Move Business Analyst Interview Guide

Getting ready for a Business Analyst interview at Move? The Move Business Analyst interview process typically spans 4–6 question topics and evaluates skills in areas like data analytics, stakeholder communication, business strategy, and experimental design. Interview preparation is especially important for this role, as Move expects candidates to demonstrate the ability to drive actionable insights from complex datasets, communicate findings to diverse audiences, and solve business challenges specific to the dynamic world of online marketplaces and logistics.

In preparing for the interview, you should:

• Understand the core skills necessary for Business Analyst positions at Move.
• Gain insights into Move’s Business Analyst interview structure and process.
• Practice real Move Business Analyst interview questions to sharpen your performance.

At Interview Query, we regularly analyze interview experience data shared by candidates. This guide uses that data to provide an overview of the Move Business Analyst interview process, along with sample questions and preparation tips tailored to help you succeed.

Move is a leading provider of online real estate services, operating platforms such as Realtor.com that connect home buyers, sellers, and real estate professionals. The company leverages technology and data to simplify the home search and transaction process, making real estate information more accessible and actionable. Move’s mission is to empower consumers with trusted resources for making informed property decisions. As a Business Analyst, you will contribute to optimizing business operations and strategy, supporting Move’s commitment to innovation and customer-centric solutions in the real estate industry.

As a Business Analyst at Move, you are responsible for gathering and evaluating business requirements to support the company’s real estate technology solutions. You will work closely with cross-functional teams—including product managers, engineers, and marketing—to analyze data, identify trends, and recommend process improvements that enhance customer experience and operational efficiency. Core responsibilities include documenting business processes, facilitating communication between technical and non-technical stakeholders, and providing actionable insights to inform strategic decisions. This role is key to ensuring that Move’s products and services align with market needs and company objectives, driving growth and innovation within the organization.

2.1 Stage 1: Application & Resume Review

The process begins with a thorough review of your application and resume, with an emphasis on your experience in data analysis, business intelligence, and stakeholder communication. The screening team looks for demonstrated ability in extracting insights from large datasets, proficiency in tools such as SQL and Python, and a track record of driving actionable business recommendations. Tailoring your resume to highlight relevant projects, technical expertise, and impact on business outcomes will help you stand out in this initial stage.

2.2 Stage 2: Recruiter Screen

Next, you’ll have a conversation with a recruiter, typically lasting 20–30 minutes. This call is designed to assess your motivation for joining Move, your understanding of the company’s mission, and your alignment with the business analyst role. Expect to discuss your background, core skills, and why you’re interested in Move specifically. Preparation should include a concise narrative of your career path, clarity on your interest in analytics within the mobility or technology sector, and familiarity with Move’s products and values.

2.3 Stage 3: Technical/Case/Skills Round

This stage involves one or more interviews focused on your analytical and problem-solving abilities. You may be asked to solve business case studies, perform live SQL or Python exercises, or walk through your approach to data challenges such as evaluating the impact of promotions, designing data pipelines, or analyzing user journeys. The interviewers, often business analytics managers or senior analysts, will evaluate your structured thinking, technical depth, and ability to translate data into actionable insights. Prepare by practicing business case frameworks, reviewing statistical concepts, and being ready to explain your methodology for cleaning, combining, and interpreting complex datasets.

2.4 Stage 4: Behavioral Interview

The behavioral round focuses on your interpersonal skills, stakeholder management, and adaptability in a dynamic environment. Interviewers—often cross-functional partners or analytics leads—will explore your experience with project challenges, communication strategies, and handling ambiguous requirements. You should be ready to discuss situations where you resolved misaligned expectations, presented data-driven recommendations to non-technical audiences, or managed competing priorities. Use the STAR (Situation, Task, Action, Result) method to structure your responses and emphasize your impact on collaborative outcomes.

2.5 Stage 5: Final/Onsite Round

The final stage typically consists of a series of in-depth interviews, either virtually or onsite, with business leaders, analytics directors, and potential team members. This round may include a mix of technical deep-dives, business strategy discussions, and scenario-based questions relevant to Move’s core operations. You could be asked to design a data warehouse, propose metrics for evaluating new initiatives, or present a brief analysis to a panel. Demonstrating both business acumen and technical rigor, as well as your ability to communicate complex insights clearly, is crucial at this stage.

