Overview
Data Analyst Jobs in United States at SCOPE Recruiting – Supply Chain Recruiters
Title: Data Analyst
Company: SCOPE Recruiting – Supply Chain Recruiters
Location: United States
Company Overview
Our client is transforming how universities and schools buy the goods and services they need to operate and thrive. By leveraging the power of cooperative purchasing, they help thousands of member educational institutions save time, contain costs, and redirect critical resources to their core mission of education and research. With decades of industry experience and a trusted brand, they operate with a high-growth startup mindset—launching innovative technology, data, and service solutions to meet the evolving needs of the education sector.
The Associate Data Analyst plays a key role in supporting the analytics efforts that drive strategic decision-making across the organization. As part of the Operations team, you will contribute to meaningful, data-driven initiatives that enhance services for members and strengthen internal capabilities.
What Makes This Opportunity Unique
- Mission-Driven Impact: Your work directly supports the success of educational institutions nationwide, from universities to K-12 schools.
- Growth Culture: The organization is passionate about creating conditions for excellence, teamwork, and lifting each other up. They invest heavily in the personal and professional development of every single team member.
- The Best of All Worlds: They combine the stability of a well-established non-profit cooperative with the fast-paced enterprise mindset of a high-growth startup. They value bold ideas, big swings, and continuous innovation.
What You Will Do
The Associate Data Analyst is an entry-level professional in the Operations Department (Analytics team), responsible for supporting internal and external analytics efforts that inform strategic decision-making. This role focuses on data collection, preparation, basic analysis, and reporting to help derive insights for Sourcing, Member Engagement, and other departments, always with guidance and mentorship from more experienced analysts. The Associate Data Analyst contributes to projects such as spend analysis, supplier data reviews, routine dashboard updates, and other business intelligence initiatives, ensuring accuracy and developing a strong foundation in analytics.
How You Will Do It
- Analytical Support & Flexibility: Support multiple analytics functions (internal operational analytics, member-facing analytics, etc.) as needed, demonstrating flexibility and the capacity to adapt to evolving project needs.
- Data Collection & Preparation: Gather, organize, and cleanse data from internal systems and external sources (e.g., procurement, financial databases) under guidance, ensuring data quality and accuracy. Perform initial data validation and prepare datasets for analysis.
- Foundational Analysis & Reporting: Conduct quantitative analyses (e.g., descriptive statistics, trend identification) with supervision. Create standard reports and visual charts (e.g., using Excel or BI tools) to clearly summarize key findings for stakeholders.
- Project Assistance: Contribute to sourcing and procurement analytics projects, such as spend analyses, cost baseline calculations, supplier utilization reports, institutional price reviews, and strategic spend assessments. Prepare data inputs, update pre-defined models, and assist in developing insights to support senior analysts and business objectives.
- Professional Development: Actively participate in training and mentorship programs. Seek and apply feedback to continuously improve technical skills (analytics, data tools) and soft skills (communication, collaboration), preparing for advancement to a mid-level Data Analyst role.
- Dashboard & Data Product Support: Maintain and enhance standardized dashboards and data products by updating data and making improvements. Work within established standards and use certified data sources under guidance to ensure accuracy, consistency, and usability.
- Cross-Functional Collaboration: Engage with colleagues in Sourcing, Member Engagement, Finance, and other departments to understand their analytical needs. Communicate effectively to clarify requirements and deliver data outputs that are relevant and accurate.
- Data Administration & Quality: Perform routine data quality checks (identifying missing data, outliers, etc.) and assist in managing analytics data sources and documentation. Contribute to improving data processes by noting issues and suggesting enhancements.
- Tools & Technology Learning: Use and learn analytic tools including advanced Excel features, SQL for querying databases, and Python scripts for data manipulation. Demonstrate initiative in adopting new technologies or methods (like automation tools or basic AI-assisted analysis) to increase efficiency, with support from mentors.
- Ad Hoc Support: Respond to ad hoc requests for data, analysis, or visualizations from internal stakeholders. Ensure timely delivery of accurate and well-organized results.
Education
- Bachelor’s degree in a quantitative discipline (e.g., Finance, Accounting, Economics, Statistics, Data Science, Operations/Supply Chain Management, Computer Science, or Engineering), or an equivalent combination of education and experience.
Qualifications
- 1–3 years of relevant experience (including full-time employment, internships, or significant academic projects) in roles involving data analysis, reporting, or similar business analytics tasks.
- Strong Microsoft Excel skills (e.g., advanced formulas, pivot tables, data analysis features).
- Working knowledge of SQL and Python for data querying, manipulation, and basic analysis is highly preferred.
- Analytical aptitude and attention to detail, with a demonstrated ability to accurately handle and interpret data.
- Effective communication skills, both written and verbal, with an ability to document work and explain data findings in a clear, concise manner.
- Teamwork and growth mindset: Demonstrated ability to collaborate with colleagues, accept feedback, and adapt to new challenges.
- Curiosity to learn and grow new skills.
- Experience with data visualization or business intelligence tools (e.g., Tableau, Power BI) and creating basic dashboards or reports.
- Familiarity with procurement, finance, or business operations data through coursework or practical experience is preferred.
Travel Requirements
- National travel to company-sponsored events (5%).
