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Salary: USD 150,000 - 175,000 / annual
Seated is a marketplace connecting restaurants with high-intent diners through demand-driven pricing and rewards. The company operates across 20+ U.S. markets, with billions in restaurant spend flowing through the platform and hundreds of millions in rewards paid to consumers.
You will own the numbers the company runs on as a senior, hands-on individual contributor reporting to the VP of Finance. This is a high-visibility role at a fast-moving company, working closely with the CEO, CRO, SVP of Engineering, and Director of Restaurant Success.
Key responsibilities include:
- Own recurring business reporting: weekly business reviews, daily pacing, partner data files and reconciliations
- Build and maintain executive and operational dashboards in BI tools
- Manage data access, refresh schedules, and reporting dependencies in partnership with Engineering
- Maintain data dictionary and lineage across warehouses and CRM
- Support month-end close with accurate transaction, rewards, and expiration data
- Own predictive models including GMV prediction and lead scoring, from retraining to ongoing improvement
- Convert model outputs into commercial decisions on sales targets, territory prioritization, and incentive design
- Lead deep dives on churn, restaurant performance, segmentation, and unit economics
- Own performance tracking and diagnostics across API and rewards partners, including partner business reviews
- Use cohort, segmentation, and expansion analysis to identify partner growth opportunities and risks
- Own the bottoms-up forecast and explain variances to plan
- Build monthly all-hands content and support investor diligence and fundraising
- Establish and maintain company metric definitions across all teams
- Automate recurring data requests using AI tools and scripting
Requirements:
- 5-7 years in strategy, analytics, FP&A, consulting, or similar role
- Strong SQL skills, including Redshift and PostgreSQL
- Strong Tableau skills
- Experience owning forecasting, financial modeling, and executive reporting
- ML literacy and hands-on experience managing predictive models
- Ability to distill complex analysis into clear, CEO-ready recommendations
- Strong partner and stakeholder management skills
- Comfort building and maintaining AI and LLM-based automations
- Ability to work independently on a small, high-visibility team
Nice to haves: Salesforce experience, Python and Jupyter, dbt or data engineering exposure, restaurant tech/card-linked offers/loyalty/rewards experience, board and investor reporting experience, high-growth startup or small strategy office background.
