A financial analyst evaluates data in order to help businesses make better financial decisions. To do this, they collect and analyze data, make reports about the situation and possible risks, and create financial models.
A financial analyst acts in a largely technical capacity. The people who report on the state of a business must be organized and have a good eye for detail. They also need to be able to use the data they collect to come up with creative new ways to boost sales and productivity.
Variance analysis is a critical skillset that financial professionals need to master. As a key component of budgeting and forecasting variance analysis involves analyzing differences between actual results and expected results to understand what drove the deviations and take corrective actions.
Proficiency in variance analysis is a must-have for accountants, financial analysts, controllers and other roles involved in performance reporting and financial management. It’s no surprise that variance analysis is a common topic that comes up in interviews for these positions.
In this article, I’ll provide an overview of variance analysis and walk through the top 15 variance analysis interview questions you should prepare for. Mastering your responses to these questions is key to showcasing your skills and landing the job
What is Variance Analysis?
Let’s start with a quick primer on what variance analysis entails:
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Variance analysis compares actual results to budgeted or standard costs to identify and analyze deviations.
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Key variances examined include sales volume, material costs, labor costs, overhead costs and more.
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The goal is to pinpoint the root causes of variances, whether favorable or unfavorable.
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Findings from variance analysis are used to guide corrective actions and inform future budgeting.
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It relies on having accurate standard costs and budgets in place for comparison.
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Serves as a monitoring tool to identify potential issues early.
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Helps businesses maintain operational control and stay on track with financial goals.
Now that we’ve covered the basics, let’s get into the top interview questions on variance analysis that you should be ready for:
The Top 15 Variance Analysis Interview Questions
1. Walk me through the key steps of conducting variance analysis.
This is likely to come up early in the interview to assess your foundational knowledge. Structure your response to demonstrate the step-by-step process:
- Compare actual results to budgets/standards to identify variances
- Categorize variances as favorable or unfavorable
- Break down variances into quantity, price, efficiency etc. to isolate causes
- Identify drivers such as production costs, input prices, sales volumes
- Calculate the dollar amounts associated with each variance
- Present findings to stakeholders and recommend actions
Discuss how you track trends over periods to identify ongoing issues versus one-time events. Share any best practices you’ve implemented around variance reporting and analysis.
2. How would you determine the accuracy of standard costs used in variance analysis?
The reliability of variance analysis hinges on having accurate standard costs in place. Interviewers want to assess how diligent you are in validating standards.
- Review current production/service delivery processes and document standard material and labor requirements.
- Collaborate with department heads to gather input on standards.
- Compare standards against recent budgets, actual costs, and industry benchmarks.
- Perform walkthroughs to confirm time/resource needs match documented standards.
- Implement formal periodic reviews to keep standards up-to-date.
Emphasize the importance of accurate standards and your commitment to continuous monitoring and improvement.
3. What are some limitations or challenges with relying on variance analysis?
While variance analysis is crucial, it isn’t perfect. Be ready to discuss its limitations:
- Time lag – analysis is backward-looking at previous periods.
- Standards can be subjective or become outdated.
- Root causes can be difficult to pinpoint.
- Focuses on cost control vs long-term strategy.
- Large variances don’t necessarily indicate serious problems.
- Data collection and analysis can be time-consuming.
Discuss how you seek to overcome these challenges, such as by using supplemental leading indicators, keeping standards current, performing deep-dive investigations into causes, and focusing on materiality over precision.
4. How would you analyze and interpret a sales volume variance?
Being able to analyze and interpret specific types of variances is key. For a sales volume variance:
- Determine if actual sales units sold were above or below budget.
- Calculate dollar amount of the variance.
- Identify potential drivers such as changes in customer demand, new competition, pricing issues etc.
- Assess the impact on overall profitability.
- Recommend solutions – adjust production/staffing, revise sales forecasts etc. based on findings.
Discuss both favorable and unfavorable scenarios and how you would respond to each. Share examples of sales volume variances you successfully analyzed and addressed.
5. Explain how you would investigate and resolve a material price variance.
Similar to sales volume, be ready to walk through investigating material price variances:
- Compare standard cost to actual cost of materials purchased/used.
- Determine whether the total variance stems from price changes or usage changes.
- Research material pricing trends, supplier agreements, etc. to identify root cause.
- Calculate impact on cost of goods sold and profitability.
- Consider options like finding substitute materials, negotiating supplier contracts, changing product design to resolve.
Emphasize your ability to trace variances back to their root causes and implement solutions that improve profitability.
6. How would you analyze and interpret an overhead spending variance?
Overhead is a key area of focus. Discuss your approach:
- Compare actual overhead spending to budgeted amounts.
- Break down overall variance into sub-accounts like utilities, salaries, rent, etc.
- Identify variable vs fixed overhead accounts to hone in on controllable costs.
- Look at period-over-period trends to determine if a one-time event or systemic issue.
- Dig deeper into root causes through research and discussions with department heads.
- Develop solutions to align spending with budget and operational needs.
Convey your expertise in overhead cost analysis and controlling discretionary spending.
