Newton.co is hiring a
Accounting Analyst

Summary

The job is for a Business Intelligence Analyst at Newton, a Canadian cryptocurrency trading platform. The role involves financial analysis, forecasting, and reporting to uphold the company’s financial health and growth strategy. The position requires 1 to 3 years of relevant work experience in operations, financial reporting, analysis, and planning. Bonus qualifications include interest or knowledge in the digital asset space, experience with SaaS and Start-up financial metrics, proficiency in Python, SQL, FP&A tools such as Cube, and business intelligence tools like Metabase.

Requirements

• 1 to 3 years of relevant work experience in operations, financial reporting, analysis, and planning
• Expert technical proficiency in Microsoft Excel (including Power Query, Power Pivot)

Responsibilities

• Deliver daily, weekly, and monthly financial analytics to various stakeholders
• Provide business intelligence and recommendations to stakeholders using inquiry, data, and reporting
• Collaborate with operations team on budgeting, variance analysis and special initiatives
• Prepare ad-hoc financial and operational analysis as requested
• Aid the broader finance and operations teams on special initiatives (e.g., systems implementation) and provide support on funds reconciliation, cash processing, and inventory management as needed
• Assist with financial statement and tax reviews and audits
• Review business transactions to identify relevant accounting/reporting issues and potential cost-saving opportunities
• Manage Vendor Contract Management
• Identify, analyze, and interpret data trends and patterns
• Prepare reports for management and investors highlighting business performance and trends
• Support decision-making in business operations through data analysis

Preferred Qualifications

• Interest or knowledge in the digital asset space
• Experience with SaaS and Start-up financial metrics
• Familiarity with techniques (Python, SQL) to extract, analyze, and drive insight from large data sets
• Proficiency in financial planning and analysis (FP&A) tools such as Cube, for financial modeling and reporting
• Proficiency in business intelligence tools such as Metabase for data analysis, visualization, and presentation to drive insights and support business decisions