Data Analytics Engineer

Summary

Join Frontify as a Data Analytics Engineer to drive innovation through proactive data discovery and analysis, uncovering insights that answer questions yet to be asked.

Requirements

• Hold a bachelor's or advanced degree in a quantitative field (Computer Science, Statistics, Mathematics, Applied Economics, etc.)
• Have proven experience leveraging raw data to create insights
• 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
• Have experience conducting thorough EDAs to uncover insights and present actionable findings
• Be proficient in advanced analytics techniques, including PCA, cluster analysis, and regression models
• Be able to collaborate with cross-functional teams, including RevOps, FP&A, Marketing, and Subscription Management teams, to generate insights and support KPI management
• Have proficiency in data modeling, SQL and Python or R, with experience in our data technology stack being an added advantage
• Have experience with version control, ensuring clear data lineage, peer reviews, and alignment across teams
• Speak English fluently

Responsibilities

• Develop and apply data products based on the complete customer journey
• Partner with various departments such as product marketing to create insights that generate value for our customers, sales team, customer support and product managers
• Understand and translate departmental data needs into practical solutions, acting as a liaison between the 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)

Benefits

• 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