Senior Data Analyst, Supply
赛特基克认为现场活动是强大的体验,将人类团结起来。我们通过技术知识和粉丝优先态度,我们正在简化和现代化票行业。我们寻找一位高级数据分析师加入我们的分析团队并专注于赛特基的市场供应方面。你将与整个供应组织中的利益相关者合作,额外关注我们的卖家和面向客户团队。使用先进的分析,你将原始数据转换为塑造决策,表面机会和可测量的结果的见解。这是一个高影响力的个人贡献者角色,为一个人来说,他喜欢模糊性,知道如何将业务战略与市场和产品数据联系起来,并热衷于识别最有意义的机会来改善用户和商业结果。作为 SeatGeek Analytics 团队成员,你将能够与一群高绩效分析师,数据科学家和工程师合作学习。你会做什么 · 深入了解现场活动业务以及供应动态如何推动市场健康 · 与供应,产品和工程团队的利益相关者合作,了解他们的目标并制定分析路线图来支持这些目标 · 指导卖方政策决策,如费用,履行标准和卖方业绩要求,量化交易事先和测量发布后的影响 ·直接与客户成功和娱乐团队合作,管理我们的与体育团队和场所关系,确定最大限度地提高我们伙伴关系价值并帮助我们的客户发展他们的业务的机会 · 用数据驱动的见解为销售人员关系加强和发现增长机遇提供资金管理员 ·利用一流的 AI 开发工具来构建测量框架,开发关键报告和与工程师合作以推动功能快速代,比以往任何时候都更快地实现想法 ·进行探索性和根源分析,解释性能变化以及改善机会的表面口袋 ·将复杂分析转换为明确,数据驱动的叙述和建议,以便内部领导者 ·创建或改进关键数据集并贡献我们的分析工具生态系统 (例如 dbt, Hex)确保我们能够回答今天的问题和未来问题
查看英文原文
SeatGeek believes live events are powerful experiences that unite humans. With our technological savvy and fan-first attitude we’re simplifying and modernizing the ticketing industry.
We're looking for a Senior Data Analyst to join our Analytics team and focus on the supply side of SeatGeek's marketplace. You'll partner with stakeholders across the Supply organization, with extra focus on our seller and client-facing teams. Using advanced analytics, you'll turn raw data into insights that shape decisions, surface opportunities, and drive measurable results.
This is a high-impact individual contributor role for someone who thrives on ambiguity, knows how to connect business strategy to marketplace and product data, and has a passion for identifying the most meaningful opportunities to improve user and business outcomes. As a member of SeatGeek’s Analytics team, you will be able to collaborate with and learn from a group of high-performing analysts, data scientists, and engineers.
What you'll do
- Develop a deep understanding of the live events business and how supply dynamics drive marketplace health
- Partner with stakeholders on the Supply, Product, and Engineering teams, understanding their objectives and defining an analytics roadmap to support those goals
- Guide seller policy decisions — such as fees, fulfillment standards, and seller performance requirements — by quantifying trade-offs up front and measuring impact after launch
- Work directly with the Client Success and Entertainment teams that manage our relationships with sports teams and venues, identifying opportunities to maximize the value of our partnerships and help our clients grow their businesses
- Equip account managers with data-driven insights to strengthen seller relationships and uncover growth opportunities
- Leverage first-class AI dev tools to build out measurement frameworks, develop key reporting, and collaborate with engineers to drive rapid iteration of features, bringing ideas to life faster than ever before
- Conduct exploratory and root-cause analysis to explain shifts in performance and surface pockets of opportunity for improvement
- Translate complex analysis into clear, data-driven narratives and recommendations for internal leaders
- Create or improve key datasets and contribute to our analytical tooling ecosystem (e.g. dbt, Hex) to ensure we can answer today’s questions and tomorrow’s
What you have
- 4+ years of experience working in analytics, data science, or adjacent roles — preferably in tech, ecommerce marketplaces, or consumer products
- Expert-level knowledge of SQL and experience performing analysis with large datasets
- Demonstrated ability to own ambiguous problem spaces, from framing questions to delivering recommendations
- Strong communication skills — able to simplify complex analyses, defend methodology choices, and inspire action through insights
- Excited to contribute to a team culture centered around curiosity, humility, and impact
- A track record of influencing business strategy with data
- Nice-to-have: Domain expertise or past experience with a two sided marketplace
Our stack
You absolutely do not need experience with all of these, but we thought you might be curious. Tools can be learned, so we care much more about your general engineering skill than knowledge of a particular language.
- Required languages: SQL (Python nice-to-have)
- Data Warehouse: Redshift
- Dashboarding: Looker & Hex
- Version control: GitLab
- AI tooling: Claude Code, Hex Agent
- Scheduling/Orchestration: Airflow
- ETL: Fivetran, Python and dbt
- Event Stream: mParticle
- Experimentation: Eppo
- Product Analytics: Mixpanel
Perks
- Equity stake
- Discretionary annual bonus
- Flexible work environment, allowing you to work as many days a week in the office as you’d like or 100% remotely
- A WFH stipend to support your home office setup
- Unlimited PTO
- Up to 16 weeks of fully-paid family leave
- 401(k) matching
- Student loan matching program
- Health, vision, dental, and life insurance
- Up to $25k towards family building, reproductive health services and Gender-affirming care
- $500 per year for wellness expenses
- Subscriptions to Headspace (meditation), Headspace Care (therapy), and One Medical
- $360 per quarter to spend on tickets to live events
- Annual subscription to Spotify, Apple Music, or Amazon music
The salary range for this role is $108,000 - $157,000 USD. This role is equity eligible. In addition, you may receive a discretionary annual bonus based on individual and company performance. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, certifications, and specific location.
SeatGeek is committed to providing equal employment opportunities to all employees and applicants for employment regardless of race, color, religion, creed, age, national origin or ancestry, ethnicity, sex, sexual orientation, gender identity or expression, disability, military or veteran status, or any other category protected by federal, state, or local law. As an equal opportunities employer, we recognize that diversity is a positive attribute and we welcome the differences and benefits that a diverse culture brings. Come join us!
To review our candidate privacy notice, click here.
Originally posted on Himalayas