高级数据分析师
Senior Data Analyst
职位描述：
我们正在寻找一位有责任心、工作努力的高级数据分析师，加入我们接管按需印刷行业的努力。你将在一个国际化的环境中与才华横溢的团队成员一起工作，氛围轻松。你将接触到与按需印刷生态系统相关的丰富且多样的数据。
你的日常任务包括：
- 在各自团队中成为数据方面的专家
- 参与产品分析、运营分析和业务分析
- 通过即席和定期的数据分析提出建议，持续改进团队的产品功能
- 分析各个业务领域的内部、市场和客户层面的数据
- 将数据转化为可操作的见解
你将通过使用最先进的工具——Snowflake Intelligence、Snowflake 中的 Streamlit、Amplitude 等——快速提升自己的能力，获得真正的所有权、指导和大规模的影响。与我们的数据工程师合作，你将定义数据模型，并通过严格的 QA 流程确保数据质量。你将使用 Looker 的分析层，定义探索、度量和维度以支持强大的数据分析。
任职要求：
- 需要数学、物理、经济或相关定量领域的学士学位
- 具备良好的英文书面和口语沟通能力
- 至少 4 年的数据分析工作经验
- 能够展示并清晰地传达总结后的数据分析结果
- 精通 SQL 并有 Snowflake 或类似数据仓库的经验
- 熟练使用 Excel 进行数据分析
- 有使用 BI 工具创建交互式仪表盘和可视化图表的实际经验（熟悉 Looker 是加分项）
- 对数据建模和数据质量原则有扎实的理解
- 有事件跟踪和产品分析工具的实际经验（熟悉 Amplitude 是加分项）
- 有 A/B 测试和因果推断的实际经验
我们提供：
- 一个全球性、包容性的团队，既支持人又充满雄心，认真对待完成任务
- 远程工作的机会
- 灵活的工作时间（最晚可以上午 10 点开始工作）
- 私人健康保险
- 多出两天带薪假期，专注于你的心理健康或身体健康
- 多出一天带薪假期，用于庆祝生日或其他任何你选择的庆祝活动
- 学习预算，支持你的职业发展
- 接触导师，内部培训等
查看英文原文
About the role:
We are looking for a responsible and hard-working Senior Data Analyst to join our efforts in taking over the print-on-demand industry. You would work in an international environment with talented teammates in a casual atmosphere. You’ll have your hands on very rich and diverse data related to the print-on-demand universe.
Your daily tasks will include:
- Acting as a go-to data person within your respective team
- Engaging in product analytics, ops analytics and business analytics
- Continuously improving your team's product features with suggestions from ad-hoc and regular data analysis
- Analyzing internal, market, and customer levels of data regarding various business areas
- Translating data into actionable insights
You’ll level up fast by building production-grade analytics with state-of-the-art tools—Snowflake Intelligence, Streamlit in Snowflake, Amplitude, and more—gaining real ownership, mentorship, and impact at scale. In collaboration with our data engineers, you will define data models and ensure data quality through rigorous QA processes. You will work with Looker's analytical layer, defining explores, measures, and dimensions to support robust data exploration.
Your qualifications:
- Bachelor’s degree in mathematics, physics, economics or a related quantitative field required
- Strong written & verbal English communication skills
- At least 4 years of professional experience in data analysis
- Demonstrated ability to present and clearly articulate summarized data analysis results
- Advanced SQL skills and experience with Snowflake or similar data warehouses
- Proficiency in Excel usage for data analysis
- Hands-on experience with BI tools to create interactive dashboards and visualizations (Looker is a plus)
- Solid understanding of data modeling and data quality principles
- Hands-on experience with event tracking and product analytics tools (Amplitude is a plus)
- Hands-on experience with A/B testing and causal inference
What we offer:
- A global, inclusive team that’s as supportive as it is ambitious and serious about getting things done
- An opportunity to work remotely
- Flexible working hours (start your day as late as 10 AM)
- Private health insurance
- 2 extra paid days off to focus on your mental or physical well-being
- 1 extra paid day off to celebrate a Birthday or any other celebration of your choice
- Learning Budget to support your professional development.
- Access to mentorship, internal meetups, and hackathons, both on-site and online
- Exciting team-building events and parties you’ll never forget!
- Design and order your own merch using our platforms with an employee discount
FYUL is the engine that powers on-demand commerce at global scale.
Formed in 2024 through the merger of Printful, Printify, and Snow Commerce, we bring together tech, talent, and infrastructure to help people turn ideas into beautiful products.
From solo creators to entertainment giants, FYUL powers merch that connects with millions, backed by advanced tech, premium production, and global reach.
We're a fast-growing global company working toward powering great brands, great experiences, and great people.
We are an equal-opportunity workplace. We’re committed to diversity and inclusion and make hiring decisions based solely on qualifications, merit, and work experience.
If you think you’d excel in this role, send us your resume in English, showing us why you are the right person for the job.
Interested, but don’t think this is the right fit for you? Feel free to share it with friends and check out other open positions at our career site. We’re always looking for creative and driven minds to join our ever-growing team.
Originally posted on Himalayas