Coursera
Mountain View, CA
501-1,000 employees
We envision a world where anyone, anywhere has the power to transform their life through learning.
Prior Listings
- Product Manager, Data & Admin Products
- Data Science Intern, Machine Learning (Fall 2021) - Canada
- Senior Data Scientist, Decision Science
- Sales Engineer/Skills Transformation Consultant - Data Expert
- Senior Data Engineer
- Data Engineering Intern (Fall 2021)
- Data Scientist II, Machine Learning
- Senior Data Scientist
- Data Science Intern, Machine Learning
- Senior Data Scientist, Machine Learning
- Sr Data Scientist, Machine Learning
- Data Science Manager
- Data Scientist, Decision Science
- Senior Data Scientist, Machine Learning
- Skills Consultant - Data Science Academy
- Data Science Intern, Decision Science (Fall 2021) - Canada
- Data Scientist, Decision Science
- Data Science Fellow, Decision Science
- Data Scientist, Decision Science - Skills Graph & Insights
- Senior Machine Learning Scientist - Search
Skills Consultant - Data Science Academy
Skills Consultant - Data Science Academy
This job is no longer open
Coursera was launched in 2012 by two Stanford Computer Science professors, Andrew Ng and Daphne Koller, with a mission to provide universal access to world-class learning. It is now one of the largest online learning platforms in the world, with 87 million registered learners as of June 30, 2021. Coursera partners with over 200 leading university and industry partners to offer a broad catalog of content and credentials, including Guided Projects, courses, Specializations, certificates, and bachelor’s and master’s degrees. Institutions around the world use Coursera to upskill and reskill their employees, citizens, and students in many high-demand fields, including data science, technology, and business. Coursera became a B Corp in February 2021.
The Skills Consultant will have the ambitious responsibility of helping Coursera understand the needs of our Data Science Academy B2B Enterprise customers. These buyers are responsible for the training, upskilling, and reskilling of professionals at their company in Data Science. You will conduct qualitative and quantitative research with our internal teams, Enterprise customers, and Enterprise learners to understand what are the greatest pain points and needs for our Enterprise customers. For the fullest picture, you will also conduct market research and a competitive analysis, and marry these learnings with the insights you have gleaned internally and from customers. The output of your work will be a skills needs/gap analysis, the conceptual grouping of skills into “SkillSets” so they make sense to learners and can be “sold” as a package to companies, and recommendations on how these skills ladder to content that Coursera should source. You will be expected to present on your findings and output to the highest level stakeholders at Coursera with a data-forward and strategically cohesive narrative.
Responsibilities
- Collaborate with internal Coursera teams including Content Strategy, Enterprise, Marketing, and Data Science to gain context on SkillSets work, and ensure that your work dovetails
- Work with SkillSets: identifying the relevant skills, content and roles to create SkillSets for Data Science Academy. Ensure content quality for SkillSets before launch. Update SkillSets based on all feedback collected quarterly. Review and validate questions included in LevelSets
- Conduct qualitative research (e.g., interviews, surveys) with Coursera internal stakeholders and B2B Enterprise buyers to understand pain points and needs of the Data Science Academy Enterprise buyer
- Review nuanced consumption data showing both B2B deals and enrollments in the skills that underlie the Data Science Academy
- Conduct market research and a competitive analysis to round out your view of pain points and opportunities -- placing insights in a broader context
- Present on your findings and output to the highest level stakeholders at Coursera with a data-forward and strategically cohesive narrative, join sales calls with enterprise clients to help them understand the benefits of the academy.
Basic Qualifications
- 5+ years of experience in Data Science and related industry trends.
- Experience with data and analytics
- Demonstrated history with Microsoft Excel and PowerPoint
Preferred Qualifications
- Master’s, Doctorate, or equivalent work experience in your field
- Strong research skills, including persona research and interviewing
- Ability to manage and communicate with multiple stakeholders
- Experience with B2B businesses -- especially international companies
- Passion for learning and edtech in particular
If this opportunity interests you, you might like these courses on Coursera:
IBM Data Science
Applied Data Science with Python
Coursera is an Equal Employment Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, age, marital status, national origin, protected veteran status, disability, or any other legally protected class.
If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, please contact us at accommodations@coursera.org.
Please review our CCPA Applicant Notice here.
This job is no longer open