BrainFinance is a leading financial technology company that provides responsible and constructive credit solutions to consumers. We are redefining access to credit through our revolutionary technology that utilizes machine learning and automation capabilities to offer better and simpler financial services to everyone.
A true innovation lab, our team consists of financial experts, data geeks, mathematicians, computer scientists, and software engineers, all working together to bring fair and transparent credit solutions to the masses.
Here's what we're looking for
We’re on the hunt for a dynamic Senior Data Analyst who will play a pivotal role in transforming financial data, evaluating credit risks, and uncovering market trends with precision. Your expertise will empower our teams to make informed strategic decisions through the creation of comprehensive dashboards and performance metrics.
As a Data Analyst, you will be at the intersection of data and strategy, working closely with the Operations, Marketing, and Tech teams. You will harness the power of data to shape our digital advertising strategy, refine marketing approaches, and optimize customer engagement. Your contributions will directly fuel our company’s growth and elevate operational excellence.
Your daily responsibilities
- Design, automate, and maintain detailed performance reports, dashboards, and scorecards that provide insights into key contact center metrics (Collections and Customer Service);
- Develop weekly and monthly performance reports for the senior leadership team;
- Leverage BI tools such as Power BI and Tableau to create accessible, user-friendly dashboards and visualizations;
- Ensure data accuracy and integrity through Quality Assurance (QA) checks prior to dashboard releases;
- Monitor and analyze compliance-related metrics for debt collections and customer service to ensure adherence to legal, regulatory, and internal policy requirements;
- Provide timely reports and actionable insights to help mitigate risk and support audit processes;
- Track the effectiveness of risk mitigation strategies through continuous monitoring and reporting;
- Identify trends and patterns in contact center data to inform leadership on performance gaps, customer pain points, and operational inefficiencies;
- Analyze extensive datasets to uncover actionable insights and provide recommendations for improvement;
- Examine operational data to pinpoint risks and weaknesses in business operations;
- Collaborate with cross-functional teams to provide data-driven insights that align with business goals and improve customer experience;
- Participate in initiatives aimed at boosting operational efficiency, reducing costs, and enhancing quality standards;
- Develop data-driven business cases for new initiatives, providing projections, impact assessments, and measurable outcomes;
- Conduct analyses on lead generation campaigns and evaluate the performance of marketing strategies;
- Interpret marketing data and metrics to identify optimization opportunities throughout the marketing funnel;
- Communicate the impact of campaign launches, segmentation strategies, and new initiatives to stakeholders effectively;
- Support the workforce management team with insights to optimize staffing and ensure service levels are met across departments;
- Assist in forecasting trends for resource planning and operational decision-making;
- Streamline and automate manual reporting processes using advanced tools and best practices to enhance efficiency and reduce manual efforts;
- Employ predictive modeling and algorithms to improve customer acquisition, engagement, revenue, and retention;
- Identify and leverage company data to develop tailored business solutions, including the use of General AI applications;
- Analyze complex datasets, to provide comprehensive reports and dashboards that monitor KPIs;
- Develop tools for Paid Media and Affiliate marketing optimization.
Your skills and experience
- Degree in Software Engineering, Data Science, Statistics, Economics, or a related field (Bachelor’s or Master’s);
- At least 7 years of experience in data analysis, reporting, or business intelligence, with expertise in interpreting large datasets;
- Knowledge of contact center operations (customer service and collections), including key performance indicators (KPIs);
- Experience in marketing support: trend analysis and campaign performance optimization;
- Proficiency in analysis tools (SQL, Python) and BI platforms (Power BI, Tableau);
- Familiarity with web analytics (Google Analytics) to assess traffic and user engagement;
- Strong skills in database management and dashboard creation;
- Expertise in statistical analysis (regression, hypothesis testing, forecasting) and experimental design (A/B testing, geographic testing);
- Experience in developing and tracking KPIs to evaluate operational and marketing performance;
- Solid understanding of compliance, risk, and customer engagement metrics;
- Ability to collaborate with various departments (marketing, product, data science, operations);
- Aptitude for translating complex data into clear and actionable recommendations;
- Familiarity with predictive modeling and experimental roadmaps to support growth;
Perks and benefits
- Group Insurance (Health and Dental)
- Retirement Savings Plan (RSP)
- Virtual healthcare
- Employee Assistance Program (EAP)
- Hybrid - Office / remote (the team is in the office on Wednesdays)
- Additional Days off (Moving day, Birthday, 5 personal days)
- Health and Wellness Program
- Office perks: Event Coordinator responsible for social activities, 5-7, snacks provided, yoga and meditation room
- Paid subscription to training tools
- Benefits for public transportation (Bixi, Opus)
- Modern open plan office with pin pong, and pool table
- A friendly and relaxed working environment
