Senior Data Analyst

In this role you will have the opportunity to make a real impact on the success of Fourthline and drive our company’s mission of fighting financial crime. As a senior data analyst within the data team, you will play a key role in ensuring insights-driven decision making at Fourthline. You will report to the Head of Data and work closely with the data engineering, data science & business stakeholders. 

What you’ll do: 

• You will work on improving the data lakehouse, building dashboards, and answering complex questions about our clients and our internal business. 
• You will develop robust data analytics solutions according to requirements or proactively to support a variety of stakeholders. 
•  You will work on projects that span across the entire range of data analytics – descriptive, diagnostic, predictive & prescriptive analytics. 
• You will identify & resolve technical, performance and data issues together with our data engineers. 
• You will develop data pipelines in SQL (dbt) for Analytics use-cases. 
• You will challenge various teams on metrics/KPIs, develop improved metrics and identify product/process improvement opportunities. 
• You will mentor and share knowledge with the other data analysts in the team. 
• The data team consists of data engineering, data analytics & data science. Our technology stack – AWS cloud, Snowflake, dbt, Looker, Python, Airflow (currently moving from Redshift -> Snowflake and Tableau -> Looker). 

What you bring to the table:  

• 5+ years of professional experience in a comparable Data Analyst role in a fast-paced and dynamic business setting. 
• Strong understanding of databases (relational, column-based) & an expert in SQL. 
• You can perform complex analyses, understand the intricacies of various factors, recommend statistically sound decisions & are able to present them to business stakeholders. 
• Expert dashboard-ing & storytelling skills (experience in Looker would be an advantage). 
• You have an entrepreneurial mindset, are solutions-oriented, a quick learner and motivated. 
• You can and enjoy working in a fast-paced performance-based international environment. 
• Bonus points for a relevant Master’s degree with a strong quantitative orientation. 
• Bonus points for experience with Python (for data wrangling or data science). 
• Bonus points for experience with Statistics. 

• Bonus points for experience with Data governance tools & frameworks. 
• Bonus points for experience in FinTech. 
• Bonus points for experience with ETL/ELT frameworks. 

Hiring Process:  

• Talent Acquisition Screening - to discuss the role & Fourthline, go over your experience, and learn more about your motivation. 
• Hiring Manager – to have a conversation about the vision of the data team, tech. stack & to find out if it’s a great fit both ways. 
• Case Study – a take-home case study which you will then present to the team to showcase your expertise. 
• Office Visit – meet the team for lunch and have an informal chat with our CTO.