Description
Data Analytics Engineer
Online education is no longer a novel or niche idea. It is the fastest-growing segment in higher education, accounting for 20% of all enrollees and 35% of graduate-level certificates and degrees. It's also getting increasingly competitive, as more and better programs are launched each semester. Universities need to go online quickly, economically, and elegantly, creating programs that students can't wait to tell their friends about and that their professors want to teach.
Noodle helps universities bring programs online with flexibility, transparency, alignment, efficiency, and joy. That's why more top universities chose us last year than all other online program managers combined. We are a passionate team of technologists, educators, and experts. Online learning has the potential to transform higher education; if you’re interested in being part of that journey, keep reading!
About the Role:
As a Data Analytics Engineer at Noodle, you would build analytics products to inform strategic decision making, both internally and for our university partners. Our products help senior leaders understand successes and opportunities across all parts of the student journey, from engagement with our online marketing materials through enrollment, all the way to graduation.
As a Data Analytics Engineer at Noodle you will:
Be responsible for collaboratively building data analytics pipelines and dashboards for multiple stakeholders. This includes…
- Translating high-level product requirements into technical requirements
- Identifying new data we need and developing ingestion processes
- Clarifying business rules and implementing them in code
- Transforming data using SQL to power our analytics products
- Writing automated tests, documenting your work, and reviewing others’ work
- Building Tableau visualizations to make data actionable
- Teaching stakeholders how to use your products and incorporating their feedback
You have:
- Experience using git, complex SQL, and AWS to build and deploy data products
- Experience creating visualizations in Tableau
- Ability to work cross-functionally to iteratively develop data products and processes
- Experience analyzing data from digital marketing, CRM, SIS or LMS tools
- Experience using Python, dbt, AWS Athena, or CircleCI (Bonus)
At Noodle, we hire people who will help us change the future of online education. Even if you don't think you check off every bullet point on this list, we still encourage you to apply! We value both current experience and future potential
Noodle benefits:
- Work from our beautiful New York office! OR Work from the comfort of your home office!
- Competitive salary
- 401K + match, bonus potential, and equity opportunities
- Tools you need on us! Mac is our computer of choice
- Our insurance plan offers medical, dental, vision, short- and long-term disability coverage, plus supplementals for all employees and dependents
- 12 weeks paid Parental Leave
- Pre-tax commuter benefits
- 3 weeks paid vacation + paid holidays + paid sick leave
- Monthly Gym Reimbursement and Membership to premium medical services like One Medical and Eden Health
- Monthly cell phone reimbursement
- Annual education stipend for lifelong learning
- Growth - we pride ourselves on creating environments where employees can be themselves and grow within and around the company
Women, people of color, LGBTQIA2S+ individuals, and members of other underrepresented groups are strongly encouraged to apply. Noodle is an equal opportunity employer and does not discriminate against candidates on the basis of race, ethnicity, religion, sex, gender, sexual orientation, gender identity, disability status, or veteran status. Noodle is committed to creating a welcoming and inclusive workplace for everyone. We value and celebrate our differences because those differences are what make our team shine. We hire great people from different backgrounds, not just because it's the right thing to do, but because it makes us stronger as a whole. We are proud to be an equal opportunity workplace.
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