Analytics Engineer, Gorgias
$119.8-132.4k
+ 0.007% – 0.011% equity
The conversational AI platform for eCommerce
Job no longer available
The conversational AI platform for eCommerce
501-1000 employees
Job no longer available
$119.8-132.4k
+ 0.007% – 0.011% equity
501-1000 employees
Company mission
To empower eCommerce brands to grow through AI-powered customer experience.
Role
Who you are
- If you are naturally data curious, excited by high-quality data modeling, 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
- We are looking for an 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 have 3+ years of hands-on experience as an analytics 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 the modern data stack (ETL / Warehouse / dbt / BI/documentation), creating data products within a data warehouse environment to meet business goals
- 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
What the job involves
- Data Analytics is a cross-functional team that works hand-in-hand with all of the other business teams (Go-to-market Marketing, Sales, Success & Support, 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 Data Analytics 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, etc
- The team itself is composed of two sub-teams:
- Business Intelligence helps the rest of the company by providing insights into performance and by giving them the resources needed to achieve their goals. This includes things like providing or editing data marts, helping build dashboards, and more
- Analytics Engineering 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 Data Analysts on analytics best practices and maintaining up-to-date documentation and knowledge sharing
- You will join our Analytics Engineering section and will be integral to building out our world-class data products and enabling all teams across the company to move faster and smarter
- You will work on the analytics code base ensuring high data quality, availability, and performance to support Data Analysts
- Design and implement data models that organize and structure data for analytical purposes
- Ensure that data is clean, well-structured, and ready for visualization, exploration, and analysis
- Implement data monitoring and alerting systems to proactively identify and address data issues
- Create and maintain documentation that enhances understanding and utilization of data assets
- Share knowledge with team members to promote a data-driven culture within the organization
Application 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 Data Analytics at Gorgias. This is a good time to ask difficult questions and see if we are a good match for you!
Our take
With the surge in online shopping, eCommerce merchants are increasingly prioritizing customer communications to enhance the overall shopping experience. This heightened emphasis puts greater pressure on support teams to promptly and accurately address customer inquiries.
Gorgias offers an all-encompassing customer support helpdesk equipped with artificial intelligence tools tailored for customer service teams. The platform allows eCommerce businesses to streamline responses to frequently asked questions through a single application. By automating these responses, support agents can allocate more time to engaging in meaningful and profitable interactions with customers, thereby potentially driving sales.
Catering to over 15,000 brands, including prominent brands like Princess Polly, Steve Madden, and Marine Layer, Gorgias faces competition from established players like Zendesk, Freshdesk, and HelpScout. Despite this, the company has experienced notable growth, expanding its presence across the US, Europe, and Australia. Along with funding that will fuel the development of its Automation Add-on feature, aimed at providing customers with instant answers to alleviate support workload.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
19% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
May 2024
$29m
SERIES C
Aug 2022
$30m
SERIES C
Total funding: $101.4m
Company HQ
Yerba Buena, San Francisco, CA
Leadership
Alex Plugaru
(Co-Founder & CTO)Former Web Developer at Gymglish, Eau de Web, Innobyte and Liquid Studios.
Romain Lapeyre
(Co-Founder & CEO)Former Product Manager at Work4 and Business Developer at Scalr. MA in Management from HEC Paris.
Salary benchmarks
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