We're looking for a candidate to join the consumer product marketing team at WhatsApp, focused on building brand presence, improving user sentiment and product education. We are seeking an independent thought leader who thrives at the intersection of data, marketing, and product. This candidate will own the measurement of all marketing efforts at WhatsApp, and help the rest of the team set goals and priorities. The role will report into the director marketing and tap into a part of company-wide community of data scientists, data engineers and analysts: sophisticated tools, and advanced computational resources. Strong time management and communication skills are critical, and a passion for WhatsApp is a must.
Responsibilities
Partner with marketing, research and product organizations to design, execute, measure and improve the impact of marketing efforts.
Translate data insights into actions and recommendations that will drive brand sentiment, user growth and engagement, and marketing effectiveness.
Develop quantitative analysis, ad hoc reports, and models to support marketing decision making. Analysis areas might include (but not limited to) retention, lifetime value, messaging, promotions, usage and engagement.
Produce visuals (charts, infographics) and presentations to clearly and effectively communicate findings to internal stakeholders.
Design and implement reporting dashboards that track key metrics and performance trends, and provide actionable insights to marketing leadership.
Analyze and maintain marketing metrics to identify cause-effect relationships between marketing actions and behavioral & attitudinal outcomes.
Minimum Qualifications
7+ years of experience in data analysis.
Statistical and data analysis/modeling skills (e.g. significance testing, regression modeling, etc.)
Direct experience working with data-sets.
Experience with Python, Hadoop/Hive, & SQL.
Ability to thrive in an environment and collaborate with different individuals and organizations.
Communication skills to represent marketing analytics in cross-functional discussions.
Preferred Qualifications
Master's or Doctorate degree in psychology, statistics, economics, behavioral or social science or a related quantitative field.
MBA or Management consulting experience.
Experience using SPSS, SAS, R, Matlab, or similar statistical packages.
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