Facilities Data Analyst

SAIC

14h•Onsite

About The Position

SAIC is seeking a top-notch Facilities Project Manager/Data Analyst to join our talented team in Chantilly, VA. This role requires an active TS/SCI clearance with Counterintelligence (CI) Polygraph. SAIC provides full-service facility management oversight to a major organization in the Intelligence Community (IC). We conduct end-to-end project management, facility engineering, and technical support for project execution, facility operations and maintenance, strategic planning, and budget planning.

Requirements

Active TS/SCI clearance with Counterintelligence (CI) Polygraph.

Responsibilities

Act as the liaison, reporting to and coordinating with U.S. government representatives at multiple levels;
Receive and review customer work requests and develop clear statements of work to meet requirements while managing customer expectations through knowledge of client facility standards and professional communication;
Work with the executing agent to ensure that customer requirements are accomplished on time, to the specified quality, and within budget;
Coordinate resource allocation and maintain document control;
Develop and deliver project/contract documentation, including but not limited to Statements of Work, cost and schedule estimates, and project reports;
Input and maintain project management data in the client’s system of record.
Works in cross-functional teams with data at all stages of the analysis lifecycle to derive actionable insight;
Translates mission needs into an end-to-end analytical approach to achieve results;
Performs the pre-analytics areas of data collection and understanding, data cleansing and integration, and data storage and retrieval;
Determines the appropriate analytics based on the data and the desired outcomes, using techniques including feature detection, statistics, data mining, predictive modeling, machine learning, natural language processing, and business intelligence;
Interprets the validity of results and communicates the meaning of those results;
Has familiarity with data wrangling, analytics, and visualization software and programming languages, including analytics methods for big data;
Follows a scientific approach to generate value from data, verifying results at each step;
Provides solutions to a variety of technical problems of moderate scope and complexity where analysis of situations or data requires a review of the variety of factors.