Data Analyst Jobs in San Francisco, CA at Twitch
Title: Data Analyst
Location: San Francisco, CA
Salary: $80K – $100K*
Data is central to Twitch’s decision-making process, and analysts are a critical component to promote data-driven decision making in all of our operations. As an analyst at Twitch, you will be in on the ground floor with your team, shaping the way product performance is measured, defining what questions should be asked, and scaling analytics methods and tools to support our growing business, leading the way for high quality, high velocity decisions for your team.
Evangelize data knowledge and insights: manage communications with your stakeholders and other teams, collaborate with both technical and non-technical colleagues to complete data projects and ensure all parties can use the insights to further improve.
Maintain a customer-centric focus: aim to be a domain and product expert through data, develop trust amongst your peers and stakeholders, and ensure that your team has access to data to make decisions.
Work with stakeholders and mentors to distill the problem, adapt your tools to answer complicated questions, and identify the trade-offs between speed and quality of different approaches.
Create analytical frameworks to measure team success: partner with cross-functional teams to define success metrics, create approaches to track the data and troubleshoot errors, quantify and evaluate the data, then develop a common language for all colleagues to understand these KPIs
Operationalize data processes – provide the team with ad-hoc analysis, automated dashboards, and self-service reporting tools so that everyone gets a good sense of the state of the business
3+ years of industry experience in a relevant field
A/B testing experience with an understanding of hypothesis testing and power analysis
Expert SQL skills–your ability to tap into our data pipeline will be key to your success
Proven track record of using data to create insight and achieve our goals
Fluency in data analysis and communication around data, including time series analysis, experimentation, data visualization, and defining KPI strategy for your business.