Angi is revolutionizing the home services industry by creating a seamless platform for homeowners, service professionals, and employees that makes finding qualified help easier than ever.
In the Business Intelligence role at Angi, you will be instrumental in shaping how data informs decision-making across the organization. Key responsibilities include architecting and designing self-service analytics and reporting, collaborating with business partners to define critical metrics, and developing in LookML and Snowflake-SQL to create insightful dashboards. You will also migrate legacy reports to Looker, establish best practices for data management, and serve as an expert administrator for Looker, guiding both developers and end-users. The ideal candidate will have a Bachelor's degree in a STEM field, 3-5 years of experience, and proficiency in SQL and Looker, along with a passion for innovation and analytics.
This guide is designed to equip you with the insights needed to excel in your interview for the Business Intelligence role at Angi, helping you to showcase your skills effectively while aligning with the company’s mission and values.
The interview process for the Business Intelligence role at Angi is structured to assess both technical skills and cultural fit, ensuring candidates align with the company's mission and values. The process typically unfolds in several key stages:
The first step involves a phone screening with a recruiter. This conversation is generally focused on your background, experience, and motivation for applying to Angi. The recruiter will also provide an overview of the company and the role, allowing you to gauge if it aligns with your career goals.
Following the initial screening, candidates are often required to complete a technical assessment. This may include a take-home coding challenge or a timed online assessment, where you will demonstrate your proficiency in SQL and other relevant tools. The assessment is designed to evaluate your analytical skills and ability to work with data, which are crucial for the Business Intelligence role.
Candidates who successfully pass the technical assessment will move on to a technical interview. This round typically involves discussions with team members or hiring managers, where you will be asked to explain your thought process behind the assessment and tackle additional technical questions. Expect to discuss your experience with Looker, Snowflake, and SQL, as well as your approach to data management and reporting.
In addition to technical skills, Angi places a strong emphasis on cultural fit. The behavioral interview will focus on your past experiences and how they relate to the company's values. Be prepared to answer questions using the STAR (Situation, Task, Action, Result) method, highlighting your problem-solving abilities and teamwork experiences.
The final stage often includes a panel interview with various stakeholders, including team leads and department managers. This round may involve case studies or role-playing scenarios to assess your ability to collaborate and communicate effectively. You might be asked to present your findings from the technical assessment or discuss how you would approach specific business challenges.
Throughout the process, candidates are encouraged to ask questions about the company culture, team dynamics, and expectations for the role, as this demonstrates your interest and engagement.
As you prepare for your interview, consider the types of questions that may arise in each of these stages, particularly those that focus on your technical expertise and past experiences.
Here are some tips to help you excel in your interview for the Business Intelligence role at Angi.
Angi is on a mission to transform the home services industry, and they value candidates who align with this vision. Familiarize yourself with their goals, recent initiatives, and how the Business Intelligence team contributes to the overall mission. During your interview, express your enthusiasm for their mission and how your skills can help advance it. This will demonstrate that you are not just looking for a job, but are genuinely interested in being part of their journey.
Given the emphasis on SQL and Looker in the role, ensure you are well-versed in these technologies. Brush up on SQL queries, especially those involving complex joins and data manipulation. Familiarize yourself with LookML and the principles of self-service analytics. You may encounter coding assessments or case studies, so practice with platforms like HackerRank or LeetCode to sharpen your problem-solving skills. Be ready to discuss your thought process and the rationale behind your solutions.
Behavioral questions are a significant part of the interview process at Angi. Use the STAR (Situation, Task, Action, Result) method to structure your responses. Prepare examples that showcase your problem-solving abilities, teamwork, and how you handle challenges. Given the feedback from previous candidates, be ready to discuss times when you faced disagreements or challenges in a team setting, and how you navigated those situations.
As a Business Intelligence professional, you will need to communicate complex data insights to non-technical stakeholders. During the interview, demonstrate your ability to simplify complex concepts. Practice explaining your past projects and the impact they had on the business in a clear and concise manner. This will not only highlight your technical expertise but also your ability to be a "simplifier of the complex," which is a valued trait at Angi.
Candidates have noted that the interviewers at Angi are friendly and approachable. Use this to your advantage by engaging them in conversation. Ask insightful questions about the team dynamics, ongoing projects, and how success is measured within the Business Intelligence team. This will show your interest in the role and help you gauge if the company culture aligns with your values.
