Data Scientist Associate
Saic
- Location
- Washington D.C.
- Workplace
- Remote
- Employment
- Full Time
- Salary
- USD 40,001–80,000/yr
Posted 1mo ago
The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.
Responsibilities
- Drive internal process improvement initiatives by identifying inefficiencies and developing streamlined workflows that reduced manual effort.
- Partner with internal teams to implement process automation tools and technology solutions, enhancing scalability and reducing operational bottlenecks.
- Coordinate with cross-functional teams to gather data, prepare polished presentations and dashboards for FAA customers and internal senior executives
- Assist in streamlining recruitment processes by developing efficient reporting systems to track hiring metrics, applications, and candidate progress.
- Built strong relationships with FAA customers by understanding their unique operational needs and goals, facilitating open communication, and delivering tailored solutions to enhance their operational capabilities and satisfaction.
- Assist the organization in becoming a trusted partner to FAA clients by engaging in regular meetings, providing timely updates on project milestones, and addressing customer concerns and feedback effectively.
- Assist in providing data-driven insights and detailed reports to FAA stakeholders to support decision-making and improve program outcomes, establishing the organization as a reliable and forward-thinking partner.
- Introduced performance measurement frameworks to track and evaluate process effectiveness, generating insights that informed continuous improvement efforts.
Requirements
- Bachelor’s degree in Business Administration, Data Analytics, Human Resources, or a related field.
- 0–2 years of experience in data analysis, business operations, human, or customer relationship management.
- Proficiency in data analysis tools such as Excel (pivot tables, advanced formulas, data visualization) or similar analytics platforms.
- Strong analytical and problem-solving skills.
- Excellent communication skills with experience preparing and delivering professional presentations for senior leadership and non-technical audiences.
- Basic understanding of workforce planning.
- Demonstrated ability to manage multiple tasks and projects while meeting deadlines in a fast-paced environment.
- Eagerness to learn, adapt, and grow professionally within a dynamic organization.
Skills
- Excel
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