Bachelor's degree in Engineering, Math, Quantitative Science, or related technical field, or equivalent practical experience.
1 year of experience working in data analytics, consulting, data science, engineering, or a technical operations role.
1 year of experience in statistical problem-solving and analyzing data sets using SQL or comparable coding language (e.g., Python, R, Java, C++).
Preferred qualifications:
Experience converting data into insights and enabling the team to deploy learnings.
Experience creating executive communications (e.g., memos, slide decks, etc.) and presenting to non-technical audiences.
Responsibilities
Collect, analyze, and interpret complex product, support, and business operations data to identify trends, patterns, and areas for improvement, and to monitor A/B testing and experiments.
Define, track, and report on key performance indicators (KPIs) related to support channel effectiveness, user behavior, and support system performance, and communicate these insights.
Identify opportunities to optimize support processes and recommend data-driven solutions with an understanding of underlying systems and technical constraints.
Partner with product managers, engineers, and support teams to ensure data-driven decisions are integrated into product development and support operations, and communicate technical information to non-technical audiences.