The interview process at Angi can be extensive, often involving multiple rounds and assessments. Stay organized and keep track of your interview schedule. If you encounter any delays in communication, don’t hesitate to follow up politely. This demonstrates your professionalism and interest in the position.
Finally, take time to reflect on your past experiences and how they relate to the role. Be prepared to discuss your previous work with BI tools, data management, and any relevant projects. Highlight your achievements and how they can translate to success at Angi. This self-awareness will help you present yourself as a strong candidate who is ready to contribute from day one.
By following these tips, you will be well-prepared to make a positive impression during your interview at Angi. Good luck!
In this section, we’ll review the various interview questions that might be asked during a Business Intelligence interview at Angi. The interview process will likely focus on your technical skills, particularly in SQL and data analytics, as well as your ability to communicate effectively and collaborate with business partners. Be prepared to discuss your experience with BI tools, data management, and problem-solving in a team environment.
This question assesses your experience with data migration and your understanding of BI tools.
Outline the steps you take during the migration process, including data extraction, transformation, and loading (ETL), as well as any challenges you faced and how you overcame them.
“I typically start by assessing the existing reports and understanding the data sources. I then extract the data, clean and transform it to fit the new schema in Looker, and finally load it into the new system. During a recent migration, I encountered discrepancies in data formats, which I resolved by creating a mapping document to ensure consistency.”
This question evaluates your familiarity with Looker’s modeling language.
Discuss specific projects where you utilized LookML, emphasizing your ability to create self-service analytics and dashboards.
“In my previous role, I used LookML to build a series of dashboards that allowed users to explore sales data interactively. I created reusable dimensions and measures, which simplified the reporting process for the team and improved data accessibility.”
This question focuses on your approach to data management and quality assurance.
Explain the methods you implement to validate data, such as automated testing, peer reviews, or data profiling.
“I implement a combination of automated tests and manual reviews to ensure data quality. For instance, I regularly run data validation scripts to check for anomalies and discrepancies, and I also encourage team members to review each other’s work to catch any potential errors.”
This question assesses your communication and collaboration skills.
Describe your process for engaging with stakeholders to understand their needs and how you translate those into measurable metrics.
“I start by conducting workshops with business partners to gather their requirements and understand their goals. From there, I work on defining metrics that align with their objectives, ensuring that they are both actionable and relevant. I also provide documentation to clarify how each metric is calculated.”
This question allows you to showcase your analytical skills and the value you bring to the organization.
Detail a specific project, the analysis you performed, and the results or insights that were derived from it.
“I worked on a project analyzing customer churn rates, where I identified key factors contributing to customer attrition. By presenting these insights to the marketing team, we were able to implement targeted retention strategies that reduced churn by 15% over the next quarter.”
This question evaluates your problem-solving skills and resilience.
Use the STAR method (Situation, Task, Action, Result) to structure your response.
“In my last role, we faced a significant delay in a project due to unexpected data quality issues. I organized a team meeting to identify the root causes and developed a plan to address them. By reallocating resources and implementing a more rigorous data validation process, we were able to get back on track and meet our deadline.”
This question assesses your interpersonal skills and ability to navigate conflict.
Discuss how you listened to others’ perspectives and worked towards a resolution.
“During a project, I proposed a new reporting structure that some team members disagreed with. I facilitated a discussion where everyone could voice their concerns, and I listened carefully to their feedback. Ultimately, we reached a compromise that incorporated elements from both sides, leading to a more effective solution.”
This question allows you to highlight your key skills relevant to the position.
Identify a strength that aligns with the job requirements and provide an example of how you’ve applied it.
“My biggest strength is my analytical mindset. I excel at breaking down complex data sets and identifying trends. For instance, in my previous role, I used this strength to develop a predictive model that improved our sales forecasting accuracy by 20%.”
This question gauges your interest in the company and its mission.
Express your enthusiasm for the company’s goals and how your values align with theirs.
“I admire Angi’s commitment to transforming the home services industry and making it easier for homeowners to find reliable service professionals. I’m excited about the opportunity to contribute to this mission by leveraging my data analytics skills to drive insights that can enhance customer experiences.”
This question assesses your time management and organizational skills.
Explain your approach to prioritization and how you ensure that deadlines are met.
“I prioritize my work by assessing the urgency and impact of each task. I use project management tools to keep track of deadlines and regularly communicate with my team to ensure alignment. For example, during a busy quarter, I focused on high-impact projects first while delegating less critical tasks to team members.”