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Salary: MXN 960,000 - 1,200,000 / annual
Coursera and Udemy have merged to create a comprehensive skills platform serving 300+ million learners and 12,000+ enterprise customers. The Data Science team drives product and business strategy through measurement, experimentation, and causal inference to deliver effective content discovery and personalized learning at scale.
You will report directly to the Director of Data Science and play a pivotal role in shaping marketing and product strategies through data-driven insights. Working closely with cross-functional teams—marketing managers, product managers, designers, and engineers—you will leverage expertise in user behavior tracking, segmentation, marketing performance measurement, instrumentation, A/B testing, and advanced analytics.
Key responsibilities include:
- Collaborating with marketing and product teams to define KPIs and assess the impact of marketing efforts and product changes on business goals
- Designing and implementing instrumentation strategies for accurate tracking of user interactions and data collection
- Developing and maintaining data pipelines to ensure seamless data flow and accessibility for analysis
- Analyzing user behavior to provide actionable insights that inform product enhancements and drive engagement
- Building and automating relevant KPIs to monitor business performance
- Conducting A/B testing and experimentation to evaluate the impact of product features and optimize user experience
- Performing advanced analytics to uncover trends and patterns in user data, guiding product development decisions
- Analyzing user feedback and survey data to gain insights into user satisfaction and identify improvement areas
- Creating interactive dashboards and reports to visualize data and communicate findings to stakeholders
- Leveraging statistical analysis and predictive modeling to inform product roadmap and strategic decisions
The ideal candidate possesses strong analytical skills, business acumen, and deep understanding of marketing and product principles. You should excel at translating analysis into actionable recommendations and communicating effectively with diverse audiences from individual contributors to executives.
Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or related technical field
- 6–9 years of experience using data to generate insights and recommendations for product or business teams
- Strong SQL skills and advanced proficiency in Python with experience using data manipulation libraries (Pandas, NumPy)
- Knowledge of data pipeline development and best practices in data management
- Strong applied statistics skills, including statistical inference techniques, predictive modeling, and A/B testing methodologies
- Intermediate proficiency in data visualization tools (Tableau, Power BI, Looker) and willingness to learn new tools
- Ability to quickly learn and leverage GenAI tools to design and implement custom automation agents
- Excellent business intuition and project management abilities
- Effective communication and presentation skills, with experience presenting to diverse teams and stakeholders
Preferred qualifications:
- Familiarity with the educational technology sector, specifically platforms like Coursera
- Experience with Airflow, Databricks, and/or Looker
- Experience with Amplitude