7. Tell me about a time when variance analysis led you to uncover a critical insight.
Expect behavioral interview questions like this that probe into your past experience. Outline a specific example that highlights your analytical abilities:
- Describe the scenario and your role.
- Explain the variance you identified and how you investigated underlying factors.
- Share the pivotal insight uncovered through your analysis.
- Discuss how this insight impacted strategic and operational decisions.
- Share the business impact – cost savings, higher profitability etc.
Choose an example that demonstrates both your technical competence and business acumen.
8. How would you communicate the results of a complex variance analysis to senior executives?
Success in variance analysis involves not just crunching numbers but also effectively conveying insights to decision-makers. Discuss your approach:
- Focus on the big picture – summarize the key deviations and their implications.
- Use simple, clear language avoiding technical jargon.
- Present insights in a visually impactful manner using charts/graphs.
- Provide recommendations on specific actions to address variances.
- Be prepared to answer questions and clarify with supporting data.
- Follow up with written report for reference.
The goal is to translate complex findings into an accessible, results-oriented narrative.
9. What steps would you take if variance analysis uncovered a significant problem area?
Interviewers want to understand your problem-solving abilities when variances point to larger systemic issues:
- Conduct root cause analysis to pinpoint the factors driving the variance.
- Quantify the financial impact and tie it back to operational metrics.
- Collaborate with other departments to brainstorm potential solutions.
- Weigh costs/benefits of options and align on an action plan.
- Implement process changes or controls to address the issue.
- Monitor results on an ongoing basis and refine approach as needed.
Emphasize your commitment to continuous improvement. Use a specific example if possible.
10. How can technology like data analytics assist with variance analysis?
Today’s finance professionals need to be skilled in leveraging technology. Discuss relevant solutions:
- ERP systems capture and integrate actuals for easy comparison to budgets.
- Data visualization tools spotlight trends and outliers.
- Data mining techniques help uncover root causes of variances.
- Automation can expedite repetitive analysis tasks.
- Statistical models predict future deviations.
- Cloud-based platforms enable mobile access and real-time reporting.
Demonstrate you are up-to-speed on modern technologies for data-driven analysis and insights.
11. What are the most critical variances to focus on for an e-commerce company?
Tailoring variance analysis to the business context is important. For e-commerce:
- Revenue driven by web traffic, conversion rates – analyze any sales variances.
- Fulfillment costs, shipping times pivotal – examine fulfillment KPIs.
- Web hosting costs, platform performance essential – monitor tech variances.
- Customer acquisition/retention metrics move the needle – track marketing channel effectiveness.
Discuss your understanding of e-commerce levers and ability to hone in on key operational and financial drivers.
12. How would your variance analysis approach differ for a nonprofit vs. a manufacturing company?
Nonprofits have unique considerations, including:
- Revenue mix may include grants, donations – analyze any shortfalls.
- Labor is heavy portion of costs – track employee productivity.
- Fund restrictions – ensure adherence.
- No products produced – focus on service
Financial analysts are responsible for creating an accurate representation of company finances. In order to accurately generate reports, mine data, and provide advice, a skilled financial analyst will:
- Accurately interpret data
- Send clear data and action plans to executives and upper level management
- Pay close attention to details so you can fix and improve data as needed.
- Keep up with current events to be able to spot trends in your field.
- Work with little-to-no supervision
A financial analyst is the contact point between the company’s management and its data. Therefore, the position occupies an important role within the business. Most businesses will want a financial analyst with at least a bachelor’s degree in money or a related subject.
Also, you need to know a lot about the industry’s data, so having experience with forecasting, reporting, statistics, and financial modeling will help you get a job in the field.
Before you go on an interview for a job as a financial analyst, you can get ready by learning as much as you can about the company. Learn about the 9 things you should research before an interview.
Salaries for financial analysts range between $91K and $151K with the median being $116K.
- Degrees (associates or equivalent certificate, bachelors, masters)
- Years of Experience
- Location
- Form of Reporting (level of seniority of the boss you answer to and number of direct reports)
- Level of Performance – Exceeding Expectations
Be ready for anything with the interview simulator.
What is Variance Analysis?
FAQ
How do you explain variance analysis?
What are the three main uses for variance analysis?
How do I interview for a role involving variance analysis?
When interviewing for a role involving variance analysis, it’s imperative to demonstrate not just your proficiency with numbers but also your ability to draw meaningful insights and contribute to strategic decision-making.
What is variance analysis all about?
What is Variance Analysis? Variance analysis can be summarized as an analysis of the difference between planned and actual numbers. Show more Variance analysis can be summarized as an analysis of the difference between planned and actual numbers.
What is an example of a variance analysis?
Example: “ In performing variance analysis for a company with multiple product lines, I would begin by categorizing variances into favorable and unfavorable to quickly identify areas of concern. For each product line, I would dissect the variances into key components: sales volume, pricing, cost of goods sold, and overheads.
What variances should management look at?
This is another variance that management should look at. Management should address why the actual labor price is a dollar higher than the standard and why 1,000 more hours are required for production. The same column method can also be applied to variable overhead costs.