Data Analyst

Supper; New York (NY); Hybrid; USD 120,000 - 160,000; Full time

Job summary

A cutting-edge data analytics company in New York is seeking a Forward Deployed Data Analyst. In this full-time role, you will write and optimize SQL queries, collaborate with customers, and solve complex data problems. The ideal candidate has 2–5+ years of experience in analytics or data engineering, coupled with strong problem-solving and communication skills. This position offers a hybrid work model with 4 days in the office each month.

Qualifications

• 2–5+ years in analytics, data engineering, or BI roles in tech or startup environments.
• Deep experience with SQL; familiarity with data modeling, ETL/ELT, and BI tools.
• Strong organizational and communication skills – able to translate complex technical findings into clear recommendations.

Responsibilities

• Write, review, and optimize complex SQL queries and data models.
• Investigate and resolve issues across the AI analytics pipeline.
• Work directly with customers to understand their data structures.

Skills

SQL expertise

Data modeling

Problem-solving

Communication

Job description

Supper Provided Pay Range

This range is provided by Supper. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base Pay Range

$120,000.00/yr - $160,000.00/yr

About the Company

Supper is an AI-native data platform that makes your company’s information as easy to use as a conversation. Business teams at most high‑growth companies are held back by data request backlogs, overwhelmed by dashboards, or relying on outdated reports. Supper changes that. Anyone can just ask a question in plain English and get a clear, trusted answer. No SQL, no dashboards, no waiting. Supper’s chat agent guides users with follow‑ups, clarifies intent, and helps them drill into what they actually want to know – whether it’s sales tracking pipeline velocity, product digging into adoption, or finance monitoring margins. We’ve already helped teams answer over 100,000 real business questions. Supper connects to all your systems, cleans and unifies the data, learns your company’s unique metrics, and keeps everything live and auditable.

About the Role

Supper is building the next generation of AI‑powered analytics — and we’re looking for a Forward Deployed Data Analyst who thrives at the intersection of data modeling, SQL craftsmanship, and problem‑solving in fast‑evolving systems. You’ll work directly with customers and our internal engineering and product teams to ensure Supper’s AI reasoning layer translates business questions into correct, efficient, and insightful queries. You’ll diagnose query issues, optimize view and table design, and shape the data architecture that underpins our customers’ success. This is a role for someone who can think strategically about the design of data systems and tactically about how to fix what’s broken — a mix of detective, architect, and translator between humans and machines. As an early team member, you’ll play a key role in defining how Supper scales – both our product and our company.

Responsibilities

• SQL Mastery & Data Design: Write, review, and optimize complex SQL queries and data models. Understand deeply how base tables, derived views, and metrics layers interact. Propose structural improvements to simplify joins, reduce latency, and improve accuracy.
• System Diagnosis & Debugging: Investigate and resolve issues across our AI analytics pipeline – from question parsing and prompt translation to data retrieval and query execution.
• Customer Collaboration: Work directly with customers to understand their data structures, ensure Supper performs flawlessly in their environment, and surface insights that improve their analytics outcomes.
• Internal Feedback Loop: Translate customer challenges and recurring issues into actionable feedback for the product and engineering teams. Collaborate closely with founders to influence system architecture and performance strategy.
• Performance & Sync Optimization: Identify where syncing, schema design, or data transformation can be improved to boost system speed, reliability, and interpretability.
• Cross-Team Coordination: Serve as a bridge between customers, engineers, and account managers. Keep complex projects organized while juggling multiple priorities in a high‑velocity environment.

Qualifications

• 2–5+ years in analytics, data engineering, or BI roles in tech or startup environments
• Deep experience with SQL; familiarity with data modeling, ETL/ELT, and BI tools
• Strong organizational and communication skills – able to translate complex technical findings into clear recommendations
• High intellectual curiosity, low ego, and a bias for action
• Excited to work from Supper’s NYC office 4 days/month (1 remote day/week)

Required Skills

• Exceptional with SQL – not just writing queries, but thinking in SQL
• Clear communication with both technical and non‑technical stakeholders
• Enjoy structuring messy, fast‑changing systems into something elegant and scalable
• Thrive in an early‑stage startup with smart, intense teammates and constant evolution
• Love solving hard problems and working close to the frontier of AI and analytics

Preferred Skills

• Experience in customer interactions and product engagement
• Interest in contributing to AI tools and software development

Equal Opportunity Statement

Supper provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement.

Seniority Level

Associate

Employment Type

Full‑time

Job Function

Information Technology

Industries

Business Intelligence Platforms