Data Analyst
The Lead Software Engineer/Front-End role at Confidential Client involves leading front-end modernization and software integration efforts to enhance mission-system reliability. The position requires expertise in modern web technologies, cloud deployment, containerization, and security within a high-security defense environment, providing technical leadership and collaborating closely with customers onsite at Patrick Space Force Base.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Staffing and Recruiting.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
What You’ll Do
Confidential Client is seeking a Data Analyst based in Orlando, FL to turn complex data into actionable insights that support decisions across product, operations, and mission teams.
- Collect, clean, and validate data from multiple sources (relational and NoSQL databases, logs, APIs).
- Build and maintain SQL queries, ETL processes, and data pipelines to support analytics and reporting.
- Develop dashboards and visualizations to communicate trends, KPIs, and data-driven recommendations.
- Collaborate with engineers, product owners, and stakeholders to refine requirements and translate business questions into data solutions.
- Support data deployments and automation using modern tooling (CI/CD, containerization where applicable).
- Document data models, schemas, dashboards, and analytical methods to support reproducibility and handoff.
Minimum Qualifications
To be considered, candidates should have:
- Proven hands-on experience with SQL (PostgreSQL, MySQL, or similar) and strong data modeling fundamentals.
- Experience with at least one scripting or analysis language (Python, R, or similar).
- Familiarity with cloud environments (Amazon Web Services) and basic knowledge of containerization (Docker) or deployment pipelines.
- Experience creating dashboards and visualizations (Tableau, Power BI, Looker, or comparable tools).
- Strong problem-solving, communication, and stakeholder-collaboration skills.
- Authorization to work in the U.S.; some roles may require the ability to obtain or maintain a security clearance.
Preferred / Nice-to-Have Skills
- Experience with additional data stores (DynamoDB, SQL Server) or big-data tooling.
- Familiarity with CI/CD practices for analytics code and containerized deployments.
- Background in AI/ML analytics, applied data science, or building decision-support tools.
- Experience integrating analytics into production services or mission-critical systems.
- Prior exposure to front-end frameworks or web-based visualization libraries (React, D3, etc.) is a plus.
- Security+ or DoD IAT Level II certification, or the ability to obtain one within six months, is desirable for some positions.
Logistics & Hiring Notes
- Location: Orlando, FL — this role is expected to be based in Orlando and may require onsite work or access to secure facilities depending on assignment.
- Employment type: Full-time.
- Clearance: Some positions will require eligibility for a U.S. security clearance. If applicable, only U.S. citizens can be granted certain clearances.
- We encourage applicants from diverse backgrounds. Reasonable accommodations are available during the application and interview process.
Why Apply via Careertakes
- Careertakes acts as a third-party recruiter matching qualified talent to Confidential Client roles in Staffing and Recruiting.
- If you qualify, Careertakes may surface additional, relevant opportunities to accelerate your job search.
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
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