Senior Manager, Strategy & Analytics

Seated•New York, NY

22h•$150,000 - $175,000•Onsite

About The Position

About Seated Seated exists to help restaurants thrive in an industry defined by thin margins and underutilized capacity. We connect thousands of restaurants with millions of high-intent diners through demand-driven pricing and rewards, helping restaurants fill empty tables, reach new guests, increase visit frequency, and drive profitable incremental revenue. Since launching, billions of dollars in restaurant spend have flowed through Seated, and hundreds of millions of dollars in rewards have been paid to Seated consumers. Today, Seated operates across 20+ U.S. markets and continues to expand nationally. Our core marketplace is thriving. Now, we’re focused on expanding the value Seated creates for restaurants and consumers and building the company’s next major growth engine. See it for yourself: seatedapp.io (restaurant side) getseated.seatedapp.io (diner side) Seated on iOS Seated on Android Role Overview We're hiring a Senior Manager of Strategy & Analytics to own the numbers the company runs on. You'll be the go-to person for partner performance, forecasting, all-hands reporting, and our predictive models, and you'll make sure every number holds up before it reaches leadership, partners, or the board. This is a senior, hands-on individual contributor role with no direct reports to start. You'll report to the VP of Finance and work closely with the CEO, CRO, SVP of Engineering, and Director of Restaurant Success, along with leaders across Sales and Partnerships. It's a high-visibility seat at a small, fast-moving company.

Requirements

5-7 years in strategy, analytics, FP&A, consulting, or a similar role.
Strong SQL, 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 experience.
dbt or data engineering exposure.
Experience in restaurant tech, card-linked offers, loyalty, or rewards.
Board and investor reporting experience.
Experience at a high-growth startup or in a small strategy office.

Responsibilities

Own recurring business reporting, including weekly business reviews, daily pacing, and partner data files and reconciliations.
Build and maintain executive and operational dashboards in our BI tools.
Own data access, refresh schedules, and reporting dependencies, partnering with Engineering to keep them reliable.
Maintain the data dictionary and lineage across our warehouses and CRM.
Support month-end close with accurate transaction, rewards, and expiration data.
Own our predictive models, including GMV prediction and lead scoring, from retraining and monitoring to ongoing improvement.
Turn 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 our API and rewards partners, including partner business reviews and escalations.
Use cohort, segmentation, and expansion analysis to find partner growth opportunities and risks, and to inform pricing, rate cards, and restaurant-level optimization.
Own the bottoms-up forecast, run forecast reviews with functional leaders, and explain variances to plan.
Build monthly all-hands content, and support investor diligence, fundraising, and competitive analysis.
Own company metric definitions and make sure every team uses them the same way.
Automate recurring data requests with AI tools and scripting.