Angi Data Analyst Interview Questions + Guide in 2025

Angi is revolutionizing the home services industry by connecting homeowners with qualified service professionals, aiming to create a seamless experience for home maintenance and improvement.

As a Data Analyst at Angi, you will play a crucial role in transforming complex data into actionable insights that drive business strategies across various departments such as sales, customer care, product development, and finance. Your key responsibilities will include analyzing and optimizing the performance of A/B tests, understanding the effectiveness of dialing cadences, and building models for forecasting essential metrics like headcount and productivity. A strong foundation in statistical analysis, advanced expertise in Excel and SQL, and proficiency in statistical programming languages (such as R or Python) will be vital to excel in this role.

Ideal candidates will possess 1-4 years of experience in an analytical capacity, showcasing their ability to synthesize data into meaningful information and present concise analyses to leadership teams. A proactive mindset with the ability to manage multiple projects concurrently, along with a strong commitment to validating results through data reconciliation, will set you apart. This role aligns with Angi's mission of fostering a diverse and innovative workplace, where a variety of perspectives contribute to solving complex problems and driving business value.

This guide will help you prepare for your interview by equipping you with an understanding of the key responsibilities and skills required for the role, as well as insights into Angi’s core values and operational processes.

The interview process for a Data Analyst position at Angi is designed to assess both technical skills and cultural fit within the company. It typically consists of several structured steps that allow candidates to showcase their analytical abilities and interpersonal skills.

1. Initial Screening

The process begins with an initial screening conducted by an internal recruiter. This is typically a brief phone or video call where the recruiter will discuss the role, the company culture, and your background. The aim is to gauge your interest in the position and determine if your skills align with Angi's needs.

2. Case Study and Presentation

Following the initial screening, candidates are often required to complete a case study. This involves analyzing a dataset relevant to Angi's business and preparing a presentation of your findings. This step is crucial as it allows candidates to demonstrate their analytical skills, problem-solving abilities, and proficiency in data visualization. The presentation is usually conducted over a video call, where you will present your insights to a panel of interviewers.

3. Team Interviews

After the case study, candidates typically participate in interviews with various team members. These interviews focus on both technical and behavioral aspects. You can expect questions that assess your experience with data analysis tools, statistical methods, and your ability to work collaboratively in a cross-functional environment. The interviewers will also evaluate your understanding of Angi's business model and how your skills can contribute to the team's objectives.

4. Social Interview

A unique aspect of Angi's interview process is the "social" interview. This informal meeting allows candidates to interact with potential future colleagues in a relaxed setting. It provides an opportunity to learn more about the company culture and the team dynamics, while also allowing the interviewers to assess your interpersonal skills and cultural fit within the organization.

As you prepare for your interviews, it's essential to be ready for the specific questions that may arise during this process.

Here are some tips to help you excel in your interview.

Embrace the Case Study Approach

During the interview process, you may encounter a case study that requires you to analyze data and present your findings. Approach this with a structured mindset: clearly define the problem, outline your methodology, and present your insights logically. Practice articulating your thought process as you work through the case, as this will demonstrate your analytical skills and ability to communicate complex information effectively.

Prepare for a Social Interview

Angi values cultural fit, and you may have a "social" interview where you meet potential colleagues. Use this opportunity to showcase your personality and interpersonal skills. Be prepared to discuss your interests outside of work and how they align with Angi's mission. This is also a chance to ask questions about team dynamics and company culture, so come with thoughtful inquiries that reflect your genuine interest in the team.

Highlight Cross-Functional Collaboration

Given the cross-functional nature of the role, be ready to discuss your experience working with different teams. Share examples of how you have collaborated with sales, product development, or finance in previous roles. Emphasize your ability to translate data insights into actionable strategies that benefit various stakeholders, as this will resonate with Angi's emphasis on partnership across departments.

Showcase Your Technical Proficiency

Angi seeks candidates with strong technical skills, particularly in SQL and Excel. Be prepared to discuss specific projects where you utilized these tools to derive insights or solve problems. If possible, bring examples of your work or be ready to walk through a technical challenge during the interview. This will not only demonstrate your expertise but also your readiness to contribute to the team from day one.

Understand the Business Model

Familiarize yourself with Angi's two-sided marketplace model, which connects homeowners with service professionals. Be prepared to discuss how data analytics can drive value in such a complex ecosystem. Consider how you would approach analyzing A/B tests or measuring customer lifetime value, as these are key components of the role. Showing that you understand the business context will set you apart as a candidate who is not only technically skilled but also strategically minded.

Be Ready to Pivot

The ability to manage multiple projects and pivot quickly is crucial in this role. Prepare to discuss instances where you successfully adapted to changing priorities or tackled unexpected challenges. Highlight your organizational skills and how you prioritize tasks to meet deadlines. This will demonstrate your agility and readiness to thrive in a dynamic work environment.

