FP&A Analyst – Financial Data Analysis

Job Description

Analyst, FP&A | Boart Longyear

The Tone:
This is a full-time role at Boart Longyear, operating in a hybrid work environment. Established in 1890, Boart Longyear is the world’s leading provider of innovative, safe, and productivity-driven drilling equipment and tooling, primarily focused on mining and exploration activities. This role is crucial for supporting the Products division by providing data analysis and reporting, directly influencing business decision-making within global operations. It offers hands-on exposure to financial reporting, business analytics, and a collaborative team setting.

The TL;DR
• Role: Early Career
• Type: Full-time
• Location: Hybrid work environment

• Team: Global FP&A team, supporting the Products division
• Mission: Provide insights through data analysis and reporting to support business decision-making.
• Tech Stack: Excel (formulas, pivot tables)

What You’ll Actually Do
• Reporting Development: Prepare and maintain standard reports on sales performance, P&L analytics, and key business metrics.
• Data Management: Help gather, validate, and organize data from various internal stakeholders to ensure accuracy and completeness.
• Performance Analysis: Provide basic analysis on sales trends, product performance, and operational KPIs to highlight insights.
• Commission Support: Assist in monthly sales commission calculations and related reporting tasks.
• Cross-functional Collaboration: Work with Finance, Sales, and Product teams to understand reporting needs and fulfill ad-hoc analysis requests.

The Must-Haves
• Background: Entry-level professional with a Bachelor’s degree in Finance, Accounting, Business, Economics, Data Analytics, or a related field.
• Experience: 2-5 years of relevant experience, including internships, co-ops, or academic projects.
• Skills: Strong attention to detail, basic analytical and problem-solving capabilities, good communication skills to explain data clearly, and beginner to intermediate Excel proficiency.
• Bonus: Prior exposure to financial analysis, reporting, or data analytics, and Spanish language skills.