We're looking for a Senior Business Analyst to lead the data domain within our Working Capital Business unit – a high-impact, fast-moving team that operates like a startup within a global company.
This is a unique opportunity for a hands-on, strategic thinker to take full ownership of our data domain: from defining and executing our data strategy, to building advanced risk models and scalable infrastructure – while leading the data domain in a matrixed structure that includes a business analyst and a data engineer.
The ideal candidate brings a strong analytical mindset, experience in data modeling, and a proven ability to turn complex datasets into actionable insights that shape business strategy. They also possess the skills to design and build scalable data infrastructure, along with strong teamwork and leadership capabilities in a cross-functional environment.
What youll do:
Own and lead the data domain within the Working Capital unit, including analytics, modeling, and infrastructure.
Design, develop, and maintain our risk scoring model – a core component of the product used to assess credit risk.
Develop, refine, and maintain dashboards, reports, and visualizations to monitor key KPIs.
Conduct in-depth analysis to uncover trends and deliver strategic, actionable insights for all business domains (Risk, Growth, and Ops).
Guide and mentor analysts, fostering a high standard of analytical thinking and execution.
Partner with cross-functional teams (RevOps, Marketing, finance, operations, etc.) to enhance the data infrastructure supporting the Working Capital business.
This is a unique opportunity for a hands-on, strategic thinker to take full ownership of our data domain: from defining and executing our data strategy, to building advanced risk models and scalable infrastructure – while leading the data domain in a matrixed structure that includes a business analyst and a data engineer.
The ideal candidate brings a strong analytical mindset, experience in data modeling, and a proven ability to turn complex datasets into actionable insights that shape business strategy. They also possess the skills to design and build scalable data infrastructure, along with strong teamwork and leadership capabilities in a cross-functional environment.
What youll do:
Own and lead the data domain within the Working Capital unit, including analytics, modeling, and infrastructure.
Design, develop, and maintain our risk scoring model – a core component of the product used to assess credit risk.
Develop, refine, and maintain dashboards, reports, and visualizations to monitor key KPIs.
Conduct in-depth analysis to uncover trends and deliver strategic, actionable insights for all business domains (Risk, Growth, and Ops).
Guide and mentor analysts, fostering a high standard of analytical thinking and execution.
Partner with cross-functional teams (RevOps, Marketing, finance, operations, etc.) to enhance the data infrastructure supporting the Working Capital business.
Requirements:
5+ Years of experience in business intelligence, data analysis, or a related field, ideally within a tech-based company or financial products company.
Strong proficiency in SQL for data exploration and transformation. Experience with BI tools such as Tableau, Power BI, or Looker for dashboarding and data visualization.
Hands-on experience in data modeling – designing, building, and maintaining analytical models that support decision-making and operational use cases.
Excellent communication and presentation skills, with the ability to convey complex analytical concepts to non-technical stakeholders.
Strong leadership skills to drive and lead cross-functional initiatives.
High energy level, with a bias for action and accountability.
5+ Years of experience in business intelligence, data analysis, or a related field, ideally within a tech-based company or financial products company.
Strong proficiency in SQL for data exploration and transformation. Experience with BI tools such as Tableau, Power BI, or Looker for dashboarding and data visualization.
Hands-on experience in data modeling – designing, building, and maintaining analytical models that support decision-making and operational use cases.
Excellent communication and presentation skills, with the ability to convey complex analytical concepts to non-technical stakeholders.
Strong leadership skills to drive and lead cross-functional initiatives.
High energy level, with a bias for action and accountability.
This position is open to all candidates.
