Getting ready for a Business Analyst interview at Better? The Better Business Analyst interview process typically spans a diverse range of question topics and evaluates skills in areas like data analysis, stakeholder communication, business process optimization, and translating complex findings into actionable recommendations. Interview preparation is especially important at Better, where Business Analysts are expected to drive impact by combining analytical rigor with clear, strategic communication to influence decision-making and improve core business outcomes.
In preparing for the interview, you should:
At Interview Query, we regularly analyze interview experience data shared by candidates. This guide uses that data to provide an overview of the Better Business Analyst interview process, along with sample questions and preparation tips tailored to help you succeed.
Better is a technology-driven mortgage company that streamlines the home-buying process through its digital platform, offering mortgage, real estate, title, and insurance services. Focused on transparency, efficiency, and customer satisfaction, Better eliminates traditional commissions and paperwork to simplify securing a home loan. As a Business Analyst, you will support data-driven decision-making and process improvements, directly contributing to Better’s mission to make homeownership faster, simpler, and more accessible.
As a Business Analyst at Better, you will analyze business processes, data, and performance metrics to identify opportunities for operational improvements within the company’s digital mortgage and financial services offerings. You will work closely with cross-functional teams such as product, engineering, and operations to gather requirements, develop solutions, and implement process enhancements that improve customer experience and streamline workflows. Typical responsibilities include creating reports, conducting market and competitor analyses, and presenting actionable insights to stakeholders. This role is essential in supporting data-driven decision-making and ensuring Better delivers efficient, customer-focused solutions in the mortgage industry.
The initial step involves a detailed review of your application and resume by the recruiting team. They assess your experience in business analysis, data-driven decision-making, stakeholder communication, and your ability to translate complex data into actionable insights. Emphasis is placed on relevant industry experience, proficiency with analytics tools, and clear examples of impact in previous roles. To prepare, ensure your resume highlights your analytical skills, communication strengths, and successful project outcomes.
This is typically a 20-30 minute phone call with a recruiter, designed to confirm your interest in Better and the Business Analyst role. Expect questions about your background, motivation for applying, and how your skills align with the company’s mission. The recruiter may probe your understanding of business analysis fundamentals, data visualization, and your approach to solving business problems. Preparation should focus on articulating your career story, demonstrating enthusiasm for the role, and connecting your experience to Better’s objectives.
The technical round is conducted by the hiring manager or a senior analyst and centers on your analytical thinking, problem-solving abilities, and data interpretation skills. You may be asked to walk through case studies involving metrics tracking, A/B testing, dashboard design, or optimizing business processes. Expect to discuss how you would evaluate promotions, measure marketing efficiency, analyze customer behavior, or address data quality issues. Preparation should include reviewing key business analysis concepts, practicing clear explanations of complex scenarios, and being ready to discuss your approach to real-world business problems.
This stage assesses your communication style, stakeholder engagement, and adaptability. Interviewers look for evidence of collaboration, conflict resolution, and your ability to make data accessible to non-technical audiences. You may be asked to describe challenges in data projects, how you present insights to executives, or how you handle misaligned expectations. Preparation should focus on structuring your responses using the STAR method and reflecting on examples that showcase your interpersonal and presentation skills.
The final round typically involves a deeper conversation with the hiring manager or a member of the analytics leadership team. This session may cover both technical and behavioral topics, and is your opportunity to demonstrate your strategic thinking and alignment with Better’s values. You may be asked to justify analytical approaches, propose solutions to hypothetical business challenges, and discuss your vision for contributing to the team. Preparation should include synthesizing your experiences, articulating your impact on previous projects, and preparing thoughtful questions about the team and company.
Once interviews conclude, the recruiter will reach out to discuss the offer, including compensation, benefits, and start date. This stage is typically straightforward, but candidates should be ready to negotiate based on market benchmarks and personal priorities. Preparation involves researching industry standards and clarifying your expectations.
The Better Business Analyst interview process generally spans 1-2 weeks from initial application to offer. Fast-track candidates may complete all stages in under a week, while the standard process allows for some flexibility in scheduling, especially for manager and onsite interviews. Most candidates experience two to three rounds, and prompt follow-up with the recruiter can help expedite the process.
