Technology and Innovation - Finance Analytics Engineer

Senior Associate - Finance Analytics Engineer

About Role

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. This role involves working closely with accounting and business data, building scalable data solutions, and translating data into clear, actionable insights for stakeholders.

Who You Are

• 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

• You have a passion for developing and maintaining client relationships

• You get the job done and have fun doing it

• You communicate skilfully with a variety of audiences and can create compelling stories from data

• You thrive in an ever-changing, dynamic work environment

• You readily identify problems and instinctively look for solutions

• You enjoy participating in internal and external company initiatives such as community service, training, recruiting, and firm events

What You Will Do

• 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

About Riveron:

At Riveron, we partner with clients—from global multinationals to high-growth private entities—to solve complex finance challenges, guided by our DELTA values: Drive, Excellence, Leadership, Teamwork, and Accountability. Our entrepreneurial culture thrives on collaboration, diverse perspectives, and delivering exceptional outcomes. We are committed to fostering growth, both for our clients and our people, through mentorship, integrity, and a client-centric approach. This inclusive environment offers flexibility, progressive benefits, and meaningful opportunities for impactful work that supports well-being in and out of the office.

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Riveron Consulting is an Equal Opportunity Employer and believes that we are stronger together through our diversity. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, disability status, protected veteran status, sexual orientation, gender identity or any other characteristic protected by law.

Fraud Alert

Please beware of fraudulent schemes or impersonations when going through the job application process. A Riveron employee will never recruit via text or extend unsolicited employment offers. Additionally, a Riveron employee will never ask you to exchange money or purchase anything as part of the recruiting process.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.