The simple task of buying software, services, or tools at work has become hopelessly complicated at even the most innovative companies in the world. Today, enterprises spend $120T+ per year globally (>30 times larger than annual consumer e-commerce spend) and rely on vendors more than ever before to run their businesses.
Our cofounders started Zip in 2020 to address this seemingly intractable problem with a purpose-built procurement platform that provides a simple, consumer-grade user experience. Within the last 4 years, Zip has created a new category and developed the leading solution in this $50B+ TAM space. Today, the world’s leading companies like OpenAI, Snowflake, Anthropic, Coinbase, and Prudential rely on Zip to manage billions of dollars in spend.
We have a world-class team coming from category-defining companies like Airbnb, Meta, Stripe, Salesforce, Apple, and Google. With a $2.2 billion valuation and $370 million in funding from Y Combinator, Tiger Global, BOND, DST Global, and CRV, we’re focused on developing cutting-edge technology, expanding into new global markets, and—above all–driving incredible value for our customers. Join us!
As a Data Analyst at Zip, you'll collaborate extensively with cross-functional teams to provide the models, data products, and insights necessary for informed decision-making and sustainable growth. You'll leverage our comprehensive data resources to extract valuable insights, while working alongside leadership to transform business challenges into data-driven solutions. Your responsibilities will include developing metrics, building simple data pipelines, creating intuitive dashboards, and generating reports that drive business operations. Through thoughtful analysis and compelling data storytelling, you'll deliver actionable recommendations that directly impact business outcomes.
4-8 years of professional experience in roles such as Data Engineering, Data Analysis, or Data Science, with a track record of building simple data pipelines and analyzing complex datasets to address business challenges.
Bachelor’s degree in Mathematics, Statistics, Economics, Engineering, or a related technical field.
Strong command of SQL and Python programming languages
Solid foundation in statistical methods and applications.
Demonstrated skill in data visualization and translating insights into actionable recommendations that drive goal achievement.
Exceptional project management capabilities with the ability to prioritize and deliver multiple initiatives while maintaining meticulous attention to detail.
Excellent communication skills to effectively present findings and influence decisions.
Adept at cross-functional collaboration to identify analytical challenges and implement solutions that combine technical excellence with data-driven insights.
Master’s (or above) degree in Mathematics, Statistics, Economics, Engineering, or a related technical field.
Prior experience at a growth stage internet or software company.
Experience with Airflow, Superset, Omni, Sigma, Looker, or Tableau.
Good understanding of development processes and best practices like engineering standards, code reviews, and testing.
Experience with using AI tools to help with analyses and building dashboards.
The salary range for this role is $140,000 - $220,000. The salary for this position is determined based on a variety of job-related factors that may include location, relevant experience, education, or particular skills and expertise.
Perks & Benefits
At Zip, we’re committed to providing our employees with everything they need to do their best work.
📈 Start-up equity
🦷 Full health, vision & dental coverage
🍽️ Catered lunches & dinners for SF employees
🚍 Commuter benefit
🚠 Team building events & happy hours
🌴 Flexible PTO
💻 Apple equipment plus home office budget
💸 401k plan
We're looking to hire Zipsters and that means hiring people who take ownership, communicate openly, have an underdog mindset, and are excited to increase the pace of innovation for every business in the world. We encourage all candidates to apply even if your experience doesn't exactly match up to our job description. We are committed to building a diverse and inclusive workspace where everyone (regardless of age, religion, ethnicity, gender, sexual orientation, and more) feels like they belong. We look forward to hearing from you!
If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
Are you ready to make an impact as a Data Scientist at Zip in San Francisco? At Zip, we know that the procurement process can be a labyrinth, and we’re here to simplify it with our cutting-edge platform designed for today’s leading companies. As a Data Scientist, you’ll work closely with talented teams to transform vast amounts of data into understandable insights that drive business growth. With your expertise in SQL and Python, you’ll develop metrics, create intuitive dashboards, and uncover trends that empower decision-making at all levels. We place a strong emphasis on data storytelling, and your unique insights will influence strategy across the organization. Picture yourself collaborating with innovative leaders from some of the best tech companies in the world, pushing boundaries and solving challenges through data. You'll not only be conducting analyses, but also delivering actionable recommendations that steer our business toward success. If you have 4-8 years of experience in Data Engineering, Data Analysis, or Data Science and are passionate about combining technical excellence with strategic thinking, we’d love to hear from you! Join us at Zip, where your analytical skills will have the power to drive significant impact in an exciting, fast-paced environment. We’re not just the solution to procurement; we're a growing team on a mission to innovate and deliver incredible value to our customers. Let's redefine the world of procurement together!
Zip is looking for a Senior/Staff Software Engineer to drive AI strategy and product development in the Payments domain while working in a hybrid model from their San Francisco office.
Waters Corporation is looking for a summer intern in Generative AI & Machine Learning to join their Milford office and gain valuable industry experience.
Spotify seeks a Machine Learning Engineer II to enhance personalization features driving user engagement through advanced machine learning techniques.
Join Exagen as a Senior Data Scientist in Bioinformatics and drive diagnostic innovation for autoimmune diseases.
Join Visa as a Data Scientist and leverage unique data insights to tackle pressing business problems in a hybrid work environment.
Rokt is on the lookout for a Senior Data Scientist / Machine Learning Engineer to lead innovative projects in identity data.
We are looking for a skilled Data Scientist to join our team to drive marketing performance through analytics and strategic insights.
As part of American Express's Internal Audit Group, this role focuses on applying data analytics and machine learning to enhance audit processes and risk management.
Tonal is on the lookout for an experienced Staff Applied Scientist in Human Performance AI to enhance their innovative fitness products using advanced machine learning techniques.
Zip is a leading global financial services company, offering innovative, people-centred products that bring customers and merchants together. On a mission to be the first payment choice everywhere and every day, Zip offers point-of-sale credit and...
105 jobsSubscribe to Rise newsletter