Emphasize Diversity and Inclusion

Angi values diverse perspectives and experiences. Be prepared to discuss how your unique background can contribute to the team and the company’s mission. Share experiences that highlight your commitment to inclusivity and collaboration, as this aligns with Angi's culture and values.

By following these tips, you will be well-prepared to showcase your skills and fit for the Data Analyst role at Angi. Good luck!

In this section, we’ll review the various interview questions that might be asked during a Data Analyst interview at Angi. The interview process will likely assess your analytical skills, technical expertise, and ability to derive insights from complex data sets. Be prepared to discuss your experience with data analysis, statistical methods, and how you can contribute to Angi's mission of transforming the home services industry.

Data Analysis and Insights

1. Can you describe a project where you used data analysis to drive business decisions?

This question aims to understand your practical experience in applying data analysis to real-world scenarios.

How to Answer

Focus on a specific project where your analysis led to actionable insights. Highlight the data sources you used, the methods of analysis, and the impact of your findings on the business.

Example

“In my previous role, I analyzed customer feedback data to identify trends in service satisfaction. By employing sentiment analysis techniques, I discovered that response times were a significant pain point. My recommendations led to a 20% improvement in customer satisfaction scores over the next quarter.”

2. How do you approach validating the results of your analyses?

This question assesses your understanding of data integrity and validation techniques.

How to Answer

Discuss the methods you use to ensure the accuracy of your analyses, such as cross-referencing with other data sources or conducting A/B tests.

Example

“I always validate my results by comparing them with data from other reliable sources. For instance, in a recent project, I cross-checked my sales forecasts with historical sales data and adjusted my models accordingly, which improved the accuracy of my predictions by 15%.”

Technical Skills

3. What is your experience with SQL, and can you provide an example of a complex query you’ve written?

This question evaluates your technical proficiency with SQL, which is crucial for the role.

How to Answer

Describe your experience with SQL, focusing on specific queries that demonstrate your ability to manipulate and analyze data effectively.

Example

“I have extensive experience with SQL, including writing complex queries involving multiple joins and subqueries. For example, I created a query that aggregated sales data across different regions and product lines, which helped identify underperforming areas and informed our marketing strategy.”

4. How do you handle missing or incomplete data in your analyses?

This question tests your problem-solving skills and understanding of data quality issues.

How to Answer

Explain your strategies for dealing with missing data, such as imputation techniques or data cleaning methods.

Example

“When faced with missing data, I first assess the extent and pattern of the missingness. I often use imputation techniques, such as mean substitution or regression imputation, to fill in gaps. However, I also ensure to document these decisions to maintain transparency in my analysis.”

Statistical Knowledge

5. Can you explain the concept of A/B testing and how you would implement it?

This question gauges your understanding of experimental design and its application in business contexts.

How to Answer

Discuss the principles of A/B testing, including how to set up experiments, measure outcomes, and interpret results.

Example

“A/B testing involves comparing two versions of a variable to determine which performs better. I would implement it by randomly assigning users to either group A or group B, ensuring that the sample size is adequate for statistical significance. After running the test, I would analyze the conversion rates and use statistical methods to confirm the results are not due to chance.”

6. What statistical methods do you find most useful in your analyses, and why?

This question seeks to understand your familiarity with statistical techniques and their applications.

How to Answer

Mention specific statistical methods you frequently use and explain their relevance to your work.

Example

“I often use regression analysis to understand relationships between variables, as it helps in predicting outcomes based on historical data. Additionally, I find hypothesis testing valuable for making data-driven decisions, especially when evaluating the effectiveness of marketing campaigns.”

Business Acumen

7. How do you prioritize your projects when you have multiple deadlines?

This question assesses your time management and prioritization skills.

How to Answer

Describe your approach to managing multiple projects, including any frameworks or tools you use to stay organized.

Example

“I prioritize my projects by assessing their impact on business goals and deadlines. I use project management tools to track progress and communicate with stakeholders. For instance, I focus on high-impact analyses that align with strategic initiatives, ensuring that I meet critical deadlines without compromising quality.”

8. Describe a time when you had to present complex data to a non-technical audience. How did you ensure they understood?

This question evaluates your communication skills and ability to convey technical information effectively.

How to Answer

Share an experience where you simplified complex data for a non-technical audience, emphasizing your communication strategies.

Example

“I once presented a detailed analysis of customer behavior to our marketing team. To ensure understanding, I used visual aids like charts and graphs to illustrate key points. I also avoided jargon and focused on the implications of the data, which helped the team grasp the insights and apply them to our campaigns.”