Data Analytics Engineer
Veröffentlicht:
11 November 2024Pensum:
100%Vertragsart:
Festanstellung- Arbeitsort:Sankt Gallen Metropolitan Area
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Job-Zusammenfassung
Frontify hilft Marken, Ideen in Impact zu verwandeln.
Aufgaben
- Du entwickelst datenbasierte Produkte für die Kundenreise.
- Du arbeitest mit verschiedenen Abteilungen für wertvolle Einblicke.
- Du managst Datenprojekte von Konzept bis Umsetzung selbstständig.
Fähigkeiten
- Du hast einen Abschluss in einem quantitativen Bereich und Erfahrung mit Daten.
- Du bist erfahren in SQL, Python oder R und Datenmodellierung.
- Du kannst mit funktionsübergreifenden Teams zusammenarbeiten.
Zusammenfassung der Originalanzeige
Ist das hilfreich?
We're all about helping brands turn ideas into impact.
Frontify’s brand platform transforms how teams organize digital assets, collaborate on projects, and create engaging campaigns. Our people empower thousands of marketers and designers — including teams at Uber, Microsoft, Volkswagen, and Telefónica — to build engaging brands.
With headquarters in St. Gallen, Switzerland, and offices in London and New York City, we share a vibrant culture built on creativity, collaboration, inclusion, and joy. And we’re on the lookout for new team members to share our vision. If you’re ready for a brand-new adventure, keep reading!
Your team
While 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 Mission
As 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.
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- 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).
- 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.
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Why join us?
- Thrive with the tools and support to shape your future at Frontify.
- Be part of a product that connects brands and people with a human touch.
- Enjoy flexibility, opportunities to grow, and exposure to innovative technologies and ideas.
- Join a vibrant, social team—whether you love animals, yoga, or travel, we’ve got the Slack channels for you!
What we offer
- At least 5 weeks of holiday (PTO)
- Paid educational and well-being days off
- Home office setup budget
- Annual salary review
- Localized benefits
- Invite to our summer company meet-up in Switzerland
Important to us
At 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 Steps
Apply: Submit your CV and answer a few questions. We’ll update you on your application.
Talent Partner: Meet our Talent Team to discuss Frontify, the role, and your background.
Team Meetings: Connect with your future team, discuss the role, showcase your skills, and explore your potential new journey.
Join Us: If it’s a match, welcome to Frontify!
We are not here to solve one problem — we are here to change a system. Join us!
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