Note: The job is a remote job and is open to candidates in USA. SCOPE Recruiting is seeking an Associate Data Analyst to support analytics efforts that drive strategic decision-making across the organization. The role involves data collection, preparation, basic analysis, and reporting to derive insights for various departments, contributing to meaningful, data-driven initiatives that enhance services for members.
Responsibilities
- Support multiple analytics functions (internal operational analytics, member-facing analytics, etc.) as needed, demonstrating flexibility and the capacity to adapt to evolving project needs
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- Respond to ad hoc requests for data, analysis, or visualizations from internal stakeholders. Ensure timely delivery of accurate and well-organized results
Skills
- 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
- 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)
- 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
- National travel to company-sponsored events (5%)
- Working knowledge of SQL and Python for data querying, manipulation, and basic analysis is highly preferred
- 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
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