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Finance Analytics Engineer - Remote

Posted 2 days ago
Data Analysis
Full Time
India

Overview

The Finance Analytics Engineer will be a hands-on contributor responsible for delivering finance-focused analytics solutions that combine strong data engineering capabilities with solid financial understanding.

In Short

  • 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
  • Familiarity with financial data concepts
  • Experience supporting finance, accounting, or business teams preferred
  • Ability to explain insights to non-technical stakeholders
  • Passion for developing client relationships
  • Effective communication skills
  • Thrives in a dynamic work environment
  • Identifies problems and looks for solutions

Requirements

  • Extract, transform, and integrate financial and operational data
  • Deliver analytics and reporting solutions, including KPI definition
  • Design, build, and maintain automated data pipelines
  • Write and optimize complex SQL queries
  • Use data preparation and automation tools
  • Work with enterprise data platforms
  • Collaborate with stakeholders to understand reporting needs
  • Apply financial context to ensure analytics outputs are meaningful

Benefits

  • Flexible work environment
  • Progressive benefits
  • Opportunities for impactful work
  • Mentorship and growth opportunities
  • Inclusive company culture
Riveron logo

Riveron

Riveron is a consulting firm that specializes in providing financial system administration and optimization services to clients. With a focus on enhancing the efficiency of financial workflows, Riveron supports organizations in managing their financial systems, particularly through expertise in Concur's Expense, Travel, and Invoice modules. The company prides itself on delivering high-quality user support, troubleshooting complex system issues, and driving continuous improvements to ensure smooth operations and data integrity across various departments.

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