Finance Information Systems Specialist

As a Finance Information Systems Specialist, you will own the end-to-end billing cycle and revenue operations, ensuring accuracy and efficiency across large-scale data. You’ll collaborate closely with CX, Legal, Finance, R&D, and Product teams to streamline processes and support decision-making. The role is highly systems-oriented, working mainly with NetSuite, Zuora, and AI/BI tools to optimize billing, automation, and reporting.

Work Environment:

What Do We Do

Elementor is where web creation happens for real.

We are a multi-product platform powering over 13% of the internet.

Our products give millions of web creators — developers, designers, and marketers — everything they need to build, scale, and succeed.

From Israel to more than 160 countries, a new website goes live with Elementor every 10 seconds.

How Do We Do It

By staying AI-first, data-driven, and human-led.

We build real products that deliver real value — and we do it together.

At Elementor, creativity, fast feedback, and open collaboration shape everything we do.

You will find good energy and people who genuinely care about the product, the users, and each other.

It is a place to grow, make an impact, and help shape the future of the web.

Responsibilities:

• Manage the end-to-end billing cycle, including invoice generation in NS, distribution, and reconciliation within NetSuite and Zuora.
• Investigate and resolve billing discrepancies and customer inquiries in a timely and professional manner.
• Collaborate with CX, legal and bookkeeping teams to ensure billing accuracy and compliance.
• Conduct month-end and year-end close activities related to billing and revenue recognition.
• Serve as a key user and administrator for our billing and financial systems, primarily NetSuite and Zuora.
• Maintain data integrity and accuracy across all relevant systems, with a focus on managing and validating large datasets.
• Identify and implement system enhancements and automations to improve efficiency and reduce manual effort for high-volume transactions.
• Develop and maintain documentation for billing processes and system procedures.
• Collaborate with R&D, IT and other departments on system upgrades, integrations, and new system implementations.
• Demonstrate strong systems awareness, understanding the interconnectedness of various platforms and data flows.
• Conduct comprehensive data analysis of billing trends, revenue metrics, and customer accounts, specifically with the ability to handle and interpret big volume of data.
• Generate regular and ad-hoc reports to support financial forecasting, operational insights, and strategic decision-making.
• Identify opportunities for process improvement and cost reduction through data-driven insights.
• Present findings and recommendations to stakeholders in a clear and concise manner.
• Actively research and explore emerging AI tools and technologies that could enhance billing efficiency, fraud detection, revenue assurance, or data analysis capabilities, particularly for large-scale data operations.
• Propose and, where appropriate, pilot new AI-driven solutions to optimize existing processes.
  
  

• 3-5 years of experience in a finance operations, or information systems role, preferably within a fast-paced environment.
• Demonstrated experience working with and managing large volumes of customer or transactional data
• Proven hands-on experience with NetSuite is essential.
• Strong practical experience with Zuora (or similar subscription billing platforms) - An Advantage.
• Excellent ability to perform robust data analysis using AI/BI tools
• Strong systems awareness and understanding of how different business systems integrate and impact financial operations.
• Excellent analytical and problem-solving skills with a keen eye for detail.
• Ability to work independently and collaboratively in a team environment.
• Excellent communication (written and verbal) and interpersonal skills.
• Proactive, curious, and eager to learn new technologies and processes.
• Experience with or a strong interest in exploring AI tools and their application in business processes.
• Experience with SQL or other querying languages- Optional
• Bachelor's degree in Finance, Accounting, Business Administration, Information Systems, or a related field.