Data Analytics Engineer
Sankt Gallen Metropolitan Area
Your new companyA lot has changed at Frontify over the last decade, but people continue to be at the heart of our vision.
Every day, we empower thousands of brand builders worldwide — including teams at Lufthansa, KIA, Vodafone, and Uber — to create brands that have an impact. Our more than 300 employees collaborate and engage in and around our headquarters in St. Gallen, Switzerland, and offices in London and New York City. And we’re looking for new team members to join us.
We’re built on a collaborative culture of experimentation, trust, and transparency. If you want to help us achieve our mission of creating a home where brands can thrive, read on.
Your teamWhile small, the Data team is mighty. They provide the information that drive our decisions, build our data culture, and extend our data warehouse. Their work shapes what and how every team in Frontify does what they do best. In their downtime, they’re enjoying the good life – spending time with their families, reading French literature, or tending to their gardens.
Your MissionAs a Data Analytics Engineer, you will drive innovation through proactive data discovery and analysis, uncovering insights that answer questions yet to be asked. Leveraging the full analytical stack, you will deliver high-quality, scalable data solutions. You thrive in collaborative environments, working closely with stakeholders and team members to develop data products, maintain clear data lineage, and ensure alignment through strong communication. Your goal will be to empower decision-making by transforming raw data into actionable intelligence.
What we offer· We encourage you to take at least 5 weeks of holiday· Budget for home office set-up· Biannual salary review· Additional localized benefits· Invite to our annual, summer company meet-up
Important to usAt Frontify, we believe in being true to ourselves: We are committed to creating and fostering an inclusive environment of vibrant individuals whose diverse perspectives build our collective future. We aim to provide equal opportunities and nurture a workplace free of harassment and discrimination.
Next steps1) Send us your CV and answer some questions: You’ll hear back from us with updates on your application.2) Virtual call with the Recruiter: You'll meet the Talent team to discuss Frontify, the role, and you – your passions, your skills, you.3) Virtually meet the team: You'll meet your new team over a few calls. You'll discuss the role, showcase your skills through your answers or a case study (or both), and get a feel for the brand-new journey that's awaiting you.4) Join us: If all goes well, you'll join Frontify's journey soon.
We also wanted to let you know that we may run preliminary checks on successful candidates. In the instance we run a preliminary check, it will depend on the role you are applying for and will be done in accordance with the applicable law of the country of employment. We’ll provide you with all the details about the next steps during the interview process
Every day, we empower thousands of brand builders worldwide — including teams at Lufthansa, KIA, Vodafone, and Uber — to create brands that have an impact. Our more than 300 employees collaborate and engage in and around our headquarters in St. Gallen, Switzerland, and offices in London and New York City. And we’re looking for new team members to join us.
We’re built on a collaborative culture of experimentation, trust, and transparency. If you want to help us achieve our mission of creating a home where brands can thrive, read on.
Your teamWhile small, the Data team is mighty. They provide the information that drive our decisions, build our data culture, and extend our data warehouse. Their work shapes what and how every team in Frontify does what they do best. In their downtime, they’re enjoying the good life – spending time with their families, reading French literature, or tending to their gardens.
Your MissionAs a Data Analytics Engineer, you will drive innovation through proactive data discovery and analysis, uncovering insights that answer questions yet to be asked. Leveraging the full analytical stack, you will deliver high-quality, scalable data solutions. You thrive in collaborative environments, working closely with stakeholders and team members to develop data products, maintain clear data lineage, and ensure alignment through strong communication. Your goal will be to empower decision-making by transforming raw data into actionable intelligence.
Your Responsibilities
- You’ll develop and apply data products based on the complete customer journey. With a focus on the product usage of customers.
- You’ll partner with various departments such as product marketing to create insights that generate value for our customers, sales team, customer support and product managers.
- You understand and translate departmental data needs into practical solutions, acting as a liaison between the raw data and actionable insights.
- You’ll engage in hands-on data modeling, working closely with business stakeholders and other members in the central data team to maintain data integrity and adhere to best practices.
- You independently manage data projects from concept to completion, aligning them with end-user needs and organizational value.
- You’ll gather, organize, and document data requirements with clarity and precision.
- You’ll utilize SQL expertise for advanced data modeling tasks, using our technology stack (Fivetran, dbt core, Snowflake, ThoughtSpot, GitHub).
Your Story
- You can work remotely from anywhere in Switzerland or on-site in our St. Gallen office – or even mix it up during the week! Choose where to work from that works best for you.
- You hold a bachelor's or advanced degree in a quantitative field (Computer Science, Statistics, Mathematics, Applied Economics, etc.).
- You have proven experience leveraging raw data to create insights.
- You have a strong background in enriching and integrating data from various sources (e.g., CRM, Subscription management, Consumption, Event level data) to support business needs.
- You have experience conducting thorough EDAs to uncover insights and present actionable findings.
- You are proficient in advanced analytics techniques, including PCA, cluster analysis, and regression models.
- You are able to collaborate with cross-functional teams, including RevOps, FP&A, Marketing, and Subscription Management teams, to generate insights and support KPI management.
- You have proficiency in data modeling, SQL and Python or R, with experience in our data technology stack being an added advantage.
- You hold experience with version control, ensuring clear data lineage, peer reviews, and alignment across teams.
- You speak English fluently.
What we offer· We encourage you to take at least 5 weeks of holiday· Budget for home office set-up· Biannual salary review· Additional localized benefits· Invite to our annual, summer company meet-up
Important to usAt Frontify, we believe in being true to ourselves: We are committed to creating and fostering an inclusive environment of vibrant individuals whose diverse perspectives build our collective future. We aim to provide equal opportunities and nurture a workplace free of harassment and discrimination.
Next steps1) Send us your CV and answer some questions: You’ll hear back from us with updates on your application.2) Virtual call with the Recruiter: You'll meet the Talent team to discuss Frontify, the role, and you – your passions, your skills, you.3) Virtually meet the team: You'll meet your new team over a few calls. You'll discuss the role, showcase your skills through your answers or a case study (or both), and get a feel for the brand-new journey that's awaiting you.4) Join us: If all goes well, you'll join Frontify's journey soon.
We also wanted to let you know that we may run preliminary checks on successful candidates. In the instance we run a preliminary check, it will depend on the role you are applying for and will be done in accordance with the applicable law of the country of employment. We’ll provide you with all the details about the next steps during the interview process
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Categories:
Analyst Jobs
Engineering Jobs
Tags: Cluster analysis Computer Science Data Analytics Data warehouse dbt Economics FiveTran GitHub Mathematics Python R Snowflake SQL Statistics
Perks/benefits: Home office stipend Travel Yoga
Region:
Europe
Country:
Switzerland
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