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Data Analyst at Coursera


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:

  • Expert Data Analysis:

    • Develop expertise in Coursera data, advertising platforms, and data pipelines.
    • Analyze extensive datasets to identify key trends and actionable business opportunities.
  • Dashboard Development and Reporting:

    • Construct dashboards for monitoring key metrics and implement reporting automation.
    • Provide marketing members with insights through paid media tracking and measurement.
  • Forecasting and Optimization:

    • Build accurate forecasting capabilities to optimize paid media budgets across various business metrics.
    • Contribute to ongoing optimization efforts for enhanced campaign performance.

Basic Qualifications:

  • Marketing Analytics Experience:

    • 2-3 years of experience in marketing analytics.
    • Proven track record in building actionable dashboards.
  • Forecasting Proficiency:

    • Demonstrated ability to develop accurate forecasts for key business metrics across multiple channels and segmentations.
  • Automation Skills:

    • Proven track record of providing automated solutions to reduce manual processes.
  • Technical Proficiency:

    • Expert-level proficiency in SQL.
    • Proficiency in Python for data manipulation, visualization, and modeling.
    • Experience with at least one data visualization platform (Looker, Tableau, etc.).

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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