Lowe's Senior Data Analyst Interview Questions and Answers

Key metrics for tracking growth in brick and mortar business.

• Sales revenue

• Customer footfall

• Average transaction value

• Customer retention rate

• Inventory turnover rate

• Gross profit margin

• Net promoter score

• Employee productivity

• Marketing ROI

KPIs are interrelated in a tree-like structure, with higher-level KPIs being influenced by lower-level ones.

• KPIs are Key Performance Indicators that measure the success of a business or project.

• KPIs can be organized in a tree-like structure, with higher-level KPIs being influenced by lower-level ones.

• For example, a company's overall revenue might be a high-level KPI, with lower-level KPIs such as sales revenue and cust...read more

Advertising a new store opening in a location

• Identify target audience and their preferences

• Create a catchy slogan and design attractive visuals

• Utilize social media platforms and local newspapers for promotion

• Offer discounts and promotions to attract customers

• Organize a grand opening event to create buzz and excitement

Analyzing customer segments to optimize marketing strategies and improve engagement.

• Identify customer demographics: Age, gender, income level, etc. (e.g., targeting millennials for tech products).

• Analyze purchasing behavior: Frequency, average spend, and product preferences (e.g., loyal customers vs. one-time buyers).

• Utilize data analytics tools: Leverage CRM systems to gather insights (e.g., Salesforce for tracking cu...read more

Logistic regression is a statistical method used to analyze and model the relationship between a binary dependent variable and one or more independent variables.

• It is a type of regression analysis used for predicting binary outcomes

• It uses a logistic function to model the probability of the dependent variable

• It is commonly used in fields such as healthcare, finance, and marketing

• Example: Predicting whether a customer w...read more

Logistic regression is a statistical method used to analyze and model the relationship between a dependent variable and one or more independent variables.

• It is a type of regression analysis used for predicting binary outcomes

• It uses a logistic function to model the probability of the dependent variable

• It is commonly used in fields such as healthcare, finance, and marketing

• Example: Predicting whether a customer will buy...read more