Next, let’s review the types of interview questions you can expect throughout these stages.
Business Analysts at Better are often tasked with designing experiments, evaluating the impact of promotions, and identifying the right metrics to drive business decisions. Expect questions that test your ability to build structured approaches for measuring success and making data-driven recommendations.
3.1.1 You work as a data scientist for a ride-sharing company. An executive asks how you would evaluate whether a 50% rider discount promotion is a good or bad idea? How would you implement it? What metrics would you track?
Describe how you’d set up an A/B test or a quasi-experiment, define key metrics (e.g., conversion, retention, profitability), and outline how you’d interpret the results to inform business strategy.
3.1.2 The role of A/B testing in measuring the success rate of an analytics experiment
Explain how you would structure an experiment, choose control and test groups, define primary and secondary metrics, and ensure statistical significance.
3.1.3 Assessing the market potential and then use A/B testing to measure its effectiveness against user behavior
Detail how you’d estimate market size, develop hypotheses, and design an experiment to compare user engagement or conversion before and after a feature launch.
3.1.4 What metrics would you use to determine the value of each marketing channel?
Discuss multi-touch attribution, ROI, customer acquisition cost, and channel-specific KPIs; explain how you’d interpret results to optimize spend.
3.1.5 Cheaper tiers drive volume, but higher tiers drive revenue. Your task is to decide which segment we should focus on next.
Outline an approach to segment analysis, comparing lifetime value, churn, and growth potential to recommend a focus area.
This category covers your ability to analyze large, complex datasets, synthesize findings, and translate them into actionable business insights. Questions often require you to demonstrate both technical proficiency and business acumen.
3.2.1 You’re tasked with analyzing data from multiple sources, such as payment transactions, user behavior, and fraud detection logs. How would you approach solving a data analytics problem involving these diverse datasets? What steps would you take to clean, combine, and extract meaningful insights that could improve the system's performance?
Describe your data cleaning, joining, and feature engineering steps, as well as how you’d design analyses to surface actionable insights.
3.2.2 How would you present the performance of each subscription to an executive?
Summarize your approach for cohort analysis, churn metrics, and visual storytelling to highlight key trends and recommendations.
3.2.3 How would you estimate the number of gas stations in the US without direct data?
Demonstrate structured thinking and estimation techniques, using available proxies and logical assumptions.
3.2.4 How would you analyze and optimize a low-performing marketing automation workflow?
Explain how you’d identify bottlenecks, analyze conversion rates at each step, and recommend iterative improvements.
3.2.5 store-performance-analysis
Walk through how you’d use sales, traffic, and conversion data to benchmark stores and identify under- or over-performers.
Business Analysts at Better often work with large, sometimes messy datasets and are expected to design scalable data solutions and ensure data quality. You may be asked how you’d structure data warehouses or address data issues.
3.3.1 Design a data warehouse for a new online retailer
Lay out your approach to schema design, data pipelines, and how you’d ensure scalability and data integrity.
3.3.2 How would you approach improving the quality of airline data?
Discuss techniques for profiling data, identifying errors or inconsistencies, and implementing automated checks or remediation processes.
3.3.3 How would you modify a billion rows of data in a database?
Explain strategies for efficient batch updates, minimizing downtime, and ensuring data integrity at scale.
3.3.4 Design a dashboard that provides personalized insights, sales forecasts, and inventory recommendations for shop owners based on their transaction history, seasonal trends, and customer behavior.
Describe your process for dashboard design, metric selection, and tailoring insights to different user needs.
3.3.5 Demystifying data for non-technical users through visualization and clear communication
Share methods for translating complex analyses into intuitive visuals and actionable recommendations for business stakeholders.
Effective communication is essential for Business Analysts at Better, especially when aligning teams or sharing insights with non-technical stakeholders. Be prepared to describe how you would tailor your messaging and manage expectations.
