Data Analyst supporting supply chain risk management for federal agencies. Focusing on data analysis and mitigation strategies in a collaborative team environment.
About the role
- Data Analyst transforming raw data into actionable insights at a growing Data team. Collaborating with various stakeholders to ensure the reliability and accuracy of data for decision-making.
Responsibilities
- Collect, clean, and organize data from production, warehouse, and external sources to ensure accuracy and reliability.
- Develop and maintain data collection systems, pipelines, and processes that optimize efficiency and quality.
- Perform exploratory data analysis (EDA) to identify patterns, trends, and opportunities in complex datasets.
- Use BI tools to build and maintain dashboards, reports, and visualizations that support business needs and decision-making.
- Interpret data and provide actionable insights to stakeholders through reports, dashboards, and presentations.
- Monitor data quality, validate results, and support initiatives for data integrity and normalization.
- Document data sources, processes, and definitions to improve knowledge-sharing and consistency across the team.
- Collaborate with cross-functional stakeholders to gather requirements and deliver data solutions aligned with business priorities.
- Support testing, troubleshooting, and improvements of reporting systems and pipelines.
- Train end-users on new reports, dashboards, and data tools to enhance adoption and effectiveness.
- Work with senior team members and management to define metrics, track performance, and prioritize business and information needs.
- Identify and recommend process improvements and opportunities for better data-driven decision-making.
Requirements
- Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Engineering, or related discipline).
- 0–2 years of experience in data analysis or a related field (internships or academic projects count).
- Strong proficiency in SQL for querying and analyzing data.
- Familiarity with at least one BI/visualization tool (e.g., Tableau, Looker, Metabase).
- Good understanding of data cleaning techniques and basic statistical concepts.
- Strong analytical skills with high attention to detail and accuracy.
- Ability to communicate findings clearly through reports, dashboards, and presentations.
- Eagerness to learn and willingness to dive deep into data validation.
Job title
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Not specified
Degree requirement
Tech skills
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