazine as a fastest-growing private US small business. We work with U.S. government customers in health, civilian, and national security missions. Analytica offers competitive compensation with opportunities for bonuses, employer paid health care, training and development funds, and 401k match.

Requirements

Bachelor’s or master’s degree in data science, data analytics, statistics, computer science, health policy, or public health.
Must be able to maintain a Secret security clearance.
3+ years of experience in Python, R, and/or SQL for programming, ETL, and data analysis.
Strong knowledge of statistical programming concepts and best practices.
Experience delivering analytic dashboard products (Tableau and/or Power BI) is required.
Demonstrated experience with SQL development, including writing queries, procedures, and performing query optimization.
Excellent written and verbal communication skills; able to convey technical concepts to a wide range of audiences and maintain effective interpersonal relationships.
Ability to manage multiple tasks within time constraints and meet critical deadlines.
Proficient in Python, R, SQL for ETL, data analysis and ML development.
Skilled in data visualization and business intelligence tools (e.g., Power BI, Tableau).
Experienced with git version control systems (e.g., Github and Gitlab).

Nice To Haves

Provide mentorship and technical support to junior data scientists and analysts, fostering a collaborative and innovative team culture.
Implement automated testing frameworks and monitoring tools to maintain consistent deployment quality across data applications.
Experience with the Department of Defense or a Federal health care entity.
Experience in a private sector of health care.
Experience with building and maintaining client relationships.

Responsibilities

Demonstrate experience working with military or veteran healthcare systems (e.g., DHA, VA), with a deep understanding of healthcare data, regulatory compliance, and mission-driven care delivery.
Use SQL and analytical techniques to extract, join, transform, and analyze large datasets from enterprise data warehouses and authoritative data sources.
Apply statistical and analytical methods to support forecasting, utilization analysis, workload analysis, and operational decision-making.
Develop interactive, user-friendly dashboards and visualizations in Python, Power BI, and/or Tableau to support real-time healthcare analytics and decision-making.
Work with clinical and operational stakeholders to gather requirements and translate them into meaningful, data-driven visual solutions.
Enhance user engagement with dynamic, drill-through capabilities and actionable insights embedded within dashboards.
Maintain versioned documentation to support compliance, reproducibility, and knowledge transfer across teams.
Identify opportunities to improve efficiency, standardization, and automation of analytical and reporting processes.
Identify opportunities to improve efficiency, standardization, and automation of analytical and reporting processes.
Comfortable operating in ambiguous problem spaces and refining questions through data.