Data Analytics Engineer (Finance)

Responsibilities

Innovation

• Develop and enhance data-driven solutions for accounting processes, including the automation of reconciliations and finance reporting to improve accuracy and efficiency.

• Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms.

• Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers.

• Demonstrate the ability to explore and quickly grasp new technologies to progress varied initiatives.

Business Intelligence

• Collaborate closely with teams to launch new products or features, ensuring they are aligned with finance objectives.

• Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization.

• Drive analysis that provides meaningful insights on business strategies.

Data Management

• Drive an understanding and adherence to the principles of data quality management, including metadata, lineage, and business definitions.

• Work with business teams to understand their needs and translate them into technical requirements.

• Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance.

• Build and execute tools to monitor and report on data quality.

Requirements

• A bachelor's degree or foreign equivalent in Engineering, Science, Operations Research, Information Technology, Statistics, Mathematics, Economics, Finance, Analytics, or a related quantitative analytical field.

• Advanced skills in SQL and Python for data manipulation and analysis.

• Proven interpersonal, collaboration, diplomatic, influencing, planning, and organizational skills.

• Consistently demonstrate clear and concise written and verbal communication.

• Proven ability to effectively use complex analytical, interpretive, and problem-solving techniques.

• Demonstrated ability to work under pressure and to meet tight deadlines with proactive, decisiveness, and flexibility.

• English Fluent/proficient.

• 2 or more years of experience in quantitative and qualitative analysis using SQL or Python.

• 2 or more years of working experience in data analytics.

• Deep understanding of credit product operations (credit cards, loans, asset financing, etc.).

• Understanding of financial regulations and accounting principles, especially within the fintech industry.

• Experience with regulatory and compliance reporting in a financial services context.