2.6 Stage 6: Offer & Negotiation

If you successfully navigate the previous rounds, you’ll enter the offer and negotiation phase, typically led by the recruiter or HR team. This step covers compensation, benefits, start date, and any remaining questions about the role or company culture. Preparation involves researching industry standards for business analyst compensation, clarifying your priorities, and approaching negotiations with professionalism and transparency.

2.7 Average Timeline

The typical Move Business Analyst interview process spans 3–5 weeks from initial application to final offer. Fast-track candidates with highly relevant experience or internal referrals may move through the process in as little as 2–3 weeks, while the standard pace includes a week or more between each stage to accommodate scheduling and assessment requirements. Take-home assignments or multi-step technical rounds may extend the timeline slightly, but clear communication from the recruitment team helps candidates stay informed throughout.

Next, let’s explore the types of interview questions you can expect at each stage to help you prepare effectively.

Below are sample interview questions covering the technical and business-focused areas most relevant to Business Analysts at Move. These questions focus on real-world problem solving, data-driven decision making, and stakeholder communication. For each, be ready to discuss your approach, assumptions, and how your insights can drive business impact.

3.1. Experimental Design & A/B Testing

Business Analysts at Move often design and interpret experiments to guide strategic decisions. Expect questions that probe your understanding of control groups, metrics selection, and statistical rigor.

3.1.1 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?
Explain how you’d design an experiment, set up control and treatment groups, and identify key metrics like conversion rate, retention, and profitability. Discuss how you’d monitor unintended consequences and communicate findings to leadership.
Example answer: I would run an A/B test with a matched control group, track changes in ride frequency, lifetime value, and margin, and present a dashboard summarizing both short-term lift and long-term sustainability.

3.1.2 Assessing the market potential and then use A/B testing to measure its effectiveness against user behavior
Describe how you’d size the opportunity, segment users, and set up experiments to measure impact on engagement or revenue. Highlight how you’d analyze results and recommend next steps.
Example answer: I’d estimate TAM, launch a pilot, and use statistical tests to compare user activity pre- and post-launch, iterating on features based on observed changes.

3.1.3 The role of A/B testing in measuring the success rate of an analytics experiment
Clarify how you’d structure an experiment, choose meaningful success metrics, and use statistical significance to validate results.
Example answer: I’d define clear KPIs, randomize assignment, and use t-tests or bootstrap sampling to report confidence intervals, ensuring recommendations are robust.

3.1.4 An A/B test is being conducted to determine which version of a payment processing page leads to higher conversion rates. You’re responsible for analyzing the results. How would you set up and analyze this A/B test? Additionally, how would you use bootstrap sampling to calculate the confidence intervals for the test results, ensuring your conclusions are statistically valid?
Walk through data collection, cleaning, and analysis steps, including using bootstrapping to estimate confidence intervals.
Example answer: I’d aggregate conversion data, run bootstrapped simulations to estimate uncertainty, and present recommendations with explicit statistical confidence.

3.2. Data Modeling & Analytics

Move Business Analysts need to model processes, forecast outcomes, and extract actionable insights from complex data. Be ready to demonstrate your analytical rigor and creativity.

3.2.1 How to model merchant acquisition in a new market?
Outline how you’d gather relevant data, build predictive models, and identify key drivers of acquisition.
Example answer: I’d analyze historical onboarding data, segment merchants by profile, and use regression or clustering to forecast acquisition rates and prioritize outreach.

3.2.2 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?
Discuss your process for data cleaning, joining disparate sources, and synthesizing insights for business impact.
Example answer: I’d normalize formats, resolve key mismatches, and build dashboards showing cross-source correlations to highlight actionable trends.

3.2.3 How would you approach improving the quality of airline data?
Explain your strategy for profiling, cleaning, and validating data, and how you’d communicate data quality improvements.
Example answer: I’d audit missingness, set up automated checks, and report progress using data quality scorecards.

