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# Senior Data Analyst, Supply

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[Apply for this job](#job-application)[View company](https://jobicy.com/company/seatgeek.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md)SalaryUSD 108k–157k / yrDepartment[Data Science & Analytics](https://jobicy.com/categories/data-science.md)EmploymentFull TimeExperienceSeniorPublished19 Oct 2026Apply before18 Nov 2026Listing views37Application actions1Application toolkit

## Make your next move.

Prepare your resume, explore your fit, and draft a cover letter for this opportunity.

AI Summary

## The role, at a glance.

SeatGeek is hiring a Senior Data Analyst to support the supply side of its live-events marketplace, including seller policies, client partnerships, and account-management insights. This individual contributor will use advanced SQL-based analysis to investigate performance shifts, quantify trade-offs, and turn ambiguous business questions into recommendations. The role works closely with Supply, Product, Engineering, Client Success, and Entertainment stakeholders while improving reporting, datasets, and measurement frameworks. Core tools include Redshift, Looker, Hex, dbt, Airflow, Fivetran, Mixpanel, Eppo, and GitLab, with Python useful but not required. The position is remote within the United States and offers optional office attendance.

## Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

### Job Complexity

4/5EasyHard

### Pace & Pressure

4/5RelaxedFast-paced

### Autonomy Level

5/5GuidedFull ownership

### Communication Load

5/5IndependentCollaborative

AI insightThis is a senior, high-impact analytics role requiring expert SQL, comfort with large datasets, and independent ownership of poorly defined marketplace problems. Success depends on both rigorous analysis and the ability to influence cross-functional business and product decisions.

## Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate$132,500US market range (per year)$110k–$165k0$181.50k

AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer discloses a USD 108,000–157,000 salary range. Although the posting does not state a pay cadence, yearly compensation is inferred from the amount, seniority, US location, and standard full-time professional-role conventions. The estimated US market range for a senior marketplace data analyst is USD 110,000–165,000 per year; actual pay may vary by location, relevant marketplace experience, and technical depth.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[SQL](https://jobicy.com/jobs?search_keywords=SQL.md)[Data analysis](https://jobicy.com/jobs?search_keywords=Data%20analysis.md)[Marketplace analytics](https://jobicy.com/jobs?search_keywords=Marketplace%20analytics.md)[Business intelligence](https://jobicy.com/jobs?search_keywords=Business%20intelligence.md)[Root-cause analysis](https://jobicy.com/jobs?search_keywords=Root-cause%20analysis.md)[Data storytelling](https://jobicy.com/jobs?search_keywords=Data%20storytelling.md)[Stakeholder management](https://jobicy.com/jobs?search_keywords=Stakeholder%20management.md)[dbt](https://jobicy.com/jobs?search_keywords=dbt.md)[Looker](https://jobicy.com/jobs?search_keywords=Looker.md)[Hex](https://jobicy.com/jobs?search_keywords=Hex.md)[Redshift](https://jobicy.com/jobs?search_keywords=Redshift.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[Experimentation](https://jobicy.com/jobs?search_keywords=Experimentation.md)[Product analytics](https://jobicy.com/jobs?search_keywords=Product%20analytics.md)[Airflow](https://jobicy.com/jobs?search_keywords=Airflow.md)

Sample interview questionsHow would you evaluate whether a proposed seller-fee change is beneficial to the marketplace?I would define the intended business outcome and identify likely trade-offs, such as supply retention, listing volume, conversion, margin, and buyer experience. I would establish baselines, segment sellers by behavior and value, and recommend an experiment or phased rollout with clear guardrails. After launch, I would measure causal impact where possible and communicate both the aggregate outcome and important segment-level effects.

Describe your approach to investigating an unexpected decline in ticket supply or seller activity.

I would first validate the metric definition and pipeline freshness, then decompose the decline by seller cohort, event type, geography, acquisition channel, and time period. I would compare the timing against policy, product, pricing, and operational changes and use drill-down analysis to isolate the largest contributors. I would summarize the evidence, confidence level, likely drivers, and recommended next actions for stakeholders.

How do you turn an ambiguous stakeholder request into an analytics roadmap?

I start by clarifying the decision the stakeholder needs to make, the desired outcome, and the constraints involved. I translate that discussion into measurable questions, define success metrics and required data, prioritize analyses by impact and feasibility, and align on milestones. I revisit the roadmap as findings emerge so the work remains focused on decisions rather than simply producing reports.

What practices would you use to make a key supply-performance dashboard trustworthy and useful?

I would document metric definitions, establish a reliable semantic layer or curated dataset, add data-quality checks, and ensure refresh timing is visible. The dashboard should emphasize decision-relevant trends, comparisons, and drill paths rather than excessive charts. I would also gather user feedback from account managers and supply leaders to improve usability and ensure adoption.

How would you communicate a complex analysis when the result challenges a stakeholder’s initial assumption?

I would lead with the business question and the conclusion, then explain the supporting evidence in plain language. I would be transparent about methodology, assumptions, limitations, and alternative interpretations, using clear visuals or examples where helpful. My goal would be to make the analysis constructive by pairing the finding with practical options for action and a plan to validate the recommendation.

Opportunity details

## About this role.

### 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](https://seatgeek.com/privacy/USApplicantNotice).

### #LI-Remote

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[Apply now >](https://jobicy.com/jobs/155849-senior-data-analyst-supply.md)

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