Full-Time Senior Data Analyst

About the jobAs our new Senior Data Analyst, you'll bring your analytical prowess and curiosity to work with you, day in, day out. You'll be an expert at what you do and know exactly how to use your skills to derive actionable insights that drive business decisions and improve customer outcomes. You'll work closely with various stakeholders to understand their needs, transform complex data, develop analytical solutions, and communicate findings effectively. And you'll be the kind of person that loves to push the boundaries of what's possible and thrives in a fast-paced environment like ours.

What you'll be doing for us

• Analyzing complex datasets to uncover customer behavior patterns and product performance insights, translating these findings into clear recommendations for stakeholders
• Designing and helping to build automated dashboards and reports in tools like Power BI or Tableau to track key business metrics and support data-driven decision making
• Collaborating with business teams to understand their analytical needs and develop solutions that drive business value
• Writing and optimizing SQL queries to extract and analyze data from multiple sources, ensuring accuracy and efficiency
• Presenting insights and recommendations to senior stakeholders, telling compelling stories with data that drive action
• Analyzing market trends and competitive landscape

Skills-wise, you'll have:

• Minimum 4 years of experience in data analysis or business intelligence roles
• Advanced skills in SQL and Excel
• Knowledge of Python for data analysis
• Experience with statistical analysis and data manipulation
• Proficiency in data visualization tools (e.g., Tableau, Power BI)
• Experience in financial services or fintech sector
• Strong problem-solving and analytical thinking abilities
• Strong commercial acumen with understanding of key business metrics
• Excellent written and verbal communication skills
• Great people skills
• Highly proactive – you love to take ownership of everything you do

Ideally, you'll also have:

• Previous experience in the digital consumer credit space
• Experience using Google Analytics / other market insight platforms
• Experience with data transformation tools and practices (e.g., dbt, Spark SQL) to build and maintain basic data pipelines
• Experience working with cloud data warehouses (e.g., Databricks)
• Experience with A/B testing and experimentation
• Knowledge of machine learning concepts and applications
• Background in mathematics, business analytics, computer science, economics, engineering or related field

What is the last date for applying to the job?

Which countries are accepted for this remote job?