AI Data Senior Analyst (Onsite work)

LTC Solutions LLC•Arlington, VA

1d•Onsite

About The Position

LTC Solutions, LLC is a small company with a huge commitment to supporting our employees and providing quality services to our government clients. Our employees have an entrepreneurial spirit, a passion for excellence, and a proactive approach to providing the best possible solutions to our clients. If you are committed to building excellent client relationships, providing consistent superior-quality work, and taking initiative to understand your clients’ needs, we would like to meet you! LTC offers a dynamic team setting and generous benefits (including 401K, PTO, and Health, Dental, Vision, Life and Disability Insurance). POSITION: AI Data Senior Analyst LOCATION: Arlington, VA (Onsite) STATUS: Full time – Contingent Hire WORK HOURS: NOT REMOTE (Onsite only)

Requirements

Education: Bachelors’ degree in AI Data Analytics or related discipline
Experience: 7+ years of data analysis
Must haves: Experience supervising program’s artificial intelligence analysis activities
Citizenship and Clearance: US. Citizen with Active Secret Clearance and or ability to obtain one
Travel: Ability to travel up to 25% to support client meetings and requirements
Skills: Python, R or SQL, data visualization/BI tools, statistical methods. Proficiency with SharePoint, TEAMS. Above average proficiency in other Microsoft Office products; strong verbal and written communication skills; strong documentation and technical reporting skills, strong problem-solving skills; ability to work independently and lead a team

Nice To Haves

Client Familiarity: Experience supporting U.S. Marine Corps
Tools Familiarity: Python, R or SQL

Responsibilities

Implements data standards and deploys automation tools to extract, synthesize, and validate data from different sources and transform data into usable metrics.
Constructs data sets, monitors data quality, troubleshoots and resolves database issues to ensure data integrity.
Utilizes scripting and querying tools like Python, R or SQL, data visualization/BI tools, statistical methods, and data modeling to produce reports, data files, and dashboards.