Short Description:
Coursera is seeking a skilled Data Analyst based in India to join the
Consumer Marketing team. The role involves analyzing full-funnel paid
media, including performance marketing measurement, attribution
analysis, and forecasting. The candidate should possess 2-3 years of
marketing analytics experience, expertise in building dashboards, and
proficiency in SQL and Python. Preferred qualifications include
experience in marketing attribution, A/B test experimentation, and
adaptability to fast-paced, multi-geographic environments. As a
remote-first company, Coursera values diversity and equal opportunities,
encouraging individuals globally to apply.
Position: Data Analyst
- Location: India
- Job type: Remote
- Department: Consumer Marketing
About Coursera:
Coursera, founded in 2012 by Stanford Computer Science professors Andrew Ng and Daphne Koller, is a leading online learning platform dedicated to providing universal access to world-class education. With a mission to transform lives through education, Coursera boasts a user base of 136 million learners globally, partnering with over 300 universities and industry leaders to offer diverse courses, certifications, and degree programs.
Coursera is recognized as a B Corp since February 2021 and is committed to fostering a globally diverse team. We believe in extending equal employment opportunities to individuals in any country where we operate, ensuring compatibility with time zones for effective collaboration in our remote-first work environment.
Job Overview:
As a Data Analyst within the Acquisition organization, reporting to the paid media team, you will play a pivotal role in analyzing full-funnel paid media activities. Your responsibilities will cover diverse aspects, including performance marketing measurement, attribution analysis, conversion behavior examination, post-campaign evaluation, dashboard development, reporting automation, optimization, and forecasting.
Responsibilities:
Basic Qualifications:
Preferred Qualifications:
Advanced Analytics:
- Experience with marketing attribution and cross-channel measurement.
Experimentation Design:
- Ability to develop A/B test experimentation design and analysis.
Adaptability:
- Experience working in fast-paced, agile, ambiguous multi-geographic environments.
Courses on Coursera You Might Like:
- Marketing Analytics
- Applied Data Science with Python Specialization
- Google Advanced Data Analytics Professional Certificate
- International Marketing & Cross Industry Growth Specialization
Accommodation:
If you have a disability and require accommodation during the application process, please contact us at accommodations@coursera.org.
Please click here to apply.
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