СШАData Analyst, Supply
1 нед. назад
100k–135k USD / годСШАMiddleOnsite
sqlexceltableaupower bipython
Analyze supply data to support workforce management and labor platform scalability.
Условия
- To provide greater transparency we share base salary ranges, which are based on role and level benchmarked against similar stage, high growth companies. Offers are determined based on multiple factors including skills, work experience, and relevant credentials.
- In addition to competitive salaries and meaningful equity we offer the following benefits:
- Comprehensive healthcare coverage: We cover 100% of employee premiums for medical, dental, and vision care (60-75% for dependents)
- 401(k) match program: We match 100% on the first 3% of your contributions and 50% on the next 2% for a maximum match of 4%
- Generous, fully paid parental and family leave policies
- Pre-tax commuter benefits
- Collaborative office with fully stocked kitchen @ 1 World Trade in Manhattan
Другое
- 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.
- The mission of the Supply team is to manage ’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.
- Your role will evolve over time but some of your early responsibilities will include;
- 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.
- Do you have what it takes to build the data infrastructure and analytical systems that power a rapidly scaling business? Here are the attributes you’ll need:
- 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 quickly learning it. You enjoy getting into the details of a dataset and figuring out what is really happening.
- Problem solver: You thrive working through and solving complex problems, you know how to turn an ambiguous question into a structured investigation and keep digging until you find the root cause.
- Clear communicator: You can take a complex analysis or investigation and explain the key takeaway simply. You know how to communicate the "so what" to both technical and non-technical teammates.
- High ownership : You are self-directed and don't wait for someone to tell you exactly what to do. You take a loosely defined problem, figure out what needs to happen, and drive it through to a solution.
- Highly organized: You think in systems and process, relish bringing structure to ambiguity, ruthlessly prioritize, and feel organization is second nature to you.
- Inspired by Leadership Principles @ Amazon
- We #GetShiftDone. We take immense pride in both the quality of our work and our relentless determination to deliver on our commitments. If we say we are going to do something, we do it.
- We own the outcome with an unstoppable mindset through the finish line and are impatient to move the ball forward. This means we work really hard, execute with urgency, and ruthlessly challenge timelines for anything important. As a result, we do not defer responsibility to other teams or individuals. Instead, we take the problem as far as we can and only when needed ask others for help.
- Each time a crisis or opportunity emerges we take the hill as one team, because we are allergic to the words “it can’t be done” .
- We before me. We believe in our mission to build a better world for workers. We understand why our work matters and take seriously how it impacts our customers and our partners. This belief permeates everything we do from the strategic to the mundane.
- We are energetic, ambitious, and want to win. We constantly raise the standards for ourselves and everyone around us. We show up for our customers, our partners, and most importantly our teammates, and make every effort to build lasting relationships with each of them.
- We do not measure success based on our titles or the size of our empires. This also means we put the needs of the business before the details of our job descriptions. Rather than fight for a bigger piece of the pie, we fight to grow the entire thing and recognize this is how to grow our careers too.
- We work really hard. Fundamentally changing how labor works is not easy. It often requires long days, late nights, and weekends to deliver on our commitments. We lean into this challenge.
- We focus on the process. We think in terms of value chains and appreciate that a bad process with a good outcome is simply dumb luck.
- We lead with data. We use facts, not fiction, to build narratives and make decisions. To do this we prepare written memos in advance and resist the urge to engage in endless water cooler what ifs, because we value the time and attention of our teammates.
- We hire and develop the best. When we decide to hire a new team member, we do so because we believe they will increase the talent density on our team. We view ourselves as leverage maximizers rather than inconvenience reducers and strive to increase the output of everyone we interact with.
- We share the truth even when it is painful. We do not, however, share the truth callously to hurt people’s feelings or make them look bad. We also assume positive intent. If someone is not delivering in a way that we need, we ask them and tell them before assuming the worst.
- We embrace mutual feedback. As people leaders we care more about our team’s growth and success than how much others like us. As individuals we seek, accept, and apply feedback. We do not give or take feedback personally because we understand it enables us to learn and grow.
- We tell the truth to ourselves. We reject a pollyannaish view of our world. Instead if something isn’t going well that we are responsible for, we call it out. And when someone calls out their own truth that may be less optimal, we don’t punish them for it.
- We have the meeting in the meeting. If something is broken or we disagree, we call it out and say something in the moment even if it feels uncomfortable to do so. This means that if something is broken, we do not just accept it and complain later.
- We are inventors @ heart. We categorically reject the phrase “that is how it’s always been done” , and constantly discover new and better ways to do more with less. This means we are resourceful and often do things that don’t scale, only to create ways to scale them later. We’re builders.
- We think BIG. At every level of the company, we embrace big, hairy, audacious, and transformative goals. We fear lack of progress and incremental thinking more than failing to deliver or falling short of an audacious goal. We believe courage means to try without fear and learn without ego.
- We do not let perfect get in the way of better. When faced with the choice we prioritize delivering something, even if imperfect, over endless debate and alignment. We embrace good mistakes.