Data Analyst – Advertising

Summary:
We are looking for a seasoned Data Analyst to work on advertising products. The typical candidate should have a background in a quantitative or technical field, experience working with large data sets, and experience in data-driven decision making. An ideal candidate would have prior experience working in advertising or marketing analytics, and has demonstrated success in using analytics to drive the understanding, growth, and success of a product.
Job Responsibilities

• Applying expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products
• Forecasting and opportunity sizing
• Designing and evaluating experiments
• Monitoring key product metrics, and understanding root causes of changes in metrics
• Building and analyzing dashboards and reports
• Building key data sets to empower operational and exploratory analysis
• Evaluating and defining metrics
• Performing exploratory analyses
• Understanding ecosystems, user behaviors, and long-term trends
• Identifying new levers to help move key metrics
• Building models of user behaviors for analysis or to power production systems
• Influencing product teams through presentation of data-based recommendations
• Communicating state of business, experiment results, etc. to product teams
• Working in Hadoop and Hive primarily, sometimes MySQL, Oracle, and Vertica
• Automating analyses and authoring pipelines via SQL and Python based ETL framework
• Reviewing existing databases and database management systems and directing engineers and analysts to make changes.
• Coordinating database development and determining project scope and limitations.
• Reviewing project requests describing database user needs to estimate time and cost required to accomplish projects.
• Approving, scheduling, planning and supervising the installation and testing of new products and improvements to computer systems.
• Planning, coordinating, and implementing security measures to safeguard information in computer files against accidental or unauthorized damage, modification or disclosure.
• Developing standards and guidelines to guide the use and acquisition of software and to protect vulnerable information.

Minimum Qualification

• Bachelors/Masters Degree with 4+ years (or PhD with 2+ years) of experience in the following areas:
• Data or analytics work, or work similar to Facebook Analytics
• Complex quantitative analysis and working with distributed (i.e. Hive, Hadoop or similar databases) or highly complex datasets
• Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, MATLAB)
• Applied statistics or experimentation (i.e. A/B testing) in an industry setting
• 2+ years of experience communicating the results of analyses to leadership teams to influence the strategy

Preferred Qualification

• Experience in a consumer technology company
• Experience in the advertisement industry

IND123