3.2.4 Design a data warehouse for a new online retailer
Describe how you’d structure the warehouse, define key tables, and ensure scalability for business analytics.
Example answer: I’d model core entities like orders and customers, optimize for query speed, and build ETL pipelines to support reporting.

3.2.5 Design a data pipeline for hourly user analytics.
Walk through the architecture, data aggregation logic, and monitoring for reliability.
Example answer: I’d use batch processing for event logs, aggregate metrics hourly, and set up alerts for data latency or anomalies.

3.3. SQL, Data Transformation & Reporting

Expect SQL and reporting questions that assess your ability to transform raw data into business insights, automate processes, and communicate results clearly.

3.3.1 Write a query to calculate the 3-day weighted moving average of product sales.
Explain your approach using window functions and aggregation to calculate rolling averages.
Example answer: I’d partition sales data by product, use window functions for rolling weights, and format results for dashboard integration.

3.3.2 Write a function to return the names and ids for ids that we haven't scraped yet.
Describe your logic for identifying missing data and writing efficient queries or scripts.
Example answer: I’d compare existing IDs against the full list, filter out completed records, and automate the process for scalability.

3.3.3 User Experience Percentage
Show how you’d calculate and interpret user experience metrics, and communicate findings to stakeholders.
Example answer: I’d aggregate user ratings, calculate percentages, and visualize trends to guide UI improvements.

3.3.4 store-performance-analysis
Outline your approach to measuring store KPIs, benchmarking, and presenting actionable recommendations.
Example answer: I’d compile sales and customer data, run comparative analyses, and summarize findings in executive-ready reports.

3.4. Business Strategy & Impact

Business Analysts at Move are expected to connect analytics with business outcomes and strategic priorities. Be ready to discuss how your work drives measurable impact.

3.4.1 How would you estimate the number of gas stations in the US without direct data?
Demonstrate your ability to use proxy data, assumptions, and logical reasoning to answer business questions with limited information.
Example answer: I’d triangulate from population density, car ownership, and fuel consumption statistics, and validate estimates with industry benchmarks.

3.4.2 What strategies could we try to implement to increase the outreach connection rate through analyzing this dataset?
Explain how you’d use data to identify bottlenecks and recommend targeted interventions.
Example answer: I’d analyze outreach funnel data, segment by user type, and run experiments on messaging or timing to boost connection rates.

3.4.3 Which metrics and visualizations would you prioritize for a CEO-facing dashboard during a major rider acquisition campaign?
Discuss your approach to dashboard design, metric selection, and executive communication.
Example answer: I’d focus on acquisition, retention, and ROI metrics, use clear visualizations, and provide actionable insights for strategic decisions.

3.4.4 How do we go about selecting the best 10,000 customers for the pre-launch?
Describe your criteria for segmenting and ranking customers, and how you’d justify your selection method.
Example answer: I’d use engagement history, lifetime value, and demographic diversity to select a representative and high-potential cohort.

3.5 Behavioral Questions

3.5.1 Tell me about a time you used data to make a decision.
Focus on a specific example where your analysis directly influenced a business outcome or process. Highlight your reasoning and the impact of your recommendation.
Example answer: I analyzed customer churn patterns, identified a retention opportunity, and proposed a targeted campaign that reduced churn by 15%.

3.5.2 Describe a challenging data project and how you handled it.
Share details about the complexity, how you overcame obstacles, and the final result.
Example answer: I managed a cross-functional analytics project with ambiguous requirements, clarified objectives, and delivered insights that shaped product strategy.

3.5.3 How do you handle unclear requirements or ambiguity?
Demonstrate your approach to clarifying needs, managing stakeholder expectations, and iterating on solutions.
Example answer: I schedule alignment meetings, document assumptions, and use prototypes to refine requirements collaboratively.

3.5.4 Walk us through how you handled conflicting KPI definitions (e.g., “active user”) between two teams and arrived at a single source of truth.
Describe your process for reconciling definitions, facilitating consensus, and documenting standards.
Example answer: I led workshops to align on definitions, built a shared data dictionary, and updated dashboards to reflect unified metrics.

