About ReUp Education
More than 40% of college students in the U.S. drop out -- some 37 million Americans in the last two decades. Many of these “Forgotten Students” leave college with mountains of debt (over $27 billion annually) and without the earning power of a diploma. The social, economic, and human potential loss is enormous.
While this completion crisis is alarming, ReUp has the solution. We are proud to work with some of the most diverse universities and colleges in the country -- tackling this problem together at scale.
Founded in 2015, we are the only organization that focuses exclusively on helping universities engage and re-enroll students who have “stopped out” and support them until graduation, through our technology-enabled service. To date, we have re-enrolled over 7,500 students and recaptured over $18 million in tuition for our university partners.
We are looking for an experienced analyst to dive deep into our data, work collaboratively across teams and share insights. You will play a central role in bringing data to the forefront of all decisions and be an important data advisor at the launch of new initiatives. If you are a curious analyst with strong SQL, Python and business acumen, then we want to hear from you!
This is an early stage role with extremely varying functions; from light data engineering, to data product, resulting analysis, insight generation and end recommendations. This is a full-time position.
Partner with marketing, product and coaching team to better understand our universities and students to enhance and strengthen our support systems.
Design dashboards and reports to communicate business trends and opportunities.
Validate data and ensure that we have data points for analysis.
Enable self-service analytics through BI enhancements.
Conduct ad hoc analysis to help clients discover new insights regarding current and prospective students.
Querying data lake and leveraging pre-existing data exports.
Analyze client data in SQL, statistical languages, and BI tools like Tableau.
Visualize findings and create dashboards to allow the broader team to understand and use data to power decision making.
Synthesize findings into actionable recommendations and present to clients and the internal team.
2-5 years of related work experience in analytics
Strong SQL and Python skills
Experience with at least one analytics & visualization tool such as AWS QuickSight, Tableau, Mode
Highly analytical and quantitative, with strong attention to detail
Ability to communicate complex ideas effectively
Bachelor’s degree in Mathematics, Statistics, Economics, Business or quantitative focused study
ReUp is a distributed company. You may join us in our San Francisco, CA office, or work remotely.
ReUp employees share a passion for supporting students as they embark on finishing what they started. We believe in the power of human potential and feel that in our bones and our culture. We really mean it when we say we care about hiring people from diverse backgrounds and building an equitable company.
We strive to create a safe and supportive environment where trust, communication, creativity, and humility are valued as highly as technical skills. We believe shared ownership builds a more resilient company, and we tackle hard problems, together. If that sounds like your dream work environment, we look forward to hearing from you.
Medical, dental, and vision insurance for employees; we pay 100% of the employee's premium and 50% of any dependents' premiums
Flexible time off and work from home policies
A diverse team that fosters a high level of collaboration despite being highly distributed
We will supply the tools you need to set your workspace up for success, including a Mac or PC laptop
ReUp Education, Inc. ("ReUp") provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, ReUp complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. ReUp expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of ReUp’s employees to perform their job duties may result in discipline up to and including discharge.