Analytics Engineer

Paris, Remote

Pay: Pay not listed
Work setting: Remote — work setting source
Listed location: Paris, Remote
Work setup in the employer’s posting: remote
From the employer’s posting
Employment: Full-time — employment source
Employment type Full Time
Employment type in the employer’s posting: Full Time
From the employer’s posting

About 360learning

360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth.

In the employer’s words · Read in context

Apply at 360learning

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Status in our records: Live
First seen by us: Oct 21, 202614 days ago
Recorded sightings: 16
Last seen by us: Nov 3, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 14

Similar jobs usually come down between day 6 and day 47.

From 1,405 similar postings that came down. Coming down is not always a hire.

360learning is hiring

1 open job

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Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

SQL
BigQuery
dbt
Looker
Metabase
Redshift
Snowflake

Where the posting names them

The Skill Set: - Strong SQL skills with the ability to write complex queries and work confidently with data. - Hands-on experience with BI and analytics tools, such as Looker, Metabase, or Omni.

- Hands-on experience with BI and analytics tools, such as Looker, Metabase, or Omni. - Experience with modern data warehouses, such as BigQuery, Redshift, or Snowflake. - Good working knowledge of Git and version control best practices.

- Discover 360Learning, its platform, teams, and culture - Get familiar with our data stack (Snowflake, Looker, dbt, etc.) and our ways of working - Understand our data models, ways of working, and self-service analytics strategy

- Good working knowledge of Git and version control best practices. - Experience with dbt is a strong advantage. - Strong interest in AI and emerging analytics tools, with a focus on their practical application to business and data-related challenges.

What makes our team unique is our central role across the company: we sit at the intersection of Product, Operations, Customer Success, Sales, and Engineering. As our first Analytics Engineer, you’ll bridge the gap between our data platform and business teams by building trusted datasets, meaningful KPIs, and self-service analytics capabilities. You’ll work closely with our Senior Data Analyst and Data Engineers to improve data models and documentation, strengthen the reliability and efficiency of our warehouse, and help teams become increasingly autonomous with Snowflake, Looker/Metabase, and AI-powered analytics. You’ll then contribute to our broader mission of making data more accessible and actionable across 360Learning. Within 1 month, you will:

- Strong SQL skills with the ability to write complex queries and work confidently with data. - Hands-on experience with BI and analytics tools, such as Looker, Metabase, or Omni. - Experience with modern data warehouses, such as BigQuery, Redshift, or Snowflake.

- Build reliable, well-documented datasets and KPIs that help teams answer their own business questions - Enable teams to access and leverage data through Snowflake MCP, empowering them to answer business questions more independently - Collaborate with our Senior Data Analyst to improve documentation, data models, and best practices to strengthen self-service adoption

- Partner with Data Engineering to improve warehouse performance, reliability, and cost efficiency - Help teams become more autonomous on Snowflake and BI tools by guiding them toward the right datasets and sources of truth - Become a go-to partner for teams looking to monitor key metrics, explore data, and make data-driven decisions

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About the role

We file this job under Analytics Engineer, by the work the posting describes.

Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.

Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.

A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.

US government figures for database architects

Median yearly pay, May 2025: $139,500
Expected change, 2025 to 2035: 9.4% more jobsagainst 3.5% for all jobs

The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

The Data team builds and evolves the data platform that powers critical product features and helps every team make smarter, faster decisions. Our data ecosystem supports hundreds of pipelines, dashboards, and tools, providing the foundation for both day-to-day operations and strategic decision-making.

What makes our team unique is our central role across the company: we sit at the intersection of Product, Operations, Customer Success, Sales, and Engineering. As our first Analytics Engineer, you’ll bridge the gap between our data platform and business teams by building trusted datasets, meaningful KPIs, and self-service analytics capabilities.

You’ll work closely with our Senior Data Analyst and Data Engineers to improve data models and documentation, strengthen the reliability and efficiency of our warehouse, and help teams become increasingly autonomous with Snowflake, Looker/Metabase, and AI-powered analytics. You’ll then contribute to our broader mission of making data more accessible and actionable across 360Learning.

Within 1 month, you will:

Discover 360Learning, its platform, teams, and culture

Get familiar with our data stack (Snowflake, Looker, dbt, etc.) and our ways of working

Understand our data models, ways of working, and self-service analytics strategy

Within 3 months, you will:

Build reliable, well-documented datasets and KPIs that help teams answer their own business questions

Enable teams to access and leverage data through Snowflake MCP, empowering them to answer business questions more independently

Collaborate with our Senior Data Analyst to improve documentation, data models, and best practices to strengthen self-service adoption

Within 6 months, you will:

Partner with Data Engineering to improve warehouse performance, reliability, and cost efficiency

Help teams become more autonomous on Snowflake and BI tools by guiding them toward the right datasets and sources of truth

Become a go-to partner for teams looking to monitor key metrics, explore data, and make data-driven decisions

The Skill Set:

Strong SQL skills with the ability to write complex queries and work confidently with data.

Hands-on experience with BI and analytics tools, such as Looker, Metabase, or Omni.

Experience with modern data warehouses, such as BigQuery, Redshift, or Snowflake.

Good working knowledge of Git and version control best practices.

Experience with dbt is a strong advantage.

Strong interest in AI and emerging analytics tools, with a focus on their practical application to business and data-related challenges.

Solid understanding of data modeling and data warehousing principles, with an interest in building reliable, scalable, and efficient data solutions.

Curiosity and problem-solving mindset: able to break down ambiguous questions into clear, actionable steps

Comfortable collaborating with non-technical stakeholders, understanding their needs, and communicating technical concepts in a simple way.

Fluent English (US/UK) / French fluent

Enthusiasm for our working environment explained here: https://bit.ly/Convexity_360L

What We Offer:

Compensation: Package includes base salary, a variable component and equity 📈

Benefits/Perks: Work From Home stipend, RTT, lunch vouchers, medical insurance, gym subscription, 1 month parental leave for the second parent.

Balance: Flexible hours, full remote work possible anywhere in France 🏠

Diversity, Equity, and Inclusion: We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝

Corporate Social Responsibility: Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍

Culture: A framework that will help you make an impact - envision our way of working and our Convexity Culture: https://bit.ly/Convexity360L & find out more about the teams, product and processes https://bit.ly/42H1ggC 🚀👩🏻‍💻🏆

Interview Process:

Phone Screen with our Talent Acquisition Manager

Discovery Meeting with our Senior Data Manager

Case study Meeting with our Senior Data Manager and our Senior Data Analyst

Clarification Meeting with our 1 Data Engineer and our Senior Data Analyst

Culture Fit Meeting with our VP Engineering

Offer!

Who We Are

360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place.

360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA.

Learning Includes Everyone.

In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!

Employment type

Full Time

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