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Metabase is seeking an Analytics Engineer to join their operations team in a remote capacity. In this role, you will work with various data sources related to customer interactions and community insights to enhance understanding of user needs and improve customer support. Daily tasks will include refining data, building models, and facilitating self-service analytics across the team. You will also be responsible for organizing datasets, performing complex transformations using SQL and Python, and collaborating with business users, designers, product managers, and engineers. Candidates should possess strong data modeling and integration skills, along with advanced coding abilities in SQL and Python. A minimum of five years of experience in roles such as analytics engineer, data analyst, or data scientist is required, along with a preferred degree in computer science, mathematics, economics, or a related field. Familiarity with B2B SaaS, dbt, Postgres/Redshift, and data engineering concepts is advantageous. The position is suitable for individuals operating within UTC-3 to UTC-8 time zones.
Metabase is the easiest way for people to get insights from their data, from tiny startups who get up and running quickly to major corporations with tens of thousands of users. That's why people love us. We bring data tools with the elegance and simplicity of consumer products to the crufty world of enterprise business intelligence. We provide an opinionated open source starting point for how companies should measure, analyze and share their data, which is used by tens of thousands of companies. Metabase is looking for an Analytics Engineer to support our team. This role will be a key part of the operations team, using the disparate data sources we have on our customer base, customer onboarding, and community intelligence to better understand our users, their needs and what we should do to better help our customers. Things you'll do : - Iteratively refine our data, build models and help spread data throughout the team to enable self-service analytics - Organize our datasets and do complex transforms using SQL & Python. - Dig into data, answer questions - Teach the others on your team to fish - Collaborate day to day with business users, designers, product managers and engineers - A bit of everything from data ingestion, modeling, analysis, science, and story telling. Things we're looking for : - Strong data modeling or integration skills - Extremely strong coding skills using SQL (100+ lines of complex SQL queries/models) or Python (1k+ lines of OOP scripts) - Fluency in expressing business processes using models and charts - 5+ years as an analytics engineer, data analyst, data scientist, data engineer or similar role - BS in CS/CE, Math, Economics or equivalent technical degree preferred - Experience a plus: B2B SaaS, dbt, Postgres/Redshift, Fivetran, dlt, dimensional modeling, data engineering, data science (machine learning), LLM/AI - Candidates who operate in UTC-3 -- UTC-8
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