Description
About the job
Emeritus is committed to teaching the skills of the future by making high-quality education accessible and affordable to individuals, companies, and governments around the world. It does this by collaborating with more than 50 top-tier universities across the United States, Europe, Latin America, Southeast Asia, India and China. Emeritus’ short courses, degree programs, professional certificates, and senior executive programs help individuals learn new skills and transform their lives, companies and organizations. Its unique model of state-of-the-art technology, curriculum innovation, and hands-on instruction from senior faculty, mentors and coaches has educated more than 250,000 individuals across 80+ countries.
Founded in 2015, Emeritus, part of Eruditus Group, has more than 1,800 employees globally and offices in Mumbai, New Delhi, Shanghai, Singapore, Palo Alto, Mexico City, New York, Boston, London, and Dubai. Following its $650 million Series E funding round in August 2021, the Company is valued at $3.2 billion, and is backed by Accel, SoftBank Vision Fund 2, the Chan Zuckerberg Initiative, Leeds Illuminate, Prosus Ventures, Sequoia Capital India, and Bertelsmann.
Job Description:
Emeritus is seeking a Data Analyst to join our client operations team on the Enterprise (B2B) team. This role will report into the Director of Client Operations. As part of the client operations team, which functions as the “back of ho/use” for our delivery function, this role will be responsible for working closely with the Director of Client Operations to establish and execute processes/best practices around measuring, tracking, and reporting on learner interest, participation, progress, and engagement. This person will also work closely with the account-owning members of our organization to analyze and present compelling data-backed success stories that support growing client accounts in high-caliber and intuitive visualizations.
Key Responsibilities
On an account-by-account basis, support data analysis and interpretation so our engagement team can tell better impact stories to our clients, which may include activities such as:
Report and Dashboard Development: Create persuasive and compelling reports that capture key insights around learning impact for our clients; create effective and intuitive dashboards to track learner participation, progress, and engagement.
Data Visualization and Storytelling: Utilize advanced visualization techniques to present complex data in an easily understandable format.
Learner and Client Insights Analysis: Analyze behaviors, patterns, trends, and interests of our learners and clients to provide insights to our account management and sales teams about potential upselling opportunities.
Cross-Functional Collaboration: Work closely with account management, sales, and technical operations teams to align data-driven insights with business objectives.
Enablement of learner measurement and account storytelling. Inform the client engagement and instructional design teams on the creation of measurement tactics to assess the participation, engagement, and learning outcomes of our programs.
Required experience
4+ years of experience in data analytics focused on insights and data storytelling
2+ years of experience in spreadsheeting software (like Excel or Google Sheets), SQL, and dashboarding software (like Tableau, Looker, or Power BI)
2+ years of experience in the creation of effective measurement tactics (surveys, assessments, interviews, polls, etc)
Strong analytical thinking and problem-solving skills.
Experience in a creative, highly collaborative, agile, ambiguous, and fast-changing environment.
Results-oriented. Organized & methodical. Ability to meet deadlines and multi-task under pressure.
Passion for Customer centricity, enablement, operations, innovation, and customer delight
Excellent verbal and written communication skills
Preferred experience
Previous experience as a Learning & Development Analyst, Marketing Analyst, or Business Analyst
A background in the professional learning/education space.
A quantitative background or degree.
Machine learning and artificial intelligence (ML/AI) technical skills will not be used in this position.
Salary Range Description:
Applicants must be currently authorized to work in the United States on a full-time basis. The compensation for this position ranges from $80,000 - $100,000 annually. Pay will be determined on several factors including but not limited to location, skills, experience and may vary from the range listed above. Additional compensation includes industry leading benefits Emeritus provides such as: a comprehensive benefits package, 401K savings plan, company holidays, flexible PTO, and parental leave, just to name a few.
Emeritus provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
.png)