Technology and Innovation – Finance Analytics Engineer

Role Overview

This role sits at the intersection of finance, data engineering, and business intelligence, focused on transforming complex financial datasets into scalable, insight-driven analytics solutions.

What You Will Do

Design and build robust data pipelines and reporting frameworks that support financial planning, performance tracking, and strategic decision-making.

Why It Might Be a Fit

This is a high-impact role where your work directly enables better financial visibility and data-driven decision-making across the organization.

Requirements

• 5+ years of experience in analytics, business intelligence, or data-focused roles
• Strong proficiency in SQL and hands-on experience with Python, Alteryx, or similar data tools
• Solid understanding of data engineering concepts combined with BI and analytics exposure
• Familiarity with financial data structures such as P&L, trial balance, and revenue datasets
• Experience working with finance, accounting, or business teams in an analytics capacity
• Strong ability to translate complex data into clear, actionable insights for non-technical audiences
• Experience with enterprise data platforms such as Snowflake, Azure, or Microsoft Fabric
• Strong communication skills with the ability to present findings and influence stakeholders
• Analytical mindset with strong problem-solving ability and attention to detail
• Ability to thrive in dynamic, fast-changing environments with multiple priorities

Benefits

• Competitive compensation aligned with senior analytics engineering roles
• Flexible remote work arrangement within a global delivery model
• Exposure to enterprise-scale financial analytics and modern data platforms
• Strong opportunities for professional growth in FP&A, BI, and data engineering domains
• Collaborative and knowledge-sharing culture with cross-functional engagement
• Work-life balance supported by flexible working practices and autonomy