Thursday, June 22, 2017

Decision Scientist Facebook Menlo Park

Job Description: • 2-minute read •
The Marketing team focuses on building Facebook brand presence, improving user sentiment and product education. It is an exciting time at Facebook Marketing because understanding people and connecting them to Facebook and our products (and vice versa) is crucial for future growth. We are seeking a talented analyst who thrives at the Intersection of data, marketing, product and engineering. The successful candidate will support all things marketing at Facebook to help us make better decisions. The ideal candidate will have strong technical and analytical background – with a hunger to make significant business impact by owning and driving business outcomes. Strong time management and communication skills are critical, and a passion for Facebook 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

5+ 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 using SPSS, SAS, R, Matlab, or similar statistical packages
Experience with Python, Hadoop/Hive, & SQL required
Ability to thrive in an environment and collaborate with different individuals and organizations
Communication skills.
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
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