3.4.1 How to present complex data insights with clarity and adaptability tailored to a specific audience
Outline your approach to storytelling with data, adapting technical depth to your audience, and using visuals to enhance understanding.
3.4.2 Making data-driven insights actionable for those without technical expertise
Discuss how you simplify findings, use analogies, and focus on business impact when communicating with non-technical partners.
3.4.3 Strategically resolving misaligned expectations with stakeholders for a successful project outcome
Share your approach to proactive communication, expectation management, and consensus-building.
3.4.4 User Experience Percentage
Explain how you would analyze and report on user experience metrics, and how you’d communicate findings to influence product decisions.
3.4.5 How would you analyze how the feature is performing?
Describe how you’d structure performance analyses, define success criteria, and present actionable recommendations.
3.5.1 Tell me about a time you used data to make a decision.
Describe the business context, the data you analyzed, and how your recommendation influenced the outcome. Highlight your impact and the measurable results.
3.5.2 Describe a challenging data project and how you handled it.
Explain the specific obstacles you faced, your approach to problem-solving, and how you ensured successful delivery.
3.5.3 How do you handle unclear requirements or ambiguity?
Share a story where you worked through vague objectives, detailing how you clarified needs, iterated with stakeholders, and delivered value.
3.5.4 Tell me about a time when your colleagues didn’t agree with your approach. What did you do to bring them into the conversation and address their concerns?
Detail your communication and collaboration strategies, and how you built consensus or adapted your approach.
3.5.5 Talk about a time when you had trouble communicating with stakeholders. How were you able to overcome it?
Describe the communication barriers and the specific steps you took to ensure alignment and understanding.
3.5.6 Give an example of how you balanced short-term wins with long-term data integrity when pressured to ship a dashboard quickly.
Explain the trade-offs you considered, how you maintained transparency, and your strategy for addressing technical debt.
3.5.7 Tell me about a situation where you had to influence stakeholders without formal authority to adopt a data-driven recommendation.
Share how you built trust, used data storytelling, and navigated organizational dynamics to drive action.
3.5.8 Describe a time you had to deliver an overnight churn report and still guarantee the numbers were “executive reliable.” How did you balance speed with data accuracy?
Discuss your prioritization, quality checks, and communication of any data limitations under tight deadlines.
3.5.9 How do you prioritize multiple deadlines? Additionally, how do you stay organized when you have multiple deadlines?
Walk through your system for tracking tasks, communicating priorities, and ensuring on-time delivery.
3.5.10 Share a story where you used data prototypes or wireframes to align stakeholders with very different visions of the final deliverable.
Describe your process for rapid prototyping and how it helped clarify requirements and accelerate decision-making.
Deeply familiarize yourself with Better's mission to streamline the mortgage process using technology and data-driven solutions. Understanding how Better differentiates itself by eliminating commissions and paperwork will help you demonstrate alignment with the company’s core values during your interview.
Study Better’s digital platform, including its mortgage, real estate, title, and insurance offerings. Be prepared to discuss how data and process optimization can directly impact customer experience, efficiency, and transparency in the home-buying journey.
Research recent initiatives, press releases, and product updates from Better. During your interview, referencing current events or product changes shows you are invested in the company’s trajectory and can speak to real business challenges and opportunities.
Be ready to articulate how your business analysis skills can help Better achieve its goals of accessibility and customer satisfaction. Use examples from your past experience where your insights led to measurable improvements in process efficiency or customer outcomes.
Demonstrate your ability to break down ambiguous business problems and structure your approach clearly. Practice outlining how you would set up experiments, such as A/B tests, to evaluate new features or promotions, specifying the metrics you’d track and how you’d interpret the results to inform business strategy.
Showcase your comfort with analyzing large, messy datasets from multiple sources. Be ready to explain your process for data cleaning, joining disparate datasets, and extracting actionable insights that can drive process improvements or strategic decisions within a fast-paced, tech-driven environment.
Prepare to discuss how you would design and present dashboards or reports for different stakeholder groups. Emphasize your ability to translate complex analyses into clear, actionable recommendations, using visual storytelling and business language tailored to both technical and non-technical audiences.
