Finance Analytics Manager
Riveron
Job Overview
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Job Description
About Role
The Finance Analytics Manager will be a hands-on technical leader responsible for designing, developing, and delivering complex finance-focused analytics solutions. This role combines deep data engineering and analytics expertise with strong financial understanding, while also providing technical leadership, mentoring team members, and partnering closely with stakeholders to deliver high-quality, business-aligned solutions.
Who You Are
- 8+ years of experience in data-focused roles with significant hands-on delivery experience
- Strong expertise in SQL and hands-on experience with Alteryx, Python, or similar tools
- Proven ability to design and build complex analytics and data engineering solutions
- Strong understanding of financial data concepts (e.g., trial balances, P&L, revenue data) and their application in analytics solutions
- Comfortable working across data engineering, analytics, and BI use cases
- Experience partnering with finance, accounting, and business stakeholders
- Able to clearly communicate insights and technical concepts to both technical and non-technical audiences
- Passionate about client relationships and delivering high-impact solutions
- Proactive problem-solver who takes ownership and drives outcomes
- Thrives in a fast-paced, evolving environment
- Enjoys contributing to internal and external initiatives such as training, recruiting, community service, and firm events
What You Will Do
- Architect and build analytics solutions on Microsoft Fabric, Azure, and Snowflake that support financial and management reporting
- Develop and optimize advanced transformation workflows for large, multi-source datasets
- Build sophisticated automation and analytics workflows using Alteryx and/or Python to standardize and scale finance analytics solutions
- Translate ambiguous finance and business problems into well-structured analytics and data engineering solutions
- Apply deep financial understanding to ensure analytics outputs align with accounting logic and business expectations
- Deliver finance insights and narratives through advanced dashboards using Power BI, Tableau, or similar tools
- Lead hands-on development while mentoring team members on financial data modeling, analytics patterns, and problem-solving
- Mentor junior team members through hands-on collaboration, design discussions, and technical guidance
- Drive insight generation and storytelling across interconnected datasets
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.
Key skills/competency
- Data Engineering
- Financial Analytics
- SQL Expertise
- Alteryx & Python
- Microsoft Fabric
- Azure & Snowflake
- Power BI & Tableau
- Financial Data Modeling
- Stakeholder Management
- Problem Solving
How to Get Hired at Riveron
- Research Riveron's culture: Study their mission, values (DELTA), recent news, and employee testimonials on LinkedIn and Glassdoor to align your application.
- Tailor your resume for analytics: Highlight your extensive experience in finance analytics, data engineering, SQL, Alteryx, Python, and BI tools like Power BI and Tableau.
- Showcase problem-solving skills: Prepare detailed examples of how you've translated ambiguous financial problems into well-structured, impactful analytics solutions.
- Emphasize technical leadership: Demonstrate your ability to lead hands-on development, architect solutions, and mentor team members in complex data environments.
- Prepare for finance-specific questions: Be ready to discuss financial data concepts such as trial balances, P&L, revenue data, and how accounting logic impacts analytics outputs.
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