With over a decade of experience creating digital talent at scale, Udacity’s comprehensive solutions address the global talent shortages impacting growth, productivity, and innovation. Our exceptional curriculum, personalized mentor support, and measurable outcomes create expertise with a focus on the in-demand competencies that ensure workplace relevance. Udacity is now part of Accenture.

As a Senior Data Analyst on the Global Consumer Product team, you will be one of the key partners for product managers and business leaders at Udacity to help inform our product and strategy decisions. You will provide insights about our students behavior and business metrics, and help develop a data team strategy to ensure Udacity makes data-driven product and business decisions.

Responsibilities

• Contribute to the strategy for data analytics, insights, and infrastructure at Udacity
• Build dashboards and tools that provide insight around key metrics for various payment platforms.
• Perform ad hoc analysis and data modeling to understand and predict behavior trends, in order to optimize growth and engagement
• Provide organizational support to ensure data integrity, consistent data definitions, and efficient data storage
• Assist in designing product experiments, analyze the results of these experiments (e.g. A/B tests), and produce reports and insights
• Collaborate with cross-functional team members including product managers and other software engineers to deliver compelling products/services
• Be a thought leader in the data and product teams around experimentation and product insights

Qualifications

• Background in applied math, computer science, statistics, finance or related technical field, and 4+ years of industry experience
• Extensive experience with relational databases and SQL
• Prior experience with data cleaning and modeling
• Prior experience with product behavior and funnel data preferred
• Excellent data communication and story telling ability
• Advanced SQL is preferred
• Experience deriving and presenting insights from data analyses to product and/or business leaders
• Nice to have: Experience with at least one scripting language (e.g. Python)