Analytical Solutions Engineer
Vor 5 Tagen
While small, the Data team at Frontify 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 enjoy spending time with their families, reading French literature, or tending to their gardens.
Our Mission
As a Data Analytics Engineer at Frontify, you will drive innovation through proactive data discovery and analysis. You will leverage the full analytical stack to deliver high-quality, scalable data solutions, working closely with stakeholders and team members to develop data products. Your goal will be to empower decision-making by transforming raw data into actionable intelligence.
Your Responsibilities
• Develop and apply data products based on the complete customer journey, focusing on product usage of customers.
• Partner with various departments such as product marketing to create insights that generate value for our customers, sales team, customer support, and product managers.
• Translate departmental data needs into practical solutions, acting as a liaison between raw data and actionable insights.
• 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.
• Independently manage data projects from concept to completion, aligning them with end-user needs and organizational value.
• Gather, organize, and document data requirements with clarity and precision.
• Utilize SQL expertise for advanced data modeling tasks, using our technology stack (Fivetran, dbt core, Snowflake, ThoughtSpot, GitHub).
Your Qualifications
• Bachelor's or advanced degree in a quantitative field (Computer Science, Statistics, Mathematics, Applied Economics, etc.).
• Proven experience leveraging raw data to create insights.
• Strong background in enriching and integrating data from various sources (e.g., CRM, Subscription management, Consumption, Event level data) to support business needs.
• Experience conducting thorough EDAs to uncover insights and present actionable findings.
• Proficient in advanced analytics techniques, including PCA, cluster analysis, and regression models.
• Ability to collaborate with cross-functional teams, including RevOps, FP&A, Marketing, and Subscription Management teams, to generate insights and support KPI management.
• Proficiency in data modeling, SQL and Python or R, with experience in our data technology stack being an added advantage.
• Experience with version control, ensuring clear data lineage, peer reviews, and alignment across teams.
• Fluency in English.
How to Apply
Submit your application today and take the first step towards an exciting new opportunity. Meet our Talent Team to discuss Frontify, the role, and your background. Connect with your future team, discuss the role, showcase your skills, and explore your potential new journey.
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