Highlight your experience with business process optimization. Practice walking through examples where you identified bottlenecks, analyzed workflow data, and collaborated with cross-functional teams to implement impactful changes.
Refine your approach to stakeholder management and communication. Prepare stories that demonstrate your ability to manage expectations, resolve conflicts, and build consensus—especially when aligning teams around data-driven recommendations in a high-growth startup environment.
Anticipate behavioral questions by reflecting on times you balanced speed with data quality, handled ambiguous requirements, or influenced others without formal authority. Use the STAR method (Situation, Task, Action, Result) to structure your responses and emphasize the business impact of your work.
Finally, be ready to discuss your familiarity with key analytics tools and frameworks relevant to business analysis at Better, such as SQL for data extraction, Excel for modeling, and data visualization tools for reporting. Be prepared to explain your technical choices and how they support scalable, reliable business insights.
5.1 How hard is the Better Business Analyst interview?
The Better Business Analyst interview is moderately challenging, with a strong focus on real-world business problem-solving, data analysis, and stakeholder communication. You’ll be expected to demonstrate both technical proficiency and a strategic mindset, especially in translating complex findings into actionable recommendations for business process improvement. Candidates with experience in fast-paced, data-driven environments and strong communication skills tend to perform best.
5.2 How many interview rounds does Better have for Business Analyst?
Typically, there are 4-5 rounds for the Better Business Analyst interview. The process includes a recruiter screen, technical/case round, behavioral interview, and a final onsite or virtual interview with analytics leadership. Each round is designed to assess different facets of your analytical, technical, and interpersonal abilities.
5.3 Does Better ask for take-home assignments for Business Analyst?
While take-home assignments are not always required, some candidates may receive a case study or data analysis exercise to complete outside of interviews. These assignments typically involve analyzing business metrics, designing experiments, or proposing solutions to process optimization challenges relevant to Better’s core business.
5.4 What skills are required for the Better Business Analyst?
Key skills include data analysis (using SQL, Excel, and visualization tools), business process optimization, stakeholder management, and the ability to communicate complex insights clearly to both technical and non-technical audiences. Familiarity with A/B testing, dashboard design, and translating data into business strategy is highly valued.
5.5 How long does the Better Business Analyst hiring process take?
On average, the process takes 1-2 weeks from initial application to offer. Fast-track candidates may complete all stages in under a week, while standard scheduling can extend the timeline slightly, especially for final interviews. Prompt communication with recruiters can help expedite the process.
5.6 What types of questions are asked in the Better Business Analyst interview?
Expect a mix of technical questions (data analysis, metrics tracking, experiment design), business case studies (process optimization, market analysis), and behavioral questions (stakeholder management, communication, handling ambiguity). You’ll also be asked to present findings and recommendations tailored to different audiences.
5.7 Does Better give feedback after the Business Analyst interview?
Better typically provides high-level feedback through recruiters, especially for candidates who reach later rounds. Detailed technical feedback may be limited, but you can expect to hear about your strengths and areas for improvement.
5.8 What is the acceptance rate for Better Business Analyst applicants?
While specific rates aren’t published, the Business Analyst role at Better is competitive, with an estimated acceptance rate of 3-6% for qualified applicants. Candidates who demonstrate both analytical rigor and strong stakeholder communication stand out.
5.9 Does Better hire remote Business Analyst positions?
Yes, Better offers remote positions for Business Analysts, reflecting its technology-driven approach and distributed team culture. Some roles may require occasional office visits for team collaboration, but remote work is widely supported.
Ready to ace your Better Business Analyst interview? It’s not just about knowing the technical skills—you need to think like a Better Business Analyst, solve problems under pressure, and connect your expertise to real business impact. That’s where Interview Query comes in with company-specific learning paths, mock interviews, and curated question banks tailored toward roles at Better and similar companies.
With resources like the Better Business Analyst Interview Guide and our latest case study practice sets, you’ll get access to real interview questions, detailed walkthroughs, and coaching support designed to boost both your technical skills and domain intuition.
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