Data Analyst

● Able to self-manage and work independently in a fast-paced environment with dynamic

requirements and priorities with strong ability to adapt quickly to changing priorities;

manage time, multiple tasks, and deadlines effectively

● Detail-oriented and impact-oriented; data-driven with your work

● Excellent interpersonal skills; skilled at creating material for an executive audience; skilled

at converting business requirements into consumable material

● Proactive mindset and desire to continually evolve the way we use data to drive impactful

insights

● Fast-learning, humble, high growth mindset, and thrives in a fast-faced, high-growth

environment

● Passionate about education and improving outcomes for students

● Committed to diversity, equity, inclusion, and belonging

● 3+ years of demonstrated ability and experience in advanced data analysis, modeling and

reporting, preferably with domain experience in CS/CX and retention performance

analytics

● Experience of problem solving using data, and data tools including visualization and

reporting tools

● Have advanced skillset using Excel for business and financial modeling; experience using

data visualization software (Looker, Tableau, etc) to deliver business insights

● Have proficiency using SQL to manipulate data and further analyses; additional technical

skills a plus (R, Python, etc)

● Knowledge of ETL (extract, transform, load) to support work

● Demonstrable experience of key analytic techniques inc. regression, clustering and

significance testing

● Familiarity with Enterprise Sales Infrastructure, such as Salesforce: The Customer Company and Renewals

Management/Customer Management software (i.e. Gainsight)

● Solid understanding of SaaS and/or Enterprise Sales business model and the proven

ability to perform in-depth analysis, compile and interpret results, and report and present

strategies and make recommendations to management