Clean, standardize, and transform raw data into high-quality data using existing data processing pipelines
Review and analyze large datasets to discover bad data (duplicates, outliers, etc.)
Deliver data to customers in a timely manner
Work with Engineering on improving existing and building new data processing pipelines
Answer ad-hoc data requests to support customer questions & sales pitches
Join calls with current and prospective customers
Work in downtown San Francisco office a few times per week
$80K - $110K salary, 0.2% - 1% equity
About you
Ideally 1-3 years of relevant work experiences, preferably in management consulting, investment banking, or in a business, operations or product role at an early-stage B2B startup
Skills: Excel, Data Analysis
Bonus skills: familiarity with SQL, BI tools, data visualization, statistics
Well organized
Concise communicator
Proactive & willing to take initiative
Resourceful
Interview Process
15 minute screening call with founder about the position, your experience, and career goals
1 hour interview to review your data cleaning skills and thinking process
Onsite at our office to learn more about us and to get a feel for how we’d work together
Offer extended
About Spice
The world’s largest companies are buying more external data
We license data to leading F500 enterprises
Our product is not a particular dataset, but rather the ability to quickly collect, clean, and reliably provide high-quality data over time
We're currently focused on the restaurant industry
Founded in 2019 by Richard Kreger (CEO, enterprise sales) and Cameron Cairns (CTO, software engineer)
Very small team, all San Francisco-based
Raised only from YC and a couple angels (i.e. minimal dilution)