Data Analyst, Supply

Shiftsmart, Inc.; New York (NY); Hybrid; USD 90,000 - 130,000; Full time

Job summary

Shiftsmart, Inc. is seeking a Data Analyst to join our Supply team in New York City, with typically 3+ days per week in the office. You will build data models, run analyses, and drive actionable insights to optimize partner supply and fill rates across the marketplace.

Ideal candidates have 2–4+ years in analytics, strong SQL skills, and experience with Python for data analysis and modeling. You will collaborate cross-functionally to translate business needs into data-driven solutions.

Qualifications

• 2–4+ years of analytics, data science, data engineering, or similar analytical role.
• Strong SQL skills with ability to write complex queries.
• Experience with Python (pandas) for analysis and modeling.

Responsibilities

• Scale the Supply Model by expanding core DBT data tables to support decisions across the partner organization.
• Investigate and diagnose data anomalies and unexpected changes in business performance end-to-end.
• Operational Analytics: build and maintain BigQuery analyses and core data tables for day-to-day decisions.
• Maintenance and Reliability: maintain core data tables in DBT across the Supply team and related areas.
• Predictive Analytics: develop and iterate on predictive models to identify operational risks.
• Cross-Functional Collaboration: work with Supply, Marketplace, Partner Success, Product and Engineering to translate problems into data requirements.

Skills

SQL

Python

Analytical thinking

Tools

DBT

BigQuery

Job description

Why Shiftsmart

We're building the Amazon of labor. We're a labor platform pairing end-to-end workforce management technology with a rapidly growing global network of 5M flexible workers to create scalable labor solutions for the largest companies in the world, like Circle K, Pepsi, Dollar General, Starbucks and more. Our unique business model fractionalizes jobs down to shifts and makes it easy for workers to work across multiple companies through a digital marketplace. We're one of the fastest-growing startups in the country. We've grown 2-3x each year since we started and raised $120M+ from top-tier investors including D1 Capital & Imaginary Ventures ...and we're only getting started.

Our mission is to build the world's leading platform for hourly workers and enterprises enabling flexibility, choice, and upward social mobility.

Join a rocketship. This is a unique opportunity to join the ground floor of a rapidly scaling business that is changing the way hourly labor works and capturing a $2 trillion dollar opportunity in the US alone.

Ownership + impact. Join a team that is challenging and supporting one another to build a great business and create flexibility, choice, and upward social mobility for workers everywhere.

Captain your career path. Enjoy accelerated learning and growth working with a world-class team from top tech companies (e.g. Uber, Airbnb, Google, Amazon), business schools (e.g. HBS, GSB, Wharton), and professional services (e.g. Bain, BCG, Goldman).

Become a world-class executor. We believe that #ExecutionIsBinary, and are dedicated to helping you master that skill for life here and beyond.

Team Mission

The mission of the Supply team is to manage Shiftsmart's partner (or worker) supply to ensure that we have enough high-quality partners to fill shifts for our customers. The Supply team is responsible for ensuring partners download the app, are prepared for their first shift, and have a positive onboarding and first shift experience. The Data Analyst will build and maintain core data tables and models across the partner (worker) success, marketplace, and supply team to directly drive and increase fill rate and fulfillment quality across the company. You will be instrumental in designing new business processes for scale, building and launching new initiatives, and optimizing existing ways of working.

This role is based in New York City (HQ) with typically 3+ days per week in the office.

Outcomes

• Scale the Supply Model : Build on the foundation of the existing supply model by expanding the concept of core DBT data tables that dynamically support decisions across the broader Partner (worker) organization. You will help turn data models into foundational infrastructure that allows the business to respond to real-world outcomes with less manual intervention.
• Investigate and diagnose data anomalies and unexpected changes in business performance end-to-end. When something looks wrong you will trace the issue through our data pipeline to identify the underlying root cause and determine the appropriate solution
• Operational Analytics: build and maintain BigQuery analyses and core data tables that support day-to-day operational decisions to help the Supply team understand and improve performance. Including, the zone-level health dashboards, partner funnel breakdowns, fill-rate trend detection, cohort performance reporting, and other analyses. .
• Maintenance and Reliability: own the maintenance, development, and expansion of core data tables in DBT across the Supply team. You will build sustainable, reusable data models that reliably power operational decisions across Supply, Marketplace, and Partner (worker) Success. Own the day-to-day upkeep of critical data systems and ensure recurring analyses and models remain accurate, reliable, and up to date as the business evolves.
• Predictive Analytics : grow into developing and iterating on predictive models that help the business proactively identify and address operational risks including feature engineering, backtesting, model evaluation, and communicating results to stakeholders.
• Cross-Functional Collaboration: partner with Supply, Marketplace, Partner Success, Product, and Engineering to understand business problems, translate them into data requirements, and build reliable data solutions that drive operational outcomes.

Competencies

• Analytically-minded: You have 2-4+ years of experience in analytics, data science, data engineering, quantitative operations, or a similar analytical role. You are highly comfortable with SQL and can work through complex queries. You are comfortable in Python (pandas, notebooks) for analysis and modeling, and you have experience working with DBT or are capable of qu