Insight and Analytics Analyst

Essential Responsibilities

• Analyze performance data by segmentation; interpret and translate data into action to inform business decisions.
• Build strong business partnerships with internal customers by providing timely, accurate, and actionable data.
• Educate internal stakeholders about customer analytics, prioritizing the right KPIs, and methods to optimize business results.
• Produce actionable insights and data-driven recommendations for business and monetization strategies.
• Apply business analytics through ad-hoc reporting and custom scripting to drive optimization of various ad campaigns.
• Design, create, alter, validate, and maintain data solutions, across multiple platforms, and computing environments that meet business needs.
• Present findings in a contextual, visual data story so business users can know within minutes what the business context is, what’s changed, and what’s most relevant at that moment in time.
• Communicate complex quantitative analyses in a clear, precise, and actionable manner to a cross-functional team.

Qualifications

• Motivated, analytical professional committed to continuously enhancing products, processes, and business outcomes through innovative data solutions.

Education and Experience

• Bachelor’s degree (or higher) in relevant field such as Statistics, Economics, Mathematics, Analytics or Computer Science preferred.
• 2-5 years of experience with data analysis and insights including: data integration, statistical modeling, customer insights, and data visualization.

Other Qualifications

• Ability to leverage multiple data sets to produce actionable insights related to customer behavior, application performance, and risk management.
• Skilled at partnering with business-owners and IT resources to improve the ability to measure and evaluate audience engagement and more fully understand customer experiences.
• Ability to collaborate with developers and testers to implement, validate, and maintain analytics and reporting ensuring data integrity.
• Proven success identifying data gaps or issues and resolving analytics implementation issues, including working directly with vendors as needed.
• Expert knowledge of an analytical tool such as SAS, R, Matlab, STATA, or Python.
• Experience with relational databases and SQL.
• Experience working with large data sets and distributed computing tools such as Hadoop, Map/Reduce, Hive, etc.