Data Analyst, Growth

3+ years of experience in data analysis and data management within the financial services industry. Experience supporting marketing growth teams, with exposure to business KPIs such as NTUs. Hands-on experience using dbt (data build tool) to model and organize data. Proficiency in SQL and familiarity with Python libraries such as pandas, matplotlib, and plotly. Experience setting up and managing data pipelines, with a strong understanding of data workflow orchestration. Capable of creating intuitive dashboards and visualizations. Strong communicator who can simplify complex data ideas for both technical and non-technical audiences. Passionate about investing or day trading. A degree in a field emphasizing analytical rigor, such as software engineering, economics, or a hard science. Based in Canada, the US, the UK, or the EU, and fluent in English.

Act as a trusted business advisor influencing decision-making for the growth team. Own the design of dashboards, metrics, and reports, turning data into actionable insights. Dive into large datasets to build scalable data models. Lead cross-functional projects to build data pipelines using Airflow, Python, and modern ETL frameworks. Develop and automate reporting of key performance indicators. Develop high-quality code for pipelines and dashboards incorporating software engineering best practices. Deliver insights that shape growth direction through data-driven storytelling.