Finance Analytics Engineer
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Job Description
Finance Analytics Engineer handling finance-focused analytics solutions by integrating data from various sources. Collaborating with stakeholders to translate data into actionable insights and support business needs.
Responsibilities:
- Extract, transform, and integrate financial and operational data from multiple sources
- Deliver end-to-end analytics and reporting solutions, including KPI definition, backend data preparation, and visualization dashboards
- Design, build, and maintain automated and reusable data pipelines to support analytics and reporting
- Write and optimize complex SQL queries to support analytical use cases
- Use data preparation and automation tools (e.g., Alteryx) to streamline transformations
- Work with enterprise data platforms including Microsoft Fabric, Azure, and Snowflake
- Collaborate with business and functional stakeholders to understand reporting needs and translate them into data solutions
- Apply financial and business context to ensure analytics outputs are accurate, consistent, and meaningful
- Communicate insights, trends, and drivers clearly through dashboards and stakeholder discussions
Requirements:
- 5+ years of experience in analytics, BI, or data-focused roles
- Strong proficiency in SQL and experience with Alteryx, Python, or similar tools
- Comfortable working across data engineering and analytics use cases, with exposure to BI
- Familiarity with financial data concepts (e.g., trial balances, P&L, revenue data) and the ability to translate them into analytical solutions
- Experience supporting finance, accounting, or business teams is strongly preferred
- Ability to clearly explain insights and findings to non-technical stakeholders
- Passion for developing and maintaining client relationships
- Thrives in an ever-changing, dynamic work environment
- Comfortable with identifying problems and instinctively looking for solutions
Benefits:
- Flexible work arrangements
- Professional development opportunities
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