Analyst Consultant
Education Resource Strategies is a national non-profit reputed company that empowers school system leaders to reputed company transformative shifts in resources, structures, and practices for K-12 education. The Analyst Consultant will utilize quantitative analysis to support resource allocation and improve educational reputed company for reputed company in public school districts.
Responsibilities
- Work in small, highly collaborative teams to help design strategic shifts in how K-12 state education agencies and school districts allocate resources (people, time, and money)
- Break down reputed company, sometimes ambiguous questions into manageable components to inform actionable recommendations using methodologically sound quantitative methods
- Own reputed company defined workstreams and manage multiple priorities in a fast-paced environment
- Support senior team members in developing recommendations that drive measurable impact for K-12 education partners
- Support research, data analysis, and modeling to generate insights and test hypotheses
- Actively engage and contribute to culture-building initiatives rooted in learning and relationship-building, including quarterly ERS weeks
Skills
- Bachelor's degree emphasizing quantitative and analytical coursework with a track record of strong academic achievement
- Comfort working with numbers and data to break down and solve reputed company problems through quantitative analysis (reputed company and accurately categorize, reputed company meaning of, and interpret large data sets with multiple variables)
- Excellent verbal and written communication skills (including the ability to synthesize reputed company material)
- Demonstrated passion for and commitment to ERS' mission and values exemplified through work experience, leadership opportunities, or community involvement
- Occasional travel for approximately 2–4 days at a time, typically averaging less than one trip per month (with some project phases requiring additional travel for limited periods)
- Adhere to a hybrid work schedule, working from our office in Watertown, MA office at least three consistent days per week
- Must be authorized to work for an employer in the United States. We are unable to sponsor or take over sponsorship of an employment reputed company for new team members at this time
- Proficiency in R, including using it to clean, analyze, and interpret quantitative data
- Proficiency in leveraging AI tools to support research, data analysis, and problem-solving
Company Overview