Data Analyst
USA DC Washington - 3801 Nebraska Ave (DCC057)
Full Time Mid-level / Intermediate USD 97K - 132K
General Dynamics Information Technology
Delivering consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community.Type of Requisition:
RegularClearance Level Must Currently Possess:
Top Secret/SCIClearance Level Must Be Able to Obtain:
Top Secret/SCISuitability:
Public Trust/Other Required:
Job Family:
Data ScienceJob Qualifications:
Skills:
Amazon Web Services (AWS), Data Visualization, Python (Programming Language), Requirements DefinitionCertifications:
Experience:
4 + years of related experienceUS Citizenship Required:
YesJob Description:
As our Data Analyst, you will play a pivotal role in transforming raw data into actionable insights that drive operations and decision making. Your in-depth knowledge and experience in manipulating, statistically analyzing, and visualizing mission data will be essential to our team’s ability to uncover trends, identify opportunities, and optimize processes. This role is ideal for those who have experience applying analytic tradecraft to mission problems and translating that into code via data analysis, automation and machine learning models. This role will regularly involve thinking critically and devising innovative solutions to expedite and enhance complex data challenges for mission end users. You will work with highly technical data science teams and functional stakeholders, and your ability to speak and work in a shared language with them will be invaluable.
Qualifications:
- TS-SCI clearance.
- Able to work 60% on-site at a client SCIF in Washington D.C.
- Bachelor’s degree or equivalent experience
- Writing functional Python code to automate routine tasks and explore and analyze data
- Visualizing data to understand trends, patterns, and elucidate insights
- Ability to gather requirements for analytics that augment and/or enhance mission tradecraft
- Familiarity with cloud computing and services, particularly AWS
- Excellent technical troubleshooting and process implementation skills
- Exceptional customer service and team collaboration skills
- Strong analytical, problem-solving, and communication skills
- Strong interpersonal skills, with the ability to work effectively in a team environment
Preferred Qualifications:
- Hands-on experience working in Cloud environments, particularly AWS
- Hands-on experience training, selecting, and evaluating machine learning models
- Familiarity and experience with the Intelligence Community (IC), and the intel cycle.
- Familiarity and experience with the Department of Homeland Security (DHS).
- Master’s degree or equivalent experience in a related field.
- Experience working with cross-functional teams in an Agile environment.
- Relevant certifications
Responsibilities:
- Perform ad-hoc analysis using Python to support specific intelligence questions and projects.
- Collect, clean, and preprocess large datasets from various sources to ensure data integrity and accuracy.
- Analyze complex datasets to identify trends, patterns, and insights that can inform decision-making.
- Collaborate with cross-functional teams, including data scientists, engineers, and functional stakeholders, to understand data needs and deliver actionable insights.
- Utilize statistical methods and software tools to analyze data and support decision-making processes.
- Create and maintain documentation of data analysis processes, methodologies, and findings.
- Ensure data security and compliance with relevant data protection regulations and requirements.
GDIT IS YOUR PLACE:
- 401K with company match
- Comprehensive health and wellness packages
- Internal mobility team dedicated to helping you own your career
- Professional growth opportunities including paid education and certifications
- Cutting-edge technology you can learn from
- Rest and recharge with paid vacation and holidays
Scheduled Weekly Hours:
40Travel Required:
Less than 10%Telecommuting Options:
HybridWork Location:
USA DC WashingtonAdditional 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.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 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 30 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.We connect people with the most impactful client missions, creating an unparalleled work experience that allows them to see their impact every day. We create opportunities for our people to lead and learn simultaneously. From securing our nation’s most sensitive systems, to enabling digital transformation and cloud adoption, our people are the ones who make change real.GDIT is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.Tags: Agile AWS Consulting Data analysis Data visualization Machine Learning ML models Python Security Statistics
Perks/benefits: 401(k) matching Career development Competitive pay Flex hours Health care Insurance Medical leave Parental leave
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