Funnel Growth Analyst (SQL & Experiments)

Flatpay ApS; Herlev Kommune; On-site; DKK 420,000 - 540,000; Full time

Job summary

Flatpay ApS is seeking a Funnel Optimisation Analyst to own the testing and analysis of our conversion funnel from webform visit to lead and booking across markets. You will partner with Marketing and local sales to identify and prove opportunities to boost visit-to-booking performance.

The role focuses on designing experiments, analyzing data, and delivering actionable insights that drive growth across markets, using SQL and Python to handle large datasets and ensure data quality.

Qualifications

• 1-3 years experience in a revenue growth, operations, analytics or other data focused role
• Experience using SQL to query large datasets, perform analysis, and generate actionable business insights
• Structured, hypothesis-driven approach to experimentation and problem solving
• Comfortable working cross-functionally with stakeholders and sales teams across different markets.
• Strong attention to detail and an interest in improving data quality and business processes

Responsibilities

• Work with teams across markets to understand lead handling processes and identify growth opportunities
• Design and analyse structured tests on our webforms including layouts, field order, and flow structure to improve visit-to-submission rate
• Design and analyse operational tests to identify lead-to-sale optimisation opportunities
• Use SQL and Python to transform and analyse large data sets relating to visit-to-booking performance
• Ensure webform data is clean, consistent, and ready for ingestion into our data warehouse
• Support with market-level performance analysis and performance monitoring dashboards

Job description

Flatpay ApS is seeking a Funnel Optimisation Analyst to own the testing and analysis of our conversion funnel from webform visit to lead and booking across markets. You will partner with Marketing and local sales to identify and prove opportunities to boost visit-to-booking performance.

The role focuses on designing experiments, analyzing data, and delivering actionable insights that drive growth across markets, using SQL and Python to handle large datasets and ensure data quality.