3.5.5 Tell me about a situation where you had to influence stakeholders without formal authority to adopt a data-driven recommendation.
Highlight your communication skills, data storytelling, and ability to build trust.
Example answer: I presented a compelling case for a new pricing strategy using visualizations and pilot results, gaining buy-in from skeptical stakeholders.

3.5.6 Describe a time you had to negotiate scope creep when two departments kept adding “just one more” request. How did you keep the project on track?
Explain your prioritization framework, communication strategy, and outcome.
Example answer: I quantified effort for each request, used MoSCoW prioritization, and secured leadership approval for the final scope.

3.5.7 Share a story where you used data prototypes or wireframes to align stakeholders with very different visions of the final deliverable.
Show how you facilitated alignment and iterated based on feedback.
Example answer: I built wireframes to visualize dashboard options, incorporated feedback, and achieved consensus on the final design.

3.5.8 Give an example of automating recurrent data-quality checks so the same dirty-data crisis doesn’t happen again.
Discuss your approach to automation, impact on team efficiency, and lessons learned.
Example answer: I developed scripts to flag anomalies, scheduled automated reports, and reduced manual effort by 50%.

3.5.9 Tell us about a time you caught an error in your analysis after sharing results. What did you do next?
Highlight your accountability, corrective actions, and communication.
Example answer: I quickly notified stakeholders, corrected the analysis, and implemented a peer review process for future work.

3.5.10 How have you balanced speed versus rigor when leadership needed a “directional” answer by tomorrow?
Share your triage process, how you communicated uncertainty, and ensured timely decisions without sacrificing transparency.
Example answer: I focused on high-impact data cleaning, delivered estimates with confidence intervals, and logged areas for deeper follow-up.

4.1 Company-specific tips:

Demonstrate a strong understanding of Move’s mission to simplify real estate transactions and empower consumers with actionable information. Study how Move’s platforms, especially Realtor.com, use data to connect buyers, sellers, and real estate professionals, and be prepared to discuss how analytics can enhance the customer journey in online real estate.

Familiarize yourself with the unique challenges of online marketplaces and logistics in the real estate sector. Consider how data-driven insights can optimize user experience, streamline operations, and drive business growth within Move’s ecosystem.

Understand Move’s recent initiatives, product launches, and market positioning. Research how Move differentiates itself from competitors, and be ready to discuss how business analysis can support innovation and customer-centricity in the company’s strategy.

Know the key metrics and KPIs relevant to Move’s business, such as user acquisition, retention, engagement, conversion rates, and lifetime value. Be ready to articulate how you would use these metrics to inform decision-making and measure success for both product and business initiatives.

4.2 Role-specific tips:

Showcase your ability to design and interpret A/B tests and experiments specific to online marketplaces. Practice explaining how you would set up control and treatment groups, select meaningful metrics, and use statistical rigor to evaluate the impact of new features or promotions.

Be prepared to demonstrate your approach to integrating and analyzing complex datasets, such as combining user behavior, transaction data, and third-party market information. Outline your process for cleaning, transforming, and synthesizing data to extract actionable insights that drive business results.

Practice writing clear and efficient SQL queries that calculate moving averages, identify missing data, and aggregate user experience metrics. Highlight your ability to automate data extraction and reporting processes to support business intelligence at scale.

Develop a framework for communicating technical findings to non-technical stakeholders. Use data storytelling techniques to translate analytical results into clear recommendations, and prepare examples of how you have influenced business decisions through compelling presentations or dashboards.

Anticipate questions about business strategy and impact. Practice estimating market sizes, segmenting customers for targeted outreach, and prioritizing metrics for executive dashboards. Show that you can connect analytics work to broader business objectives and strategic outcomes.

Prepare to discuss your experience with stakeholder management, especially in situations involving ambiguous requirements, conflicting priorities, or misaligned KPI definitions. Use the STAR method to structure your responses and emphasize your ability to drive consensus and deliver results in cross-functional teams.

Highlight your process for ensuring data quality and reliability. Be ready to share examples of how you have implemented automated data checks, resolved data integrity issues, or improved the quality of business-critical datasets.

