The Commercial Card Business Analyst drives data-led decision-making by translating complex commercial card data into actionable insights that align with strategic objectives. The analyst collaborates closely with business and technology stakeholders to define analytics use cases, deliver high-quality insights, and support product, customer, and performance optimization initiatives. This role demands strong problem-solving, communication, and project management skills while ensuring robust data governance, accuracy, and stakeholder satisfaction in a fast-paced, digital-first environment.
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Responsibilities:
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Non-Technical:
- Strategic Thinking: Align day-to-day activities with company strategy.
- Customer Focus: Understand and meet customer needs.
- Communication Skills: Clearly articulate insights and ideas to stakeholders.
- Problem-Solving Skills: Identify, analyze, and resolve complex business problems.
- Critical Thinking: Objectively analyze and evaluate issues.
- Collaboration: Work effectively with teams to achieve goals.
- Project Management: Organize and manage resources to complete project objectives.
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Technical:
- Data Use Case: Develop and define data use cases aligned with strategic direction.
- Data Analysis: Proficient in statistics, predictive modeling, and data visualization methodologies.
- Business Intelligence Tools: Familiarity with tools like Tableau, Power BI, or Looker for reporting and dashboards.
- Database Querying: Knowledge of SQL or similar languages for data extraction and manipulation.
- Data Governance: Understanding of governance principles including privacy and quality management.
- Business Tools: Proficient in Excel, PowerPoint, and Visio for data manipulation, presentation, and process mapping.
Cultural Fit:
- Passionate about digital innovation.
- Problem-solving mindset with an inclination to challenge the status quo.
- Self-organizing, independent, and ownership-driven.
- Detail-oriented and thrives under pressure.
KPIs:
- Number of insights implemented.
- Accuracy and completeness of data used in analysis.
- Stakeholder satisfaction based on feedback.
- Timely and budget-compliant delivery of analytics use cases.
- Process improvements as measured by data governance impacts.
Requirements:
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Mandatory:
- Excellent communication and presentation skills.
- Experience in the financial industry with previous consulting background; understanding of digital data (app/web development) is advantageous.
- Proficiency in business tools (Excel, PowerPoint, Visio).
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Relevant Experience:
- 5+ years in a similar role, ideally within the financial services industry.
- Strong analytical and problem-solving skills to translate business challenges into data and analytics solutions.
What We Offer:
- Competitive salary and benefits.
- Opportunity to be part of a fast-paced and growing startup with career growth potential.
- Ownership of initiatives with specific responsibilities.
- Continuous coaching and mentoring opportunities with senior data scientists and AI experts globally.
- A dynamic and respectful work environment that values employees.
