About the Growth Operations team

• Growth Ops is a cross-functional team that works hand-in-hand with all of the other Growth teams (Go-to-market Marketing, Sales, Success & Support, and Product) and also interacts with the dev teams.
• Our core role is to ensure that data flows accurately and efficiently across all of these teams and the tools they use to maintain and improve our data stack.
• In addition to this, we build complex data models and perform data analysis to provide insights.
• The Growth Ops team is also in charge of building data products that maximize each team’s efficiency: lead qualification models, optimizing deal routing, predicting churn, automated lead enrichment & prospecting, etc.

The team itself is composed of three main squads:

• Business Intelligence, split into 2 squads, Go-to-market & Customer Operations, these teams help the rest of the company by providing insights on performance and by giving them the resources needed to achieve their goals. This includes things like providing or editing data marts, helping build dashboards, automating processes, researching new tools, and more.
• Core Ops is responsible for the management and maintenance of the Data Platform, including all data pipelines and assets. Their primary goal is to ensure that accurate and easily accessible data is provided at scale to end users. They also play a key role in advising and training Ops Analysts on analytics engineering best practices and maintaining up-to-date documentation and knowledge sharing.

If you are naturally data curious, excited by data stack architecture, experienced in improving the availability and usability of datasets, and motivated by having an impact on the business where you work, we want to hear from you.

What You’ll Do

• We are looking for a Data & Analytics Engineer who is passionate about applying their analytical and engineering skills to democratize data, metrics, and insights to drive decision-making and analytics across Gorgias.
• You will join our Core Ops section and will be integral to building out our world-class data platform and enabling all teams across the company to move faster and smarter.
• You will work on the analytics infrastructure end-to-end - from data ingestion to reporting - ensuring high data quality, availability, and performance to support Data/Ops Analysts.
• Build and maintain efficient and scalable data pipelines, leveraging ETL tools and protocols.
• Full-stack analytics engineering development, designing, implementing, and documenting data models that deliver clean, well-structured data for visualization, exploration, and activation.
• Develop and maintain reliable cloud-based applications to automate processes for our teams and unlock their full potential.
• Help the team to maintain an overall position of strong data governance with great data observability (data monitoring & alerting, CI/CD pipelines).
• Develop and maintain documentation that increases the understanding and utilization of our data assets.
• Develop and communicate strong opinions about best practices in Analytics Engineering. As a member of the Core Ops team, you will also promote strong standards throughout the organization and help level-up team members through the adoption of software engineering best practices (testing, version control, documentation, etc).

Who You Are

• You have 3+ years of hands-on experience as an analytics engineer, data engineer, or equivalent.
• 3+ years of experience in data modeling and data warehouse architecture, with solid SQL experience. You care about writing good and clean SQL, with an emphasis on readability and performance.
• 2+ years of experience with a general-purpose programming language (preferably python), including testing, deployment, and codebase refactoring.
• 2+ years of experience with the modern data stack (Segment / ETL / Warehouse / dbt / BI / Activation tool), creating data products within a data warehouse environment to meet business goals.
• You have experience working in a cloud-based environment (GCP or AWS), managing and monitoring resources.
• You have strong knowledge of software development best practices applied to data and analytics (DataOps), primarily related to version control, CI/CD, automation, and testing.
• You have a natural fit for both technical and business challenges. We are building technical solutions to solve business-oriented challenges, so strong business acumen is needed for the role.
• You are always learning and staying informed about new tools and practices. At the speed at which the ecosystem is evolving, it is essential to stay on top of things and always look for new ways to improve our work.
• You love working with a wide range of data sources and stakeholders from operational and product teams.
• You pay attention to detail, with strong organization and prioritization skills, comfortable switching gears and moving between projects seamlessly.

Our current data analytics stack mainly includes:

• Data ingestion: Airbyte, Segment, Fivetran
• Storage: BigQuery
• Transformation: DBT
• BI tools: Periscope, push.ai
• Data Activation: Hightouch, Segment, Airplane
• Data Monitoring: Datafold, Metaplane
• GCP products (Compute Engine, Cloud Functions, Cloud Run, PubSub …)
• CI/CD: GitHub Action & GitLab
• Project management: Linear, Notion

Perks and Benefits

• 🏖 5 weeks of vacation
• 🍼Paid parental leave
• 💻Latest MacBook Pro or equivalent
• 🚊50% of public transportation reimbursed (Vélib, Navigo, etc.)
• 🍽️ Personal credit card to buy lunches (we use Swile)
• 🏥 We provide private health insurance (we use Alan)
• 💆🏻‍♀️ Get up to $700 to set up your workstation at home (working from home should feel breezy)
• 🥰 Every quarter, we organize an online company-wide summit to discuss where we’re going and strengthen social bonds. Once per year we organize offsite team retreats and company retreats! (Here is the photo album from our last company retreat in Mexico in 2022, when we were a total of 200 people!)

The position’s Interviewing Process

• Initial call with a recruiter that will present Gorgias, the team, and the position in more detail - ask all the questions you need
• Meet your manager, Elliot, Data Analytics Manager: get to know each other and set yourself up for success in this process
• Do a take-home case study where we don’t ask you to solve our problems, but we look for your creative insights. It’s the perfect time to show off what you know
• Case study review with Elliot, brainstorm and elaborate on key points
• Meet Axelle, Head of Growth at Gorgias. This is a good time to ask difficult questions and see if we are a good match for you!

Why join us?
🚀 We’re among the fastest-growing startups in the eCommerce ecosystem
🦄 We’ve built an extremely efficient go-to-market engine
🥇 Work with a talented team you’ll learn a lot from
🙏 Join a company where automation and good & clean data are core beliefs shared by all
🎥 Here is an interview with one of our team member’s experiences from our most recent company retreat to Cancun!

More cool things to know about Gorgias… 😁

• Raised our Series C for $30M in 2022: TechCrunch Article ⬅️
• We went from 0 to 10,000+ merchants using our platform since 2016
• We have a 4.7 rating on Glassdoor & 4.7 Comparably culture score
• What our customers are saying: apps.shopify.com/helpdesk#reviews
• Other positions: gorgias.com/about-us/jobs
• Discover the Gorgias Platform” HERE
• Learn about our Compensation Policy: HERE

Gorgias ensures equal employment opportunity without discrimination or harassment based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, veteran status, or any other characteristic protected by law.