Consultant/Associate Consultant

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Vena Solutions

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2011

☁️ SaaS

💸 Finance

🤝 B2B

💰 Debt Financing - Vena Solutions on 2025-04

SaaS • Finance • B2B

Vena Solutions is a SaaS provider of an Excel-native financial planning and analysis (FP&A) platform that helps finance teams with budgeting, forecasting, reporting, consolidation, and cash-flow and workforce planning. The platform integrates natively with Microsoft 365 apps, ERP/CRM/HRIS systems, and includes an OLAP database (CubeFLEX) and AI features (Vena Copilot) to accelerate modeling, collaboration, and decision-making for enterprise finance organizations.

📋 Description

• Support the implementation of Vena product for our customers, being responsible for configuring the data model, financial templates and reports, integrating data from customer systems and setting up automated workflows • Deliver against our customer satisfaction and time-to-value metrics • Actively participate in on-site or virtual workshops with customers to elicit business and technical requirements • Enable customers through your superb communication skills to adopt the product and maximize value from their Vena investment • Work closely with Project Managers day-to-day to deliver projects on time and on budget, proactively communicating issues as needed • Be a self starter when learning our product, demonstrate a get-your-hands-dirty approach and ask lots of questions • Travel as required

🎯 Requirements

• A Bachelor’s degree and 1-2 work experience in Financial Planning & Analysis (FP&A)/Accounting and/or Software Implementation • A passion for continuously learning new technology, and improving business processes for our customers • Resourcefulness and eagerness to learn and grow, takes initiative to find answers • Excellent communication skills, proactively asks thoughtful questions, and demonstrates understanding of customer needs • Ability to work collaboratively in a team environment, and present effectively with all levels in an organization • Experience in applying problem solving skills (quantitative, conceptual, analytical) • Strong Microsoft Excel skills • Data Integration and data modeling experience, or a willingness to learn • Experience or knowledge of database management (i.e. ETL, Oracle, SQL Server, etc.