Data Analyst Mock Interview
Practice 40 Data Analyst interview questions covering SQL, statistics, and business insights.
Question 7 of 40
Do you have any experience working with statistical models? If so, please describe in as much detail as possible the statistical model you worked on and your role in creating it or using it to answer a business question.
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Helen Lee is a freelance data analyst and writer. She has over 15 years of marketing experience working for companies and clients in financial services, quick-service restaurants (QSR), consumer packaged goods (CPG), and education technology.
Not all data analysts will have experience working with statistical models. Interviewers, in most cases, will only be asking this question if statistical modeling was included in the job description. Having read your resume, they may be aware of your experience or lack of experience with statistical models and are asking the question to either confirm this or have you describe what you know about this topic and how you will be able to learn how to use it when hired.
Helen Lee is a freelance data analyst and writer. She has over 15 years of marketing experience working for companies and clients in financial services, quick-service restaurants (QSR), consumer packaged goods (CPG), and education technology.
"Working as a data analyst, I have had experience working with statisticians to help them build their models. Although I do not have direct experience building the model itself, I have aided them by analyzing data and ensuring they have access to the appropriate data. The model was built to help the sales team identify customers who were most likely to purchase additional products and services and when they would be most apt to make that decision. This model increased the sales team's efficiency so that time wasn't wasted with customers who were unlikely to purchase again in the near future. I aided in identifying the appropriate variables used in the model as well as evaluating the efficacy of the model upon completion."
William Swansen has worked in the employment assistance realm since 2007. He is an author, job search strategist, and career advisor who helps individuals worldwide and in various professions to find their ideal careers.
If you are surprised by this question, be upfront about your experience. If you have not had any direct involvement with statistical modeling work, attempt to highlight what you know about it and any training or exposure you may have had to it. The interviewer will appreciate your honesty and willingness to learn a new skill. Remember, statistical modeling work can include tasks such as building, using, or maintaining it.
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Statistical modeling is the process of applying statistical analysis to a dataset. A statistical model is a mathematical representation (or mathematical model) of observed data. I had worked on the regression model which is a supervised statistical model. To be more specific I use a multivariate linear regression model in two projects:
1.Predicting the insurance premium to be paid by the customer based on factors such as age, no. of dependents, the region where they live, BMI, gender, smokes and do not smoke, etc.
2.Prediction of the pricing of Boston real estate.
Marcie's Feedback
So, it sounds like you have substantial experience in working with statistical models, which is great! You might want to expand on exactly what your role was in creating the models (e.g., did you work on a team or independently?) and what business questions you were trying to answer. The more details you can offer, the better! Please see below.
Throughout the past several years, I have gained significant experience in working with statistical models. As you know, statistical modeling refers to the process of applying statistical analysis to a dataset and a statistical model itself is a mathematical representation or model of the observed data. I have become proficient in this type of modeling, and, in fact, within my last role, I helped create a multivariate linear regression model for two different projects. In the first case, my team and I used statistical modeling to predict the insurance premium to be paid by customers depending on their age, the number of dependants, location, BMI, gender, and whether they smoked or not. In the second case, we used the modeling to help predict the pricing of Boston real estate. In both cases, the statistical modeling provided us with predictions that greatly benefited the company.
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