Sr. Financial Analyst

The Sr. Financial Analyst at Esri is pivotal in analyzing business results, engaging across departments, and collaborating with leadership to drive insights. Responsibilities include establishing frameworks to evaluate key initiatives, developing financial models for forecasting, preparing executive reports, extracting data for detailed analysis, and coordinating with management to facilitate information gathering. Additionally, you will work closely with budget owners to ensure an accurate annual plan and manage monthly performance reporting.

To qualify for the Sr. Financial Analyst position at Esri, you’ll need at least 8 years of experience in financial planning and analysis, a strong analytical background, and advanced Excel skills. A Bachelor's degree in Finance, Accounting, or a related field is essential, alongside excellent communication skills for presenting insights. Preferred qualifications include experience with SAP, analytical reporting tools, SQL, and familiarity with budgeting methodologies. An MBA and certifications like CFA or CPA are considered assets.

Esri is committed to supporting the professional growth of its employees, including Sr. Financial Analysts. The company provides various opportunities for personal development, mentorship, and continuous learning alongside a competitive total rewards strategy. Employees can expect exposure to cross-functional projects, enhancing their skills and career prospects while contributing to innovative solutions that create positive change.

The expected salary range for a Sr. Financial Analyst at Esri is between $95,992 and $166,296 USD. This range reflects varied factors including skills, experience, and organizational needs. At Esri, total rewards include competitive health benefits, vacation time, and other incentives that complement base salary, making it a rewarding workplace.

At Esri, diversity and inclusion are crucial values that foster innovation and collaboration. As a Sr. Financial Analyst, you will be part of a diverse workforce that is encouraged to share unique perspectives and experiences. The company's commitment to creating an inclusive environment ensures that all employees can contribute to their best work, further promoting a culture of respect and equity.

When discussing your experience with financial modeling, focus on specific projects where your models improved forecasting accuracy or decision-making processes. Mention tools used, such as Excel, and highlight any sophisticated techniques you've applied. Providing measurable outcomes from your modeling efforts will demonstrate your impact effectively.

During your interview, share an example where you had to break down complex financial data into simple terms. Discuss how you tailored your presentation to engage your audience, emphasizing visual aids or simplified explanations. Focus on the outcome—did your audience understand the financial implications? How did your insights influence decision-making?

To answer this, illustrate your time management skills by describing techniques you use to prioritize tasks, such as creating a structured outline of your responsibilities. Mention any experiences where you successfully delivered quality analyses under tight deadlines, and don’t forget to highlight your collaboration with team members to ensure cohesive performance.

Highlight your familiarity with essential tools and software such as Excel, SAP, and any analytical reporting tools you've used. If you have experience with SQL or data visualization programs, be sure to mention them as well. Explain how these tools have helped you enhance your analysis efficiency and accuracy.

In your response, underscore the importance of communication and relationship-building. Share an example of effective collaboration across departments, detailing how you facilitated information sharing and ensured everyone was aligned towards common business goals, especially in financial planning cycles.

Discuss specific forecasting techniques you’ve applied, such as trend analysis or scenario planning. Remember to mention how you incorporate data from various departments and previous performance metrics to build reliable forecasts, emphasizing your analytical thought process.

Explain your commitment to continuous learning by mentioning resources you rely on, such as industry publications, webinars, and professional organizations. Additionally, discuss how you apply new knowledge to your work at Esri to ensure compliance and leverage emerging trends for better financial strategies.

When addressing challenges, provide a specific example where you encountered a complex problem in analysis. Discuss the steps you took to navigate through it, whether that meant collaborating with other teams, recalibrating your approach based on new data, or learning a new tool. Highlight the outcome and your learning experience.

In your answer, detail your process for verification, including checks and validations you perform before finalizing reports. Discuss the importance of cross-referencing data with other sources or departments to avoid discrepancies, emphasizing both your diligence and the collaborative nature of financial reporting.

Share your passion for financial analysis, highlighting your enthusiasm for transforming complex data into actionable insights. Discuss your drive to foster strategic decision-making within the company and your desire to contribute to initiatives that create positive global change, aligning with Esri’s mission.