Manager of Data Analytics

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

What you'll do

• Build and manage a team of talented data analysts with the ability to not only keep up with, but also pioneer, in this space.
• Collaborate with leadership so that your team's work directly impacts company strategy and direction.
• Communicate with other engineering teams at MOLOCO to build the best mobile advertising platform in the world.
• Working cross-functionally with business and technical teams to support campaign management and team communication
• Campaign analysis: analyzing and visualizing data from lots of mobile apps to provide insights to existing and future campaigns using standard tools including SQL and proprietary dashboards
• Campaign optimization: engaging in the lifecycle of campaigns from setting up and monitoring daily performance to providing recommendation for stronger campaigns using our machine learning capabilities
• Business analysis: Extract and manipulate data, creating actionable recommendations for business decisions. This may include, but is not limited to, publishers, verticals, creatives, and internal workflow optimization through data insights

What you'll need to succeed

• Bachelor’s degree in engineering, statistics, or related field.
• Work experience in a leadership-level position of data science in an engineering department 
• 6+ years of experience in data analytics or science.
• Ability and desire to hit the ground running and to optimize results in order to leave things better than when you got them.
• Exceptional people skills with a proven record of building and maintaining strong professional relationships.
• Outstanding time management, organizational, and communication skills (both written and verbal).
• Strong attention to detail, and statistical background.
• Proactive team player with the ability to adapt to a fast growing tech company.
• Excellence in logical thinking, problem solving and proven familiarity with big data.
• Basic understanding of statistics fundamentals such as linear/logistic regression, hypothesis testing and binomial probabilities
• Comfortable with SQL and Excel; experience with R/Python is a plus.
• Experience working with data visualization tools like Looker and Tableau.