Data Mining Analyst - current interim Secret or higher required

Type of Requisition: Regular Clearance Level Must Currently Possess: Interim Secret Clearance Level Must Be Able to Obtain: Top Secret Public Trust/Other Required: None Job Family: Data Science and Data Engineering Job Qualifications: Skills: Data Analysis, Data Mining, Statistical Analysis Certifications: None Experience: 2 + years of related experience US Citizenship Required: Yes Job Description: DATA MINING ANALYST Own your opportunity to turn data into measurable outcomes for our customers’ most complex challenges. As a Data Mining Analyst at GDIT, you’ll power innovation to drive mission impact and grow your expertise to power your career forward. MEANINGFUL WORK AND PERSONAL IMPACT This project requires the collection and reporting of data to produce leads for actionable investigative reports predicated upon data research of government and commercial data systems to verify status of potential status violators. The reports produced are automated and disseminated to the government client. We perform data entry from multiple client systems, other intelligence sources, and law enforcement databases and generate an analysis of the collected information. This requires Investigative Research Analysts to input collected information into a database and produce summary products in support of Homeland Security Law Enforcement. Responsibilities: The Data Mining Analyst’s primary task will be to act as a liaison between the Government client and the technical staff to provide accurate and timely reporting of statistics. Required to conduct statistical analysis on data and information to ensure correct predictive forecasting or classification. Manages all aspects of end-to-end data processing utilizing customized report building functions of systems. The Analyst will also be responsible for understanding the process of building reports (leads). Evaluate the database needs of our applications and optimize them using MongoDB & Python Research, develop, and test queries using Mongo & Python data analytic tools Analyze, query, and extract data from Mongo & Python databases as part of client adhoc requests Understanding of Big Data tools (e.g. MongoDB, Python, JavaScript, NoSQL, PowerBI) Conducting trend analysis Evaluating statistical methods and advanced technical research techniques to develop strategies based on client requirements Analyzing data integrity and consistency to obtain a quantitative basis for decision making and resource allocation Developing strategies to exploit the various internal and external data sources to refine the intelligence analysis process Providing written reports as required Proficiency in MS Access and Excel Assimilating, integrating, and interfacing technical knowledge with business / systems requirements Create high-level reports for client and upper levels of DHS Monitoring report requests and providing end-user support to internal and external client Completing quality projects timely and accurately Analyzing current and potential systems for conversions Conduct analytical research in support of assigned Criminal Investigative Mission Qualifications: Required Minimum Education/Experience: Bachelor's Degree or higher in any discipline with two (2) or more years of related experience in analysis of bulk data sets to include entry and extraction of target data, statistical analyses, and reporting. Must possess a core understanding and experience in navigating and writing queries using one or more of the following coding languages: JSON, SQL, Python, and/or JavaScript to extract data out of a NoSQL (not only SQL) database. Experience in big data sets with a strong understanding of coding principles, methodologies, and best practices. The ideal candidate has a strong understanding of MongoDB & Python with a strong understanding of coding principles, methodologies, and best practices, as well as working in the backend of various databases, a team player who is a quick learner, asks questions, takes initiative, and produces accurate work. They are proactive, learn and understand the customer's SOPs and complete tasks with no errors. This is a fast-paced environment; successful analysts have excellent time management skills and work well under pressure. Hours: M-F, generally 8 hour workday aligned with core hours of 8 AM to 4 PM, though will depend on mission requirements. Hours could float between 6 AM – 10 PM depending on unit requirements GDIT IS YOUR PLACE At GDIT, the mission is our purpose, and our people are at the center of everything we do. ● Growth: AI-powered career tool that identifies career steps and learning opportunities ● Support: An internal mobility team focused on helping you achieve your career goals ● Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off ● Community: Award-winning culture of innovation and a military-friendly workplace OWN YOUR OPPORTUNITY Explore a career in data science and engineering at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges. The likely salary range for this position is $70,658 - $81,650. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. Scheduled Weekly Hours: 40 Travel Required: None Telecommuting Options: Onsite Work Location: USA VA Vienna Additional Work Locations: Total Rewards at GDIT: Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most. Our Identity Verification Process: As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes. About Our Work: We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology. Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc. Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans Opportunity Owned From working with technologies like AI, cyber and cloud to careers in intelligence and health, we offer endless opportunities to apply your expertise to create a safer, smarter world. For more information about GDIT's Privacy Policy, click here: Privacy Policy | GDIT