Show adaptability by discussing how you balance speed and rigor in high-pressure situations. Explain your triage process for delivering quick, directional insights while maintaining transparency about data limitations and uncertainty.

Finally, reflect on your personal impact in previous roles. Prepare stories that showcase your accountability, problem-solving skills, and continuous improvement mindset—qualities that will set you apart as a Business Analyst at Move.

5.1 How hard is the Move Business Analyst interview?
The Move Business Analyst interview is considered challenging, especially for those new to online marketplaces or real estate analytics. You’ll be tested on your ability to analyze complex datasets, design experiments, and present actionable insights to both technical and non-technical stakeholders. Candidates with strong data analytics, business strategy, and stakeholder management experience will find the interview rigorous but rewarding.

5.2 How many interview rounds does Move have for Business Analyst?
Move typically conducts 4–6 interview rounds for Business Analyst candidates. The process includes an initial application and resume review, a recruiter screen, technical/case/skills interviews, behavioral interviews, and a final onsite or virtual round with business leaders. Each stage is designed to evaluate both your analytical depth and your ability to communicate and drive business impact.

5.3 Does Move ask for take-home assignments for Business Analyst?
Yes, Move often includes a take-home assignment as part of the technical or case interview stage. These assignments usually involve analyzing a real-world business scenario or dataset relevant to Move’s operations, such as experimental design, SQL analysis, or business case recommendations. The goal is to assess your problem-solving skills and ability to deliver clear, actionable insights.

5.4 What skills are required for the Move Business Analyst?
Key skills for the Move Business Analyst role include advanced data analytics (SQL, Python), business strategy, experimental design (A/B testing), stakeholder communication, and experience with online marketplace metrics. You should also be adept at synthesizing insights from complex datasets, documenting business processes, and influencing cross-functional teams.

5.5 How long does the Move Business Analyst hiring process take?
The typical Move Business Analyst hiring process takes 3–5 weeks from initial application to final offer. Fast-track candidates may complete the process in 2–3 weeks, while standard timelines allow for scheduling across multiple rounds and potential take-home assignments.

5.6 What types of questions are asked in the Move Business Analyst interview?
Expect a mix of technical, business strategy, and behavioral questions. You’ll be asked to solve business case studies, analyze experimental data, write SQL queries, model business processes, and discuss your experience managing stakeholders and ambiguous requirements. Move also emphasizes scenario-based questions relevant to online real estate, logistics, and user experience optimization.

5.7 Does Move give feedback after the Business Analyst interview?
Move generally provides feedback through recruiters, especially after onsite or final rounds. While detailed technical feedback may be limited, you can expect high-level insights on your strengths and areas for improvement. The recruitment team is responsive to candidate questions throughout the process.

5.8 What is the acceptance rate for Move Business Analyst applicants?
While Move does not publicly share acceptance rates, the Business Analyst role is competitive, with an estimated acceptance rate of 3–7% for qualified applicants. Candidates who demonstrate strong analytical skills, business acumen, and stakeholder management are most likely to advance.

5.9 Does Move hire remote Business Analyst positions?
Yes, Move offers remote opportunities for Business Analysts, with some roles requiring occasional in-person meetings or collaboration sessions. Flexibility depends on team needs and project requirements, but remote work is increasingly supported for analytics functions.

• Related guides:
  • Move interview questions
  • Business Analyst interview guide
  • Top SQL Business Analyst interview tips
  • What Is a Business Analyst? Career Path, Salary & Key Skills in 2025
  • 7 Best Business Analytics Projects for Your Resume (Updated for 2025)

Ready to ace your Move Business Analyst interview? It’s not just about knowing the technical skills—you need to think like a Move 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 Move and similar companies.

With resources like the Move 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. You’ll be able to practice experimental design and A/B testing, hone your business strategy thinking, and sharpen your stakeholder communication—all with scenarios and datasets relevant to Move’s dynamic online marketplace environment.

Take the next step—explore more case study questions, try mock interviews, and browse targeted prep materials on Interview Query. Bookmark this guide or share it with peers prepping for similar roles. It could be the difference between applying and offering. You’ve got this!