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Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Analyzes and interprets data to support organizational and client needs
- Assists in creating reports, developing data collection and processing workflows, and transforming data into meaningful insights
- Contributes to routine technical tasks under close supervision and supports data-driven decision-making across projects
- Apply foundational knowledge of data analytics and data management techniques to support analysis of structured and unstructured datasets
- Assist in the full data lifecycle, including data intake, cleaning, validation, transformation, and basic analysis
- Develop and maintain code for data processing and analysis using tools such as Python, R, SQL, or similar technologies
- Support the creation of reports, dashboards, and data visualizations to communicate insights clearly and effectively
- Collaborate with team members to follow established QA/QC protocols and data governance standards
- Participate in cross-functional teams to support data preparation, analytical file creation, and reporting efforts
- Assist in maintaining data integrity, security, and availability in compliance with federal and organizational standards
- Contribute to documentation of processes, methodologies, and code
Requirements
What you’ll need- Bachelor’s degree in data analytics, statistics, informatics, public health, social science, or a related field
- 0+ years of relevant experience (internships, academic projects, or research experience applicable)
- Basic proficiency in one or more data analysis tools or programming languages (e.g., Python, R, SQL, or similar)
- Understanding of fundamental statistical concepts and data analysis techniques
- Strong attention to detail and ability to work on routine tasks with guidance
- Effective communication and collaboration skills
Benefits
Comp & perks- Flexible work arrangements
- Professional development opportunities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data analysisdata managementdata cleaningdata validationdata transformationdata visualizationstatistical conceptsdata processingdata lifecycledata governance
Soft Skills
attention to detaileffective communicationcollaborationability to work with guidance
