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Analytics Engineer

MetabaseRemote-North & South America
Remote Full-time

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Qualifications

5+ years experience in analytics roles; strong SQL and Python skills; data modeling expertise; ability to visualize business processes; Bachelor's degree in relevant fields.

About the job

At Metabase, we empower everyone to harness the power of data insights, whether you're a nimble startup or a large enterprise with thousands of users. It's no wonder that our community loves us.

We bridge the gap between the simplicity of consumer products and the complexities of enterprise business intelligence. Our open-source platform provides a robust framework for organizations to effectively measure, analyze, and share their data, serving tens of thousands of companies worldwide.

We are seeking a skilled Analytics Engineer to join our dynamic team. In this pivotal role within our operations team, you will leverage diverse data sources related to our customer base, onboarding processes, and community insights to gain a deeper understanding of user needs and drive enhancements for our customers.

Your Key Responsibilities:

- Continuously refine our data infrastructure, develop models, and promote self-service analytics across the organization.
- Structure our datasets and perform intricate transformations using SQL and Python.
- Conduct in-depth data analysis to address critical business questions.
- Mentor your teammates on data literacy and analytics best practices.
- Collaborate closely with business users, designers, product managers, and engineering teams.
- Engage in a variety of tasks encompassing data ingestion, modeling, analysis, and storytelling.

What We Are Looking For:

- Exceptional skills in data modeling and integration.
- Proficient coding abilities in SQL (capable of writing complex queries with 100+ lines) or Python (experience with 1k+ lines of object-oriented programming scripts).
- Ability to visually represent business processes through models and charts.
- Minimum of 5 years of experience in roles such as Analytics Engineer, Data Analyst, Data Scientist, or Data Engineer.
- A Bachelor’s degree in Computer Science, Computer Engineering, Mathematics, Economics, or a related technical field is preferred.
- Familiarity with B2B SaaS, dbt, Postgres/Redshift, Fivetran, dlt, dimensional modeling, data engineering, data science (machine learning), and AI/LLM is a plus.
- Candidates should be located in UTC-3 to UTC-8 time zones.

About Metabase

Metabase revolutionizes data accessibility, offering a user-friendly platform for insights. Join us to shape how businesses understand and